AI & Machine Learning News. 08, April 2019


TensorFlow is dead, long live TensorFlow 2.0!

The revolution is here! Welcome to TensorFlow 2.0. If you’re an AI enthusiast and you didn’t see the big news this month, you might have just snoozed through an off-the-charts earthquake. Everything is about to change! In the new version, everything you’ve hated most about TensorFlow 1.x gets the guillotine. Having to perform a dark ritual just to add two numbers together? Dead. TensorFlow Sessions? Dead. A million ways to do the exact same thing? Dead. Rewriting code if you switch hardware or scale? Dead. Reams of boilerplate to write? Dead. Horrible unactionable error messages? Dead. Steep learning curve? Dead. 2019-04-04 00:00:00 Read the full story. CloudQuant Thoughts… The big nine (FTI Trends 2019 – US: Google, Amazon, Microsoft, Apple, IBM and Facebook. China : Baidu, Alibaba and Tencent) continue to push the boundaries of ML and AI making many of their breakthroughs available to all.  

Researchers use ‘small stickers’ on road to send Tesla Autopilot off course

The car was tricked into steering into the opposing traffic lane. Researchers at the Tencent Keen Security Lab have figured out how to use stickers on the road to send Tesla’s Autopilot off course. The team initially concluded that Autopilot’s lane-recognition system “has good robustness,” presumably because Tesla uses many abnormal lanes, such as broken or occluded lines, in their training model to keep the system on track when real-world markings are less than perfect. Autopilot’s strength in recognizing imperfect lane markings is said to make the system more sensitive to certain types of misinformation, however. With just three seemingly inconspicuous stickers placed in the middle of a lane, the system was tricked into changing course into the opposing lane. In a real-world scenario, such an ‘attack’ could make the car go the wrong way against traffic. 2019-04-02 00:00:00 Read the full story. Interest Score: 2.4032, Positive Sentiment: 0.1076, Negative Sentiment 0.1793 CloudQuant Thoughts… Of course, let’s not get carried away, if you train a car to watch the road for lanes and it can be tricked into changing direction by the use of three stratigically placed reflective stickers then you have a problem. These were stickers people! Not hackers, and not even adversarial examples…    

‘How is this possible?’ Analysts puzzle over stock market’s rally amid equity-fund exodus

U.S. stocks at the end of March posted their best quarter in nearly a decade, but they did so without help from investors in U.S. stock mutual funds and exchange-traded funds, which have seen sizable outflows since the start of the year, according to data from Lipper and EPFR global. “This has been a huge question for us: How this is possible?” Jared Woodward investment strategist at Bank of America Merrill Lynch told MarketWatch. He said although it isn’t unprecedented for equity fund flows to be negative while stock prices climbed, the pace and magnitude of the stock market’s rise and equity outflows are much greater so far this year. Back in 2016, equity outflows totaled $93 billion, but the accompanying 5% rise in global stocks was far less potent than this current period, the analysts said. Woodward and his colleagues theorized in a Thursday research report that the divergence between outflows and outsize gains, perhaps, can be explained by corporate buybacks, as S&P 500 firms have repurchased $227 billion of their own stock in the first quarter of 2019, according to FactSet data, up from $143 billion in the first quarter of 2018. 2019-04-05 00:00:00 Read the full story. Interest Score: 2.3322, Positive Sentiment: 0.1014, Negative Sentiment 0.2434 CloudQuant Thoughts… So are they getting it wrong? Or are they rapidly packing and sneaking out the back door whilst saying “no, everything’s perfectly normal, nothing to see here, carry on buying!” (Remember, Lehman Bros was kept on life support just long enough to make sure that those in the know got at least some of their money out in time). Either we are in for a big crash or they have made a really poor prediction.  Can you track inflows and outflows, do you have a unique view of the market that you could write in Python and demonstrate as profitable? If so head over to and code it up. We are prepared to back it with large capital and no risk to you.  

Microsoft’s Free Online AI Business School to Educate on Power of AI

Microsoft, which is working to expand the use of artificial intelligence in its products from Azure to Windows, has launched a free new online AI Business School to help encourage and educate business leaders about innovative ways they can use the power of AI to drive their companies and better serve their customers. “There is a gap between what people want to do and the reality of what is going on in their organizations today and the reality of whether their organization is ready,” Mitra Azizirad, corporate vice president for AI marketing at Microsoft, said in a recent post on the Microsoft Blog. “Developing a strategy for AI extends beyond the business issues. It goes all the way to the leadership, behaviors and capabilities required to instill an AI-ready culture in your organization.” 2019-04-01 00:00:00 Read the full story. Interest Score: 1.3795, Positive Sentiment: 0.1604, Negative Sentiment 0.0321 CloudQuant Thoughts… The reasoning is obvious, if you teach them how to use YOUR AI environment then they will likely continue to use just your AI tools. Still it is a very generous and appealing offer.  
Below the Fold…

Young Engineers: Goldman Sachs Will Pay You Big to Build

If you haven’t heard, Goldman Sachs is rolling out a one-year program aimed at giving young engineers access to the bank’s proprietary code and APIs to research and build new products. The headliner is that Goldman will pay recent graduates $100k for 12 months of work, even if nothing commercially viable comes out of the project. For those who are interested, here’s what you need to know. 2019 grads are the focus. While the GS Digital Innovators Research Program is open to anyone, the bank is clearly targeting students who will graduate next spring or summer from an undergrad or postgrad program. Considering the scope of the program, you’ll need a degree in computer science, math, statistics, engineering or a related field, according to the job posting. The program runs from August 2019 to September 2020. Applications are due at the end of May 2019, though Goldman said it will rely on a rolling admission process, so getting your application in early certainly won’t hurt. It’s full time, but not in the traditional sense. New “hires” will be required to pursue their research full-time, though they will be contractors, not Goldman Sachs employees. However, a Goldman spokesperson told us that they’ll still have access to health insurance and some other benefits that are provided to employees if they work 30+ hours a week. 2019-04-04 00:00:00 Read the full story. Interest Score: 1.4210, Positive Sentiment: 0.1115, Negative Sentiment 0.1115  

5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019

GitHub repositories and Reddit discussions – both platforms have played a key role in my machine learning journey. They have helped me develop my knowledge and understanding of machine learning techniques and business acumen. Both GitHub and Reddit also keep me abreast of the latest developments in machine learning – a MUST for anyone working in this field! And if you’re a programmer, well – GitHub is like a temple for you. You can easily download the code and replicate it on your machine. This makes learning new ideas and building a diverse skillset even easier. Github
  • PyTorch Implementation of DeepMind’s BigGAN
  • SiamMask – Fast Online Object Tracking and Segmentation
  • 3-D Human Pose Detection
  • DeepCamera – World’s First AutoML Deep Learning Edge AI Platform
  • Want to Write a Machine Learning Research Paper? Here are a Few Tips and Best Practices
  • Ever Wondered how to use your Trained sklearn/xgboost/lightgbm Models in Production?
  • Automated Machine Learning will Radically Change Data Science Roles
  • Data Scientist Job Hunting Tips
  • Improving your Business Acumen as a Data Scientist
2019-04-04 04:18:08+00:00 Read the full story. Interest Score: 1.0425, Positive Sentiment: 0.2581, Negative Sentiment 0.1589  

AI must be accountable, says EU as sets ethical guidelines

Companies working with artificial intelligence need to install accountability mechanisms to prevent its being misused, the European Commission said on Monday, under new ethical guidelines for a technology open to abuse. AI projects should be transparent, have human oversight and secure and reliable algorithms, and they must be subject to privacy and data protection rules, the commission said, among other recommendations. The European Union initiative taps in to a global debate about when or whether companies should put ethical concerns before business interests, and how tough a line regulators can afford to take on new projects without risking killing off innovation. 2019-04-08 11:57:59+00:00 Read the full story. Interest Score: 1.2746, Positive Sentiment: 0.1593, Negative Sentiment 0.3717  

Google dissolves AI ethics board just one week after forming it

Google today disclosed that it has dissolved a short-lived, external advisory board designed to monitor its use of artificial intelligence, following a week of controversy regarding the company’s selection of members. The decision, reported first today by Vox, is largely due to outcry over the board’s inclusion of Heritage Foundation president Kay Coles James, a noted conservative figure who has openly espoused anti-LGBTQ rhetoric and, through the Heritage Foundation, fought efforts to extend rights to transgender individuals and to combat climate change. The advisory board, called the Advanced Technology External Advisory Council (ATEAC), included a number of prominent academics in fields ranging from AI and philosophy to psychology and robotics. But it also included those with policy backgrounds, like James and members of former US presidential administrations. 2019-04-05 00:00:00 Read the full story.

AI Weekly: Google’s ethics council barely lasted a week, but there’s a thin silver lining

Google disbanded its external AI ethics board on Thursday, only 10 days after it was formed to advise the Alphabet company about potential issues with AI models. Critics of the Advanced Technology External Advisory Committee (ATEAC) seemed to primarily oppose Heritage Foundation president Kay Cole James, who Google employees say voiced anti-immigrant, anti-gay, and anti-transgender statements. Another member of the eight-person committee resigne… 2019-04-05 00:00:00 Read the full story. Interest Score: 1.0113, Positive Sentiment: 0.1416, Negative Sentiment 0.3641

Google ditches controversial AI ethics board – one week after launch

Google’s long-awaited artificial intelligence ethics committee has lasted just eight days, after a row broke out over the inclusion of an “anti-trans, anti-LGBT, anti-immigrant” conservative. The search giant was lambasted by employees for enlisting Kay Coles James, president of the Heritage Foundation who is a vocal opponent of the LGBT community. More than 2,000 workers have signed a petition titled “Googlers Against Transphobia and Hate… 2019-04-05 00:00:00 Read the full story. Interest Score: 0.7072, Positive Sentiment: 0.1414, Negative Sentiment 0.2829

Google AI Ethics Council In Disarray After First Week

Google recently appointed an external ethics council to deal with tricky issues in artificial intelligence. The group is meant to help the company appease critics while still pursuing lucrative cloud computing deals. In less than a week, the council is already falling apart, a development that may jeopardize Google’s chance of winning more military cloud-computing contracts. On Saturday, Alessandro Acquisti, a behavioral economist and privacy researcher, said he won’t be serving on the council. “Whi… 2019-04-05 14:20:20+00:00 Read the full story. Interest Score: 0.9863, Positive Sentiment: 0.1715, Negative Sentiment 0.6003e

EU beats Google to the punch in setting strategy for ethical A.I.

Less than one week after Google scrapped its AI ethics council, the European Union has set out its own guidelines for achieving “trustworthy” artificial intelligence. On Monday, the European Commission released a set of steps to maintain ethics in artificial intelligence, as companies and governments weigh both the benefits and risks of the far-reaching technology. “The ethical dimension of AI is not a luxury feature or an add-on,” said Andrus Ansip, EU vice-president for the digital single market, in a press release Monday. “It is only with trust that our … 2019-04-08 00:00:00 Read the full story. Interest Score: 1.5625, Positive Sentiment: 0.1838, Negative Sentiment 0.0919

European Commission announces pilot program for AI ethics guidelines

The European Commission will launch a pilot project this summer designed to test ethical guidelines it has developed for the use of artificial intelligence. Companies, public agencies, and other organizations can now join the European AI Alliance which will officially notify members when the pilot starts. “The ethical dimension of AI is not a luxury feature or an add-on,” said Vice-President for the Digital Single Market Andrus Ansip in a statement. “It is only with trust that our society can fully benefit from technologies. Ethical AI is a win-wi… 2019-04-08 00:00:00 Read the full story. Interest Score: 1.2151, Positive Sentiment: 0.3612, Negative Sentiment 0.1970

XGBoost Algorithm: Long May She Reign!

I still remember the day 1 of my very first job fifteen years ago. I had just finished my graduate studies and joined a global investment bank as an analyst. On my first day, I kept straightening my tie and trying to remember everything that I had studied. Meanwhile, deep down, I wondered if I was good enough for the corporate world. Sensing my anxiety, my boss smiled and said: “Don’t worry! The only thing that you need to know is the regression modeling!” I remember thinking myself, “I got this!”. I knew regression modeling; both linear and logistic regression. My boss was right. In my tenure, I exclusively built regression-based statistical models. I wasn’t alone. In fact, at that time, regression modeling was the undisputed queen of predictive analytics. Fast forward fifteen years, the era of regression modeling is over. The old queen has passed. Long live the new queen with a funky name; XGBoost or Extreme Gradient Boosting! 2019-04-08 00:56:39.271000+00:00 Read the full story. Interest Score: 2.1721, Positive Sentiment: 0.1671, Negative Sentiment 0.0000  

Splice Machine Launches Beta Program for ML Manager

Splice Machine has introduced a beta program for ML Manager, a native data science and machine learning platform to help data science teams to maximize the performance of their machine learning models by removing the latency associated with building complex data pipelines, performing cumbersome transformations and training models on updated data. With ML Manager, data scientists can experiment on more data pipelines to optimize their models so that when they eventually deploy the model into the production environment, it can be effective faster. Because ML Manager runs the machine learning models at the database level using the most current data available it facilitates retraining the model whenever the underlying data attributes change, ensuring that the model is operating at its optimum performance. 2019-04-02 00:00:00 Read the full story. Interest Score: 2.4032, Positive Sentiment: 0.1076, Negative Sentiment 0.1793  

Redis Labs Creates New Solution for IoT

Redis Labs, the home of Redis and provider of Redis Enterprise, is introducing a solution, RedisEdge, for Internet of Things (IoT) and edge computing applications. RedisEdge delivers fast performance, with a lean footprint to analyze millions of data streams in less than a millisecond, meeting the stringent latency requirements of any edge environment including devices, sensors, actuators, and even in “cloud edge” and micro data centers. RedisEdge handles heterogeneous data in varying formats with a multi-model solution, removing the complexities of developing applications for a range of connected devices. 2019-04-04 00:00:00 Read the full story. Interest Score: 2.1717, Positive Sentiment: 0.2020, Negative Sentiment 0.1515

Develop An Artificial Intelligence Strategy; Include These 9 Things

Artificial intelligence (AI) has the potential to transform every business – in the same way (and possibly more) as the internet has utterly transformed the way we do business. From smarter products and services to better business decisions and optimised (or even automated) business processes, AI has the power to change almost everything. Those businesses that don’t capitalise on the transformative power of AI risk being left behind. That’s why you need an AI strategy for your business. One question people often ask me is, ‘Do I still need a separate AI strategy if I’ve already got a data strategy’? In my view, yes, you should have both. In theory, if your data strategy was extremely comprehensive and fully considered the use of AI, then that might be enough. But in practice, a data strategy alone is rarely enough. I therefore recommend every company has a separate AI strategy. So what should you include in your AI strategy? 2019-04-02 14:00:06+00:00 Read the full story. Interest Score: 1.9868, Positive Sentiment: 0.1104, Negative Sentiment 0.1545

One-third of retail banks planning to build digital brands

As many as a third of retail banks are looking to build a greenfield digital bank to ward off competition from upstart challengers and cherry-picking fintechs. A survey of 405 global bank executives conducted by the Economist Intelligence Unit on behalf of Temenos, highlights how new technologies such as AI, open APIs and cloud are compelling banks to rethink their business strategies in preparation for a new age of digital banking. 2019-04-04 10:02:00 Read the full story. Interest Score: 1.9828, Positive Sentiment: 0.1983, Negative Sentiment 0.1983

NetApp MAX Data Now Supports Intel Optane DC Persistent Memory

.3 is supporting the Intel Optane DC persistent memory. According to NetApp, companies are challenged with using enormous volumes of data to achieve business impact, and new applications such as AI, machine learning, deep learning, real-time analytics, and IoT which are memory-hungry and fueled by massive datasets, are compounding the challenge. MAX Data aims to give customers the tools to unlock the value of vast datasets and extend a data fabric strategy all the way into their servers with applications and data that are critical to their business. “With NetApp MAX Data now supporting Intel Optane DC pers… 2019-04-02 00:00:00 Read the full story. Interest Score: 1.9668, Positive Sentiment: 0.1844, Negative Sentiment 0.4302

Alteryx Acquires ClearStory Data to Accelerate Innovation in Data Science and Analytics

A recent press release states, “Alteryx, Inc., revolutionizing business through data science and analytics, today announced that it has acquired ClearStory Data, a privately held software company based in Menlo Park, Calif. ClearStory Data is an enterprise-scale, continuous intelligence analytics solution for complex and unstructured data. Since its founding in 2011, ClearStory Data has focused on enabling intelligent automation on large-scale data processing platforms, including Spark™…. 2019-04-08 07:15:15+00:00 Read the full story. Interest Score: 1.9163, Positive Sentiment: 0.4034, Negative Sentiment 0.0000

Architecting a Machine Learning Pipeline

— ②: Data Preparation Data exploration, data transformation and feature engineering. Once the data is ingested, a distributed pipeline is generated which assesses the condition of the data, i.e. looks for format differences, outliers, trends, incorrect, missing, or skewed data and rectify any anomalies along the way. This step also includes the feature engineering process. There are three main phases in a feature pipeline: extraction, transform… 2019-04-05 14:12:44.579000+00:00 Read the full story (Registration Wall). Interest Score: 1.9154, Positive Sentiment: 0.0746, Negative Sentiment 0.1493

Meet The Six Startups From NetApp Excellerator Programme 2019

NetApp has announced the names of six startups for this year’s NetApp Excellerator Programme recently. The programme which started in 2017, trains a batch of six startups from across various sectors as part of its accelerator programme and will provide them with mentorship and monetary support. The six startups for this year’s cohort, who was selected from a pool of 300 applicants include QuNu Labs, SecurelyShare, Zappy.AI, Ecolibrium Energy, Ed… 2019-04-04 04:56:45+00:00 Read the full story. Interest Score: 1.8984, Positive Sentiment: 0.0257, Negative Sentiment 0.0000

MICROSOFT One Year In: How our $5B investment in IoT and intelligent edge is accelerating customer, partner and solution innovation

One year ago, we announced our commitment to invest $5B in IoT (Internet of Things) and intelligent edge – technology that is accelerating ubiquitous computing and bringing unparalleled opportunity for transformation across industries. Our commitment is to a build trusted, easy to use platform for our customers and partners to build solutions – no matter where they are starting in their IoT journey. Our customers are embracing IoT as a core stra… 2019-04-04 00:00:00 Read the full story. Interest Score: 1.8221, Positive Sentiment: 0.4604, Negative Sentiment 0.1274

Will an ‘unsustainable’ rally in stocks and bonds extend a soaring quarter for ‘sleep-easy’ portfolios?

For investors who followed a “sleep-easy” portfolio balanced between stocks and bonds, the twin-barreled rally in both assets in the first quarter of 2019 has delivered close to double-digit returns. Yet market participants say these gains have led equities and debt yields to send wildly contradictory signals over the U.S. economy’s health, with the rise in equities indicating the recent slowdown will only remain a soft patch, even as the rise in bond prices and slide in yields imply a more pessimistic outlook for the rest of the year. This divergence between equities and yields goes against textbook finance theory, drawing questions of how long this benign environment for both risk and haven assets can last. 2019-04-06 00:00:00 Read the full story. Interest Score: 1.7738, Positive Sentiment: 0.2534, Negative Sentiment 0.4163

25 AI Terminologies & Jargons You Must Assimilate To Sound Like A Pro

As artificial intelligence becomes more complex, evolving technologies and the jargon associated with it might sound unfamiliar or strange to you. In this article, we have compiled the most important terms that are related to AI for you to flaunt in your next meeting. 2019-04-08 09:33:37+00:00 Read the full story. Interest Score: 1.7569, Positive Sentiment: 0.0950, Negative Sentiment 0.0950

How AI Data Actually Moves from Collection to Algorithm

It seems as if we hear more talk each day about the high potential for artificial intelligence (AI) and the techniques, like machine learning (ML), used to achieve it. As AI grows in prominence, stories of use cases or potential, future use cases will also become more ubiquitous. Though excitement about AI and ML is legitimately growing, we hear little about how the data actually goes from collection to algorithm. By examining the process behind building hypothetical machine learning models, we can look at what important processes are often glossed over in articles extolling the virtues of AI. In this eWEEK Data Points article, Kiran Vajapey, human-computer interaction developer at Figure Eight, offers five key insights about this data journey and how it works. Figure Eight Inc. has developed a human-in-the-loop AI software platform that trains, tests and tunes machine learning models for data science and machine learning teams. It supports text, image, audio and video data types. 2019-04-03 00:00:00 Read the full story. Interest Score: 1.7480, Positive Sentiment: 0.2768, Negative Sentiment 0.0728

How Bots Are Creating Next-Gen Funds

Kensho Technologies was focused on analyzing North Korean missile launches, earthquakes and elections when John van Moyland joined in 2014. The Central Intelligence Agency was among its early backers. Now, its focus has shifted to finance. S&P Global Inc. bought the firm last year and the artificial-intelligence startup lasered in on another technical challenge: developing the next generation of indexed funds. According to van Moyland, machines are ready to design better indexes to underpin investment vehicles passively managing $7.3 trillion in the U.S. “We’re doing what a lot of research shops have done with humans in the past — and doing it at scale, in a highly predictable, highly automated, efficient way,” van Moyland, managing director and global head of S&P Kensho Indices, said in an interview. “Why would you ever limit yourself to aged financial data when there’s a sea of information out there?” 2019-04-01 00:00:00 Read the full story. Interest Score: 1.7444, Positive Sentiment: 0.0841, Negative Sentiment 0.1051

Here’s Why Automation For Data Lakes Could Be Important

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation. These massive storage pools of data are among the most non-traditional methods of data storage around and they came about as companies … 2019-04-02 15:48:58+00:00 Read the full story. Interest Score: 1.7216, Positive Sentiment: 0.2375, Negative Sentiment 0.2968

Apache Spark Is Great, But It’s Not Perfect

Apache Spark is one of the most widely used tools in the big data space, and will continue to be a critical piece of the technology puzzle for data scientists and data engineers for the foreseeable future. With that said, the open source technology isn’t perfect, and prospective users should be aware of its limitations when taking on new projects. It’s hard to believe, but Apache Spark is turning 10 years old this year, as we wrote about last mo… 2019-04-03 00:00:00 Read the full story. Interest Score: 1.7133, Positive Sentiment: 0.2526, Negative Sentiment 0.2197

China’s Source Code Capital raises $570M as it builds a powerful investor network

Source Code Capital, the venture capital firm that’s backed some of China’s most prominent tech unicorns and boasts a network of high-profile investors and founders, announced Monday it has closed a new $570 million fund as it continues to hunt down early to mid-stage companies. The latest close catapults Source Code’s capital under management to $1.5 billion and 3.5 billion yuan divided between six funds. Investors in the new fund, according to the company, span major pensions, sovereign wealth funds, college endowments, charities, private equity firms, among other institutions. Source Code was founded in 2014 by Cao Yi, who studied computer science at China’s prestigious Tsinghua University and later became vice president at Sequoia Capital China, stints that might have helped him spot high-potential startups early on. To date, Source Code has backed close to 150 startups, including up-and-comers Bytedance, the TikTok parent that’s now the world’s most valuable startup; food delivery leader Meituan Dianping, which listed in Hong Kong last year; micro-credit provider Qudian, whose New York IPO marked one of the biggest for a Chinese fintech company that year; Mogu, a Tencent-backed fashion ecommerce site that floated on the Nasdaq last year; just to name a few. 2019-04-08 00:00:00 Read the full story. Interest Score: 1.6566, Positive Sentiment: 0.4895, Negative Sentiment 0.0753

Visibility into trade data is vital as style drift swirls around AMs

Compressed margins and fear of disruption by tech giants is driving asset managers to search for new ways to raise revenue, reduce costs, and develop new funds and products. But these trends also imply a significant amount of unpredictability and operational turmoil that some managers’ IT teams are unprepared for. Pressures on asset managers are broad and growing. In reacting to compressed margins today and expectation of disruption by tech gian… 2019-04-04 22:51:37 Read the full story. Interest Score: 1.5942, Positive Sentiment: 0.4167, Negative Sentiment 0.1812

Temenos Launches Data Lake to Fuel Next-Generation AI-Driven Banking Applications

A recent press release reports, “Temenos, the banking software company, today launched Temenos Data Lake and is first to market with a robust, productized data lake that integrates big data analytics into its banking software. Temenos Data Lake delivers out-of-the box data integration, preparation and optimization to power AI-driven banking applications. Banks require a robust big data and advanced analytics capability to compete with the analytically driven new market entrants. Banks struggle with the ingestion, cleansing, blending, and optimization of data to prepare it for analyt… 2019-04-08 07:05:33+00:00 Read the full story. Interest Score: 1.5826, Positive Sentiment: 0.1172, Negative Sentiment 0.1758

How to Get Started with AI You can Trust?

Today the public sees AI as a technical solution, but AI’s biggest problems are not technical, they’re the design and behavioral issues. “There is nothing Artificial about AI” to quote Fei Fei Li, a leading AI researcher at Stanford University. AI is inspired by people, it is created by people, and – most importantly – it impacts people. It is a powerful tool we are only just beginning to understand, and that is a profound responsibility. Therefore, it is the responsibility of business leaders and AI designers to take a comprehensive view of AI that focuses on designing systems that engage users in a way that delivers exceptional experiences while building trust. And trust is a very complex concept especially in the context in machine learning powered self-learning systems. To do this right requires a reframing our approach to AI design built around these five pillars… 2019-04-08 07:30:39+00:00 Read the full story. Interest Score: 1.5652, Positive Sentiment: 0.1407, Negative Sentiment 0.2990  

European Commission sets up fintech innovation forum

The European Commission has launched a European Forum for Innovation Facilitators (EFIF), to improve cooperation and coordination of national regulatory bodies in support of the region’s booming fintech economy. The objective of the programme is to foster information sharing and provide a joined-up approach to the creation of innovation hubs and regulatory sandboxes across the EU. Valdis Dombrovskis, vice-president in charge of financial stab… 2019-04-03 09:51:00 Read the full story. Interest Score: 1.5409, Positive Sentiment: 0.6376, Negative Sentiment 0.0531

How To Avoid Nightmares When Onboarding AI-Powered Regtech

The rapidly expanding realm of artificial intelligence (AI) presents a powerful tool for meeting the requirements of regulatory oversight. But like any powerful tool, using it incorrectly can lead to disaster. I have seen firms allocate large budgets to onboard extremely advanced technology to solve a particular challenge, but their efforts are not always successful. In my experience, many of the challenges businesses are trying to solve are inte… 2019-04-05 23:52:06 Read the full story. Interest Score: 1.5217, Positive Sentiment: 0.1432, Negative Sentiment 0.5908

Is There A Single-Source Provider For Data Management? Not Yet

Architects can, and do, choose a primary cloud service provider and/or Hadoop system to house their data. Moving, transforming, cataloging, and governing data is a different story, so architects come to me after throwing up their arms searching for solutions to tame the information fabric, thinking they must be missing something: “Isn’t there a single platform?” they ask. Sadly, no. There are only best-of-breed tools or data management platforms… 2019-04-02 16:32:33-04:00 Read the full story. Interest Score: 1.5193, Positive Sentiment: 0.1657, Negative Sentiment 0.1105

Federal CIO Kent Previews Next Steps for AI and Data Policy

e plans to continue increasing automation and making datasets more usable on the civilian side and plans to work with agencies to implement newly passed laws, as it teased forthcoming policy data and artificial intelligence priorities for 2019. Deploying more AI across government is a priority for the administration and Congress alike, and its actual implementation will be enabled by making data more accessible and conducting pilots at the agency level, said Federal CIO Suzette Kent at a March 27 event hosted by AFCEA, a non-profit membership association serving the military, government, industry and academia. On … 2019-04-02 14:30:45+00:00 Read the full story. Interest Score: 1.5108, Positive Sentiment: 0.0408, Negative Sentiment 0.1225

Benchmarking Hadoop Performance: On-Premises S3-Compatible Storage Keeps Pace with HDFS

Click to learn more about authors Gary Ogasawara and Tatsuya Kawano. When deploying Hadoop, scaling storage can be difficult and costly because the storage and compute are co-located on the same hardware nodes. By implementing the storage layer using S3-compatible storage software and using an S3 connector instead of HDFS, it’s possible to separate storage and compute and scale storage independently. This provides greater flexibility and cost-ef… 2019-04-05 07:35:48+00:00 Read the full story. Interest Score: 1.5051, Positive Sentiment: 0.2043, Negative Sentiment 0.0968

Intel Capital Bets Big—$117M Investment in 14 Tech Startups

Intel continues to bet big on new technologies, specifically tech startups funded by its venture capital arm, Intel Capital. On April 1 at its annual Intel Capital Global Summit conference here, the company announced that it’s invested $117 million in 14 tech startups. Since its founding in 1991, Intel Capital has invested $12.4 billion in 1,544 companies. The 14 startups all offer disruptive solutions in one of four areas: artificial intelligence, communications, health care and manufacturing. 2019-04-01 00:00:00 Read the full story. Interest Score: 1.5039, Positive Sentiment: 0.3380, Negative Sentiment 0.1352

Microsoft Dynamics 365 Customer Insights is now Generally Available

We are pleased to announce that Dynamics 365 Customer Insights is now generally available! The newest addition to the portfolio of Dynamics 365 AI offerings, Dynamics 365 Customer Insights enables every organization to unify disparate data – be it transactional, observational or behavioral sources – to gain a single view of customers and derive intelligent insights that drive key business processes. A key tenet of every organization’s unique dig… 2019-04-03 00:00:00 Read the full story. Interest Score: 1.5003, Positive Sentiment: 0.4039, Negative Sentiment 0.0000

Why McAfee Is Integrating AI Into Next Gen Security

Machine Learning and Artificial Intelligence (AI) are often over-used terms in a modern cyber-security context, but that doesn’t mean they aren’t useful for helping organizations and vendors to improve. Among the many vendors that have embraced AI is McAfee, which is integrating different capabilities across its portfolio. Beyond the buzzword hype, AI has real value, as well as real potential for both defenders as well as adversaries, acco… 2019-04-01 00:00:00 Read the full story. Interest Score: 1.4988, Positive Sentiment: 0.2498, Negative Sentiment 0.2498

Three Lessons Data Management Can Learn from Meal Delivery Services

Click to learn more about author Lisa Spagnolie. Enterprises today are acutely aware of the exponential growth of data. However, according to a survey by PricewaterhouseCoopers, only 15% of firms currently have access to the right data needed to achieve their goals. In the face of massive data overload, today’s enterprises don’t have time to wait for IT to work through the backlog to make data available, instead they need this data to be accessi… 2019-04-08 07:35:15+00:00 Read the full story. Interest Score: 1.4805, Positive Sentiment: 0.4112, Negative Sentiment 0.1097

Siemens and SAS Partner to Deliver AI-embedded IoT Analytics for Edge and Cloud

g analytics through Siemens’ MindSphere. Users will gain access to industry-leading SAS advanced and predictive analytics in MindSphere, which can accelerate the adoption of machine learning (ML) and artificial intelligence (AI) in Internet of Things (IoT) environments. Increasing productivity and reducing operational risk through powerful predictive and prescriptive maintenance and optimized asset performance management are just some of the ways these new solutions can benefit customers working in a range of industries including manufacturing, healthcare, energy & utilities, smart cities, transportation and automot… 2019-04-05 07:05:43+00:00 Read the full story. Interest Score: 1.4803, Positive Sentiment: 0.4594, Negative Sentiment 0.0000

‘Godfathers of AI’ Receive Turing Award, the Nobel Prize of Computing

The 2018 Turing Award, known as the “Nobel Prize of computing,” has been given to a trio of researchers who laid the foundations for the current boom in artificial intelligence. Yoshua Bengio, Geoffrey Hinton, and Yann LeCun — sometimes called the ‘godfathers of AI’ — have been recognized with the $1 million annual prize for their work developing the AI subfield of deep learning. The techniques the trio developed in the 1990s and 2000s enabled huge breakthroughs in tasks like computer vision and speech recognition. Their work underpins the current proliferation of AI t… 2019-04-02 14:10:26+00:00 Read the full story. Interest Score: 1.4754, Positive Sentiment: 0.5191, Negative Sentiment 0.2186

7 Qualities Your Big Data Visualization Tools Absolutely Must Have and 10 Tools That Have Them

According to a survey by Salesforce, 53% employees say that organizing data for easy viewing takes manual effort. A good data visualization tool should help you take care of that. You could roll out scrolls of data in spreadsheets and charts and reams, but unless there’s a way to crunch the numbers and visualize them in a way that makes more sense, all that data is just a sea of numbers. High quality visualization tools are crucial for your data analytics strategy. Essentially, data visualization tools are software that help present the data in a visual, pictorial format, presenting a wholesome image of the data, to help your team better understand it. Pie charts, graphs, heat maps, histograms and radar/spider charts are just a few of the many creative ways to present data in a nutshell and showcase highlights and trends. Check out this interesting taxonomy from Duke University to see all the various forms of data visualization formats available today to get an idea of how creative you can get with your data visualization. So to make your data analytics truly useful and insightful, you need the right visualization tool. There are plenty of good ones in the market, with different features and prices. We have a list of the best ones at the end of this post. Understandably, choosing the right one for your enterprise is no mean feat and you need to undertake some careful deliberation before choosing the one visualization tool you can bet your money on. 2019-04-07 00:00:00 Read the full story. Interest Score: 1.4709, Positive Sentiment: 0.4388, Negative Sentiment 0.0569

Startup MemVerge Combines Memory, Storage

ted what it calls “memory-converged infrastructure” that eliminates barriers between memory and storage. The platform, which is based on Intel’s Optane DC persistent memory, targets machine learning, data analytics and other data-intensive workloads. Separately, the San Jose-based startup announced a $24.5 million funding round with participation by Gaorong Capital, Jerusalem Venture Partners, LDV Partners, Lightspeed Venture Partners and Northern Light Venture Capital. The Optane-based platform is said to deliver a ten-fold boost in both memory size and data I/O performance, the startup said Tuesday (Apr… 2019-04-02 00:00:00 Read the full story. Interest Score: 1.4480, Positive Sentiment: 0.0905, Negative Sentiment 0.3318  

Microsoft launches Visual Studio 2019 after focusing on making the popular software development tool easier to use

Developers planning to upgrade to the latest version of Microsoft’s Visual Studio code-writing platform will find a new and improved user interface that the company says will make writing and editing code much easier, as well as a new feature that lets them share code with colleagues. Visual Studio 2019 was announced back in June of last year, and it is now generally available for download. Microsoft also will integrate the Visual Studio Live Share collaboration feature into both Visual Studio 2019 and Visual Studio Code, the open-source version of the commercial product. Both versions of Visual Studio ranked at the top of Stack Overflow’s annual developer tools survey released last year, and Microsoft said that 8.1 million monthly active one-day users are working with the commercial product. Developers at companies and organizations of all sizes use Visual Studio to create and test their code before moving it into their code repositories, which are likely on Microsoft’s GitHub. 2019-04-02 16:00:32-07:00 Read the full story. Interest Score: 1.3549, Positive Sentiment: 0.3635, Negative Sentiment 0.0000

Investors Underestimate Climate Risks: BlackRock

BlackRock Investment Institute reported Thursday that investors are underpricing the effects of climate-related risks, including more frequent and intense extreme weather events, and need to reassess asset vulnerabilities. The report presents new tools and data to show potential climate-related risks for different U.S. asset classes. Working with Rhodium Group, BlackRock leveraged 160 terabytes of data to assess these risks facing specific asset classes at present and under several future climate scenarios reaching out to 2100. Many investors recognize that climate-related risks are growing, and understand the importance of integrating climate-related risk factors in the investment process, according to BlackRock. Until recently, however, most have not had access to data showing the potential effects at the asset level of both direct physical risks and indirect economic impacts. 2019-04-05 00:00:00 Read the full story. Interest Score: 1.3066, Positive Sentiment: 0.0933, Negative Sentiment 0.3500

How Ubisoft Is Mainstreaming Machine Learning Into Game Development

Without a doubt, Game Development is one of the toughest jobs, and for several years, gaming companies have been trying to leverage the superpowers of machine learning (ML). However, game developers are wary of ML and its limited use in games. The question that arises here is AI is already doing a great job in the field of game development, then why should one add machine learning in game development. Over the years, ML has helped many industries reach the height of success, and it has the ability to make a huge impact on the way video games are developed. ML would not only help in developing games but would also help in transforming the experience of gaming — whether it’s about characters, challenges, and content. Therefore, in order to stay relevant to the current trends in the market, game companies across the world are working day in and out to reap benefits ML. 2019-04-08 11:51:35+00:00 Read the full story. Interest Score: 1.2993, Positive Sentiment: 0.2320, Negative Sentiment 0.3016

It’s time for workers to worry about AI

Recent news of significant corporate investments in artificial intelligence (AI) suggests this technology is moving toward mainstream use. Evidence for this includes DocuSign injecting $15 million into an AI contract discovery startup, Apple absorbing an AI camera developer, and CIO reporting that banks are expected to spend $5.6 billion on AI solutions in 2019, “ushering in the next financial revolution.” Indeed, the green shoots of AI are appearing everywhere. Despite a surfeit of ethical concerns, leading AI advocates such as Andrew Ng are encouraging companies to jump into AI use. Many are doing just that. KPMG claims more than half of business executives plan to implement some form of AI within the next 12 months. One of the more common AI discussions is the potential impact on jobs. This impact is probably incalculable, though many try to estimate it. Gartner, for example, believes AI will create more jobs than it destroys between now and 2025. Previous technology revolutions have destroyed jobs but ultimately created new jobs and industries. That pattern has happened repeatedly, and this dynamic has now become conventional wisdom. 2019-04-07 00:00:00 Read the full story. Interest Score: 1.2902, Positive Sentiment: 0.2220, Negative Sentiment 0.3191

How businesses are approaching Python in 2019

In your business, the question of what programming language to use might be a tale as old as time. Everyone has their own preferences and ideas when it comes to languages, so settling on a unified language can be difficult. Especially if your team consists of both new and far more experienced employees. Of course, there is one easy and very simple answer to what can otherwise be a difficult question: Python. Need convincing? 2019-04-08 04:44:49+00:00 Read the full story. Interest Score: 1.2787, Positive Sentiment: 0.4204, Negative Sentiment 0.1752  

Carlos Escapa, AWS, on Applying Machine Learning To Business Problems

It almost sounds like Carlos Escapa is in agriculture. He talks enthusiastically of low hanging fruit, and much higher-growing fruit, and how the coming harvest will change everything. He even waxes poetic about a new tractor. He’s not, of course, a farmer (though he tells me that his family has been in the past). Carlos Escapa is the global lead for the AI/ML consulting practice at Amazon Web Services. The harvest he’s anticipating are the data coming from the sensors now embedded in everything from toothbrushes to toasters to traffic lights. 2019-04-02 14:45:17+00:00 Read the full story. Interest Score: 1.2676, Positive Sentiment: 0.2084, Negative Sentiment 0.2952

Is your algorithm confident enough?

How to measure uncertainty in neural networks. When machine learning techniques are used in “mission critical” applications, the acceptable margin of error becomes significantly lower. Imagine that your model is driving a car, assisting a doctor or even just interacting directly with an (perhaps easily annoyed) end user. In these cases, you’ll want to ensure that you can be confident in the predictions your model makes before acting on them. 2019-04-07 14:12:19.969000+00:00 Read the full story (Registration Wall). Interest Score: 1.2422, Positive Sentiment: 0.2160, Negative Sentiment 0.3241

Data Quality: The Root of Sound Analysis

Competitive business strategy increasingly relies on data analytics. The core techniques of data analysis are increasingly accessible thanks to commodity Business Intelligence packages, modern open source AI tools, and cloud services. Given this level playing field for software and algorithms, competitive advantage typically lies in the unique data that a business can gather and feed into its analytics pipelines. 2019-04-03 00:00:00 Read the full story. Interest Score: 1.2375, Positive Sentiment: 0.3312, Negative Sentiment 0.2702

The State of Data Management: Challenges, Predictions, and Solutions

The level of sophistication around data has increased quite a bit in the 20 years Ron Agresta has been working with SAS. “Back in the day, it would be no governance, minimal quality, and those capabilities were not well managed. Now the whole segment has shifted,” he said, and it’s much rarer to find companies of any size that don’t grasp the importance of data. “The level of awareness about data within companies is also on a spectrum,” he remark… 2019-04-02 07:35:22+00:00 Read the full story. Interest Score: 1.2225, Positive Sentiment: 0.2821, Negative Sentiment 0.2727

JPMorgan’s Dimon apprehensive of China’s prowess in AI and fintech

PMorgan Chase chief Jamie Dimon has admitted to being worried about the progress China has made in artificial intelligence and fintech. In his annual letter to shareholders, the big bank boss says he recently sent one of the bank’s senior teams to China to study what’s being achieved there with AI and fintech. “It’s hard not to be both impressed and a little worried about the progress China has made – it made our management team even more motivated to move quickly,” he says. “Suffice it to say, no matter what our current performance is, we cannot rest on our laurels.” 2019-04-05 00:01:00 Read the full story. Interest Score: 1.2189, Positive Sentiment: 0.5851, Negative Sentiment 0.3413  

Intel Data Center Product Blitz Includes 56-Core Xeon Platinum 9200

PHOENIX—Intel has introduced a bevy of products aimed at data center customers, including 2nd-Generation Xeon Scalable processors, Intel Optane DC memory and storage solutions, and software and platform technologies it says are optimized to help companies get more value from their data. Use cases range from cloud computing and network infrastructure to intelligent edge applications. The new chips and related products are designed to support high-… 2019-04-02 00:00:00 Read the full story. Interest Score: 1.2142, Positive Sentiment: 0.2470, Negative Sentiment 0.0823

Nomura Names 2 Chip Stocks to Buy

rokerage firm says cyclical concerns could put pressure on chipmakers in the near term, but that it’s bullish on the pair’s longer-term prospects. Specifically, Nomura expects new technology such as artificial intelligence (AI), autonomous driving, 5G, data centers, and the internet of things (IoT) to drive expanded adoption of semiconductors. Moreover, it predicts chip sales could increase by 7%-9% between 2020 and 2025. The note called out what it sees as Intel’s “dominance” in the self-driving car and AI spaces, which will be a main driver for the company’s long-term growth. INTC shares are up 1.5% this morning… 2019-04-03 00:00:00 Read the full story. Interest Score: 1.1921, Positive Sentiment: 0.1987, Negative Sentiment 0.0662

Here’s What Doug Cutting Says Is Hadoop’s Biggest Contribution

Apache Hadoop isn’t the center of attention in the IT world anymore, and much of the hype has dissipated (or at least regrouped behind AI). But the open source software project still has a place for on-premise workloads, according to Hadoop co-creator Doug Cutting, who says Hadoop will be remembered most of all for a single contribution it made to IT. At last week’s Strata Data Conference in San Francisco, Cutting shared some time with Datanami … 2019-04-01 00:00:00 Read the full story. Interest Score: 1.1874, Positive Sentiment: 0.2326, Negative Sentiment 0.1959

A Simple CNN: Multi Image Classifier

Computer vision and neural networks are the hot new IT of machine learning techniques. With advances of neural networks and an ability to read images as pixel density numbers, numerous companies are relying on this technique for more data. For example, speed camera uses computer vision to take pictures of license plate of cars who are going above the speeding limit and match the license plate number with their known database to send the ticket to. Although this is more related to Object Character Recognition than Image Classification, both uses computer vision and neural networks as a base to work. A more realistic example of image classification would be Facebook tagging algorithm. When you upload an album with people in them and tag them in Facebook, the tag algorithm breaks down the person’s picture pixel location and store it in the database. Because each picture has its own unique pixel location, it is relatively easy for the algorithm to realize who is who based on previous pictures located in the database. Of course the algorithm can make mistake from time to time, but the more you correct it, the better it will be at identifying your friends and automatically tag them for you when you upload. However, the Facebook tag algorithm is built with artificial intelligence in mind. This means that the tagging algorithm is capable of learning based on our input and make better classifications in the future. 2019-04-07 20:48:23.420000+00:00 Read the full story. Interest Score: 1.1742, Positive Sentiment: 0.1566, Negative Sentiment 0.2348

Oracle’s Customers Can Benefit If Its Application Maintenance Stream Starts To Dry Up

Oracle customers should renegotiate their commercial relationships with this important vendor, using adoption of Oracle’s SaaS products as an incentive and cancellation of maintenance as a credible threat. Oracle’s SaaS strategy seeks to pull customers forward, but it has also undermined the value of its maintenance offering for its legacy on-premises products. Both factors increase customers’ negotiation leverage. Oracle is determined to increa… 2019-04-03 11:38:42-04:00 Read the full story. Interest Score: 1.1684, Positive Sentiment: 0.1618, Negative Sentiment 0.2517

Intel Builds Analytics, Database Use Cases for Optane

Intel offered a list of use cases for its Optane DC persistent memory technology during a company event this week, including Twitter’s effort to scale its Hadoop clusters using Optane and SAP HANA’s database improvements focused on applications like machine learning and predictive analytics. The chip maker (NASDAQ: INTC) highlighted those and other datacenter implementations to bolster its assertion that persistent memory is a game-changer. “We’… 2019-04-04 00:00:00 Read the full story. Interest Score: 1.1297, Positive Sentiment: 0.1228, Negative Sentiment 0.5403

Microsoft executives meet each week to review A.I. projects

Every week — generally on Thursdays — MIcrosoft CEO Satya Nadella and his top lieutenants convene to discuss the company’s growing number of artificial intelligence projects. Known as AI 365, the meetings started over a year ago and reflect Microsoft’s increased emphasis on AI across the product portfolio, Chief Technology Officer Kevin Scott told CNBC in a recent interview. The meetings are in addition to the longstanding gathering of the senior leadership team each Friday. “When there’s friction and obstacles and inefficiencies in the system, people can raise their hands and say, ‘I can’t do this thing,’” Scott said. Having all the highest-ranking executives in the room at the same time means Microsoft can resolve those issues quickly, he said. 2019-04-07 00:00:00 Read the full story. Interest Score: 1.1249, Positive Sentiment: 0.2250, Negative Sentiment 0.2812

Intel Pushes Back at its Competition with Cascade Lake Xeons

Intel’s rollout of the latest generation of its Xeon server processors at a time when its dominant position in the data center is being challenged like it hasn’t in more than a decade. At an event April 2 in San Francisco, Intel officials announced the much-anticipated launch its “Cascade Lake” processors, the first of two releases of 14-nanometer silicon due from the giant chip maker last year as it prepares for the arrival of its 10nm processo… 2019-04-02 00:00:00 Read the full story. Interest Score: 1.1116, Positive Sentiment: 0.2741, Negative Sentiment 0.0914

Aruba Announces Two New Offerings to Simplify IoT

Aruba, a Hewlett Packard Enterprise company, is releasing two new offerings to help enterprise customers simplify the adoption of IoT. First, Aruba ClearPass Device Insight delivers a single pane of glass for device visibility employing automated device discovery, machine learning (ML) based fingerprinting, and identification. Additionally, Aruba introduced the Aruba 530 and 550 Series access points, an extension to the industry’s most advanced… 2019-04-02 00:00:00 Read the full story. Interest Score: 1.1058, Positive Sentiment: 0.1580, Negative Sentiment 0.0790

Data Analytics Helps Property Management Companies Join The 21st Century

A growing number of property management companies around the world are recognizing the benefits of data analytics. Analytics is a necessary element of any digital marketing strategy. Analyzing data patterns and trends is key to ensuring a company reaches the right customers and targets people in the right way. The property industry is one of the best examples of an industry that is using data analytics to its advantage. These companies have found it has led to much more effective marketing strategies that h… 2019-04-05 20:39:39+00:00 Read the full story. Interest Score: 1.1021, Positive Sentiment: 0.2474, Negative Sentiment 0.0225

Nike Is Building a Massive Digital Advantage — The Motley Fool

One of the impressive things about the performance of Nike (NYSE:NKE) in the third quarter of 2019 was the acceleration in footwear sales compared with the year-ago quarter. It’s not easy for a company of Nike’s size — one that does $24 billion in footwear sales in a year — to accelerate sales growth from 2% in the year-ago quarter to 13% in the last quarter (excluding currency changes). During the fiscal third-quarter conference call, managem… 2019-04-07 00:00:00 Read the full story. Interest Score: 1.0957, Positive Sentiment: 0.6331, Negative Sentiment 0.0487

Nike is building a massive digital advantage

One of the impressive things about the performance of Nike (NYSE:NKE) in the third quarter of 2019 was the acceleration in footwear sales compared with the year-ago quarter. It’s not easy for a company of Nike’s size — one that does $24 billion in footwear sales in a year — to accelerate sales growth from 2% in the year-ago quarter to 13% in the last quarter (excluding currency changes). During the fiscal third-quarter conference call, managem… 2019-04-08 05:20:16+01:00 Read the full story. Interest Score: 1.0890, Positive Sentiment: 0.6024, Negative Sentiment 0.0463

Leveraging Technology to Accelerate Investment in Clean Energy

By Thomas Byrne/ CleanCapital Renewable energy is at a ‘hockey stick’ moment for worldwide growth. Bloomberg New Energy Finance projects that $11.5 trillion will be invested in new power generation capacity between 2018 and 2050, with $8.4 trillion of that going to wind and solar and another $1.5 trillion to other zero-carbon technologies like hydro and nuclear. Why are investors so bullish on renewable energy? Clean energy sources will make up… 2019-04-04 17:01:01+00:00 Read the full story. Interest Score: 1.0849, Positive Sentiment: 0.4115, Negative Sentiment 0.1122

Top 10 Enterprise Resource Planning Software Providers

The complexities of running a business with enterprise resource planning software aren’t lost on today’s executives. But ERP is at the center of everything a company does. It tackles the core tasks of managing and integrating core business processes in real-time. The enterprise software typically addresses project management, scheduling, procurement, production, sales, order management, distribution, billing, shipping, logistics, and supply chain… 2019-04-04 00:00:00 Read the full story. Interest Score: 1.0832, Positive Sentiment: 0.1816, Negative Sentiment 0.0908

Nike Is Building A Massive Digital Advantage

One of the impressive things about the performance of Nike (NYSE:NKE) in the third quarter of 2019 was the acceleration in footwear sales compared with the year-ago quarter. It’s not easy for a company of Nike’s size — one that does $24 billion in footwear sales in a year — to accelerate sales growth from 2% in the year-ago quarter to 13% in the last quarter (excluding currency changes). During the fiscal third-quarter conference call, managem… 2019-04-07 23:48:52-04:00 Read the full story. Interest Score: 1.0787, Positive Sentiment: 0.5967, Negative Sentiment 0.0459

Slovenia To Set Up Europe’s First International AI Research Centre

Slovenia this week announced its plans, to set up Europe’s first international artificial intelligence research centre, which will have the official support of the UNESCO. At the gala celebration of the 70th anniversary of Jožef Stefan Institute (JSI), Slovenia’s leading scientific research establishment, Slovenian Prime Minster Marjan Šarec announced that the Department of Intelligent Systems at the JSI in Ljubljana will be converted into a centre that focuses on the governance and policies surr… 2019-04-08 08:33:18+00:00 Read the full story. Interest Score: 1.0692, Positive Sentiment: 0.1125, Negative Sentiment 0.0000

Enterprise Data World 2019: Gorillas, Puzzles, Courtrooms, and Hats

“Context: Better understanding something by taking into account the things around it,” said Jeff Jonas during his Wednesday afternoon keynote at the 23rd annual Enterprise Data World (EDW) 2019 Conference (co-presented with DAMA International) from March 17-22, 2019 at the Sheraton Boston Hotel in Boston, MA. Context is the key that allows data professionals, and our business colleagues, to understand the world around us. Whether that world is w… 2019-04-04 07:35:15+00:00 Read the full story. Interest Score: 1.0676, Positive Sentiment: 0.2333, Negative Sentiment 0.2192

Women Learning to Code Earlier in Life, Picking Up Critical Languages

According to a new study from HackerRank, women are learning to code earlier in life than previous generations. They’re also focusing on languages employers want. Some 55.71 percent of women over the age of 24 learned to code in their late teens. Compare that to women under the age of 21, 69.77 percent of whom learned to code in their late teens. Among women over age 24, some 17.59 percent learned to code when they were under 15, compared to 29…. 2019-04-04 00:00:00 Read the full story. Interest Score: 1.0647, Positive Sentiment: 0.1278, Negative Sentiment 0.1704

How AI Can Power Business Intelligence to Deliver Better Insights

entists who can connect the dots and bring forth insight from a mashup of unstructured and structured data are a rarity in today’s world. Many businesses are looking to supplement the capabilities of data science pros using the latest technologies available, such as analytics platforms empowered with artificial intelligence (AI) and machine learning. One such business is Japanese aviation manufacturer AeroEdge, which was faced with critical engineering and manufacturing challenges that could only be addressed by garnering a better understanding of data. The Ashikaga Tochigi, Japan-based company was found… 2019-04-04 00:00:00 Read the full story. Interest Score: 1.0497, Positive Sentiment: 0.3499, Negative Sentiment 0.3266

Why This Spreadsheet Interface for Cloud DWs Is Turning Heads

There’s often no escape from complexity in big data analytics. For better or for worse, it’s just part of the game. But at the same time, there are places where a simpler approach to complex problems can yield positive results. The new spreadsheet-style user interface for cloud data warehouses from Sigma Computing just might be one of those cases. Sigma Computing emerged last fall with a new product that essentially delivers an Excel-style interf… 2019-04-02 00:00:00 Read the full story. Interest Score: 1.0454, Positive Sentiment: 0.1517, Negative Sentiment 0.1855  

IBM CEO: A.I. Will Impact Jobs Within 5 to 10 Years

IBM CEO Ginni Rometty believes that A.I. will change the workforce (and jobs) much sooner than you might think. “I expect AI to change 100 percent of jobs within the next five to 10 years,” Rometty recently told the audience at CNBC’s At Work Talent & HR: Building the Workforce of the Future Conference in New York City, adding: “To get ready for this paradigm shift companies have to focus on three things: retraining, hiring workers that don’t necessarily have a four-year college degree and rethinking how their pool of recruits may fit new job roles.” Rometty also suggested that A.I. will impact every industry. This echoes comments she made earlier this year at the World Economic Forum in Davos, Switzerland, in which she said that “new technologies” risked disenfranchising “a large part of society.” 2019-04-04 00:00:00 Read the full story. Interest Score: 1.0379, Positive Sentiment: 0.1597, Negative Sentiment 0.1597

AnacondaCON 2019 Day 1 Recap: Big-Time Learning

AnacondaCON 2019 is off to a great start. As in past years, we programmed Day 1 with product- and package-specific tutorials for those looking to get hands-on learning with Anaconda Enterprise tools. Spots in these tutorials were in high demand, with only 100 seats per session to enable closer, more one-on-one instruction. If you weren’t able to join us, here’s a peek at what you missed. Introduction to Machine Learning (ML) with SciKit Learn The always dynamic Albert DeFusco, Training Manager at Anaconda, presented a foundational exploration of the machine-learning process and the advantages of using SciKit Learn. DeFusco emphasized how to decide which model to use and why, and what kinds of insights can be gained from predictive statistical analysis. Practical Data Science and ML with Graphics Processing Units (GPUs) The other morning tutorial was led by Stan Seibert, Senior Director of Community Innovation at Anaconda, who outlined how data scientists can use Anaconda for GPU-accelerated deep learning from beginning to end. Each attendee was provided with a Tesla P100 cloud GPU to experiment with as Seibert walked them through how to prepare their data, then moved into how to create and train new deep learning models, how to evaluate and improve those models, and ultimately how to prepare the selected model for deployment. 2019-04-04 17:38:11+00:00 Read the full story. Interest Score: 1.0322, Positive Sentiment: 0.4367, Negative Sentiment 0.0397

Big Data Has Transformed The Web Hosting Market On Both Ends

Cloud technology has had a profound impact on the web hosting profession. It is driven largely by advances in big data. Since big data has revolutionized the web hosting industry, a myriad of new hosting options are available. How is Big Data Affecting the Future of Big Data? The sudden emergence of big data is changing the nature of web hosting in two significant ways: Companies need more extensive hosting solutions to ensure they have adequa… 2019-04-02 18:51:08+00:00 Read the full story. Interest Score: 1.0240, Positive Sentiment: 0.2894, Negative Sentiment 0.1113

Kabbage raises a record $700 million in debt for its SMB loans platform

Loan platform Kabbage — which offers quick assessment and approvals for small business loans using machine learning algorithms that pull data from dozens of sources — has closed another large securitization as it continues to grow its operations. The company said has closed an asset-backed securitization of $700 million, which it says it the largest transaction of its kind for an online lending platform focused on small businesses. Valued at over $1.2 billion after raising a big round from Softbank in 2017, t… 2019-04-08 00:00:00 Read the full story. Interest Score: 1.0238, Positive Sentiment: 0.1463, Negative Sentiment 0.0731

Here’s why Seattle is the country’s top emerging life sciences market

Seattle is the top emerging life sciences hub in the U.S., according to a recent report from commercial real estate firm CBRE. That’s welcome news for an industry that has faced its share of ups and downs in the past decade. “This is a cluster that is over 20 years old and it’s really maturing in a tremendous way,” said Leslie Alexandre, president and CEO of Life Science Washington, a trade group. “We have lots more companies than we did previou… 2019-04-04 16:26:28-07:00 Read the full story. Interest Score: 1.0192, Positive Sentiment: 0.2912, Negative Sentiment 0.0000

SAP’s Cloud Business Head Exits

Business software-maker SAP (SAP – Get Report) disclosed that Robert Enslin, who headed the German company’s cloud business, is leaving. Enslin, an executive board member and president of SAP’s cloud business group, was with the company since 1992. He quit to pursue work elsewhere, according to statement from SAP. “As I leave SAP for a new journey, I do so with unrivaled respect for the company and its amazing customers around the world,” said … 2019-04-07 12:49:12-04:00 Read the full story. Interest Score: 1.0161, Positive Sentiment: 0.0000, Negative Sentiment 0.2540

Salesforce backs a start-up that uses selfies and A.I. to verify your identity online

ication start-up Onfido says it’s raised $50 million from investors including Salesforce and Microsoft. The firm’s software validates a person’s identity by taking their selfie and applying a mix of machine learning and human fraud experts to match their face with a government-issued ID. Its latest round of funding, announced Wednesday, was led by Salesforce’s venture capital arm and Japanese financial group SBI, with additional backing from Microsoft’s venture unit and others. Husayn Kassai, co-founder and CEO of Onfido, told CNBC that the company would use the fresh capital to “continue to invest in the … 2019-04-03 00:00:00 Read the full story. Interest Score: 1.0123, Positive Sentiment: 0.0723, Negative Sentiment 0.1446  

Why Intel expects dumb IoT devices to get smarter and smarter

The internet of things (IoT) will probably generate the mother of all data tsunamis. Softbank anticipates we’ll see a trillion connected devices that will create $11 trillion in value by 2025. Intel is pretty happy about that, as it will create a huge demand for a data-centric world with lots of processors at both the center and the edge of the network. Jonathan Ballon, general manager of Intel’s IoT group, spoke about IoT demand at this week’s … 2019-04-07 00:00:00 Read the full story. Interest Score: 1.0088, Positive Sentiment: 0.2162, Negative Sentiment 0.0360

MapR to Autoscale Spark and Drill Via Prebuilt Kubernetes Containers

MapR Technologies today announced a technology preview of pre-built containers for Kubernetes that will give customers new capabilities for dynamically scaling their containerized Spark and Drill applications based on demand. MapR Technologies got into the Kubernetes game last year when it launched the K8S storage driver, which allowed containerized applications running in Kubernetes to access and store data on the MapR data platform. That stora… 2019-04-02 00:00:00 Read the full story. Interest Score: 0.9947, Positive Sentiment: 0.0847, Negative Sentiment 0.0212  

I Fear Ghosts and Facebook: Is There a Way to Stay Safe and Secure Our Data?

When you were a kid, you used to hide under the sheets every time you were awakened by some noise during the night. Then, your fears evolved… you were no longer afraid of ghosts, you were afraid of hackers. You covered your laptop’s camera with tape to avoid being spied upon in your room. You downloaded every antivirus update and tried to come up with extremely intricate passwords – which you usually forgot. And then Cambridge Analytica happened,… 2019-04-03 11:00:00+00:00 Read the full story. Interest Score: 0.9845, Positive Sentiment: 0.1531, Negative Sentiment 0.2844

AnacondaCON 2019 Day 2 Recap: AI in Medicine, Cataloging the Contents of Stars, and More!

What You Missed at AnacondaCON Day 2 We’re back with a recap of Day 2 of our annual AnacondaCON. (In case you missed it, you can read our Day 1 recap here). Things started off on an exciting note with an Opening Keynote by Scott Collison, CEO of Anaconda, announcing the new PyCharm for Anaconda. This new partnership will bring JetBrains’ Integrated Development Environment (IDE) and notebook capabilities into Anaconda Enterprise, empowering Pyth… 2019-04-05 16:12:42+00:00 Read the full story. Interest Score: 0.9737, Positive Sentiment: 0.2951, Negative Sentiment 0.2066

Bitglass raises $70 million to monitor and secure employee devices

Bitglass, a Campbell, California-based startup developing a cloud service that helps to protect corporate data, today announced that it’s raised $70 million in series D funding from new investor Quadrille Capital and existing investors FutureFund, New Enterprise Associates, Norwest, and Singtel Innov8, bringing its total venture capital raised to around $150 million. It follows on the heels of a $25 million series B in 2014 and a $45 million fund… 2019-04-08 00:00:00 Read the full story. Interest Score: 0.9728, Positive Sentiment: 0.0286, Negative Sentiment 0.2289

How to use Jupyter to conduct preliminary data analysis for health sciences

In this tutorial, I will write about a workflow you can use with Jupyter notebooks/Jupyter labs to do data analysis. I will discuss setting up a web-based Jupyter environment to get your work done, and also how you can use R to work with Jupyter notebooks or Jupyter lab. 2019-04-08 00:56:33.605000+00:00 Read the full story (Registration Wall). Interest Score: 0.9466, Positive Sentiment: 0.0856, Negative Sentiment 0.0829

Product Naming with Deep Learning

We do not usually associate artificial intelligence (AI) with creativity. Generally, AI algorithms are used to automatize repetitive tasks or predict new outcomes based on previously seen examples. The creative process can sometimes be repetitive and tedious, too. So, would artificial intelligence be able to provide inspirational thoughts? Let’s take a classic creative marketing example: product naming. The moment a product is pushed out onto the market, the most creative minds of the company come together to generate a number of proposals for product names that must sound familiar to the customers and yet are new and fresh too. Of all those candidates, ultimately only some will survive and be adopted as the new product names. Not an easy task! 2019-04-04 00:00:00 Read the full story. Interest Score: 0.9361, Positive Sentiment: 0.1488, Negative Sentiment 0.0372

A Pod world: How you’d trade your data for services over a decentralized internet

In an era of big data and AI, what are the roles of decentralized internet and data storage concepts? The tensions and contradictions of these parallel developments were unpacked at SXSW in a compelling talk, Designing For the Next 30 Years of the Web, by Justin Bingham (CTO of Janeiro Digital) and John Bruce (Co-founder and CEO of Inrupt). They presented a whole new way of storing data and therefore breaking the current privacy paradigm, and the… 2019-04-07 00:00:00 Read the full story. Interest Score: 0.9015, Positive Sentiment: 0.1803, Negative Sentiment 0.1147

A.I. and Privacy Concerns Get White House to Embrace Global Cooperation

Two hallmarks of American economic policy under President Trump are a reflexive aversion for regulation and go-it-alone nationalism. But in technology policy, that stance is changing. In September, the Trump administration abandoned its hands-off approach and began working closely with the 36-nation Organization for Economic Cooperation and Development to create international guidelines for the design and use of artificial intelligence. The administration has also started to discuss a new law to protect privacy in the digital age, seeking consensus domestically and common ground internationally. It has fielded more than 200 public-comment filings from advocacy groups, corporations and individuals. “There is a real desire in the United States to see leadership at the federal level,” said David Redl, a senior Commerce Department official helping to guide the administration’s privacy effort. 2019-04-03 00:00:00 Read the full story. Interest Score: 0.8840, Positive Sentiment: 0.1105, Negative Sentiment 0.1105

ProBeat: Microsoft admits AI and data aren’t enough for Windows 10 feature updates

On October 2, Microsoft started rolling out the Windows 10 October 2018 Update. On October 6, the company halted the October 2018 Update after some users reported it deleted files from their Documents folder. This week, Microsoft finally outlined what it learned and what it’s changing to make sure this doesn’t happen again. The company has admitted its AI chops, telemetry data, and overall process can’t be trusted alone, so it’s giving control ba… 2019-04-05 00:00:00 Read the full story. Interest Score: 0.8744, Positive Sentiment: 0.2981, Negative Sentiment 0.3378

Understanding The Nuances of Instagram Data Transparency Policies

Big data has improved transparency of social media sites. You can now download your personal data from them, which allows you to see what records are retained. Data on your photos, videos, comments, profile details and connections can be stored. Although users can get access to their data, there are still some things that social media networks need to do better. This was covered in an article by the Inde… 2019-04-01 17:05:35+00:00 Read the full story. Interest Score: 0.8730, Positive Sentiment: 0.1838, Negative Sentiment 0.0689

The team behind Baidu’s first smart speaker is now using AI to make films

The team behind Baidu’s first smart speaker is now using AI to make films The HBO sci-fi blockbuster Westworld has been an inspiring look into what humanlike robots can do for us in the meatspace. While current technologies are not quite advanced enough to make Westworld a reality, startups are attempting to replicate the sort of human-robot interaction it presents in virtual space. Rct studio, which just graduated from Y Combinator and ranked … 2019-04-07 00:00:00 Read the full story. Interest Score: 0.8598, Positive Sentiment: 0.1984, Negative Sentiment 0.0992

Thousands of fake vitamin and child safety product reviews found on Amazon

Out of nearly 3,000 vitamins for sale on Amazon’s website, 30pc were found to be fake and or unreliable, found Fakespot, a company that uses artificial intelligence to find fake reviews. It also found that 23pc of reviews for 362 different children’s car seats for sale on Amazon were fake and or unreliable. Fakespot said a significant quantity of reviews for other children’s safety devices such as cabinet locks, edge guards and stair gates were questionable. Products with fake reviews include some of the most prominent and highly rated items, according to the research…. 2019-04-07 00:00:00 Read the full story. Interest Score: 0.8451, Positive Sentiment: 0.0000, Negative Sentiment 0.4225

The 3 Lies Stopping You From Learning To Code

You see, when you’re a “normal person” (read: not super smart) and also happen to be a successful software engineer — a lot of people ask you what your deal is. With a degree in Economics, a life in software engineering wasn’t quite what I was expecting. I simply took the least bad option in my career, right up until the point where people were paying money to code. With that kind of background, it’s no wonder I’m such a massive evangelist that… 2019-04-08 09:31:00.805000+00:00 Read the full story. Interest Score: 0.8335, Positive Sentiment: 0.2137, Negative Sentiment 0.1496

Five Industries Already Channeling Autonomous Enterprise of Future

From the boardroom to the data center, forward-looking companies in every industry are looking for ways to bring people and technology together to match intelligence with automation. This is the vision of the autonomous enterprise. Demand for pervasive, always-on connectivity to service myriad applications, users, sensors and devices is driving unprecedented change in the networks that underpin everything. The network is no longer a binary utili… 2019-04-07 00:00:00 Read the full story. Interest Score: 0.7987, Positive Sentiment: 0.1830, Negative Sentiment 0.1165

How Neural Networks Are Helping Designers Find The Right Stock Image

Image recognition is used in numerous applications across verticals. And one of the most prominent users for them are stock websites. Shutterstock is the most prominent example of this, that adopted artificial intelligence in their operations late last year. Their new feature known as Shutterstock Showcase heavily uses AI to perform a variety of tasks that function on the basis of image analysis. To understand how image recognition can be applied to this field, we must first look into how image recognition on the website functions. A Unique Solution For A Unique Problem At its heart, image recognition is applyin… 2019-04-08 10:04:52+00:00 Read the full story. Interest Score: 0.7910, Positive Sentiment: 0.2290, Negative Sentiment 0.0833

Predicting the likelihood of a customer to make repeat purchases using logistic regression

Predicting the likelihood of a customer to make repeat purchases using logistic regression Emmanuel Sibanda Blocked Unblock Follow Following Apr 4 Source: Furaffinity For a business, getting a customer is exciting, not only because it helps you ‘secure the bag’ by bringing in much needed revenue, but it also creates an opportunity to create loyalty with this newfound customer which in turn could help you ‘secure more bags’ through repeat purchase… 2019-04-04 19:41:01.433000+00:00 Read the full story. Interest Score: 0.7872, Positive Sentiment: 0.0764, Negative Sentiment 0.1704

Why Aruba Wants to Help Enterprises Adopt IoT

LAS VEGAS—Aruba Networks officials are looking to give enterprises the tools to manage the growth of the internet of things and the impact it is having on those businesses. At its Atmosphere 2019 user conference here April 2, Aruba—which essentially has become the networking and edge arm of parent Hewlett Packard Enterprise—unveiled a pair of new products designed to help customers get a better gauge on the devices that are access the network, e… 2019-04-02 00:00:00 Read the full story. Interest Score: 0.7585, Positive Sentiment: 0.2231, Negative Sentiment 0.1487

New Briefing Paper From European Court of Auditors Outlines Cybersecurity Challenges Facing Europe

As part of a broader mission of making Europe the world’s safest digital environment, the European Court of Auditors (ECA) has released a comprehensive, 74-page report (“Challenges to Effective EU Cybersecurity Policy”) detailing the cybersecurity challenges facing the European Union in 2019 and beyond. The report was based on a review of position papers, official policy documents, studies by third parties, and actual field work examining the cyb… 2019-04-04 22:00:00+00:00 Read the full story. Interest Score: 0.7551, Positive Sentiment: 0.1710, Negative Sentiment 0.6269

Facebook User Info Exposed in Misconfigured Public Cloud Storage

Once again, Facebook users are being warned about a data leak that could potentially expose them to risk, as over 540 million data records from the social network have been found publicly exposed in the cloud. The impact of the data disclosure is however being debated by one of the vendors that has been implicated in the data leak. The disclosure was made on April 3 by security firm UpGuard Cyber Risk, which has a history of discovering and disc… 2019-04-04 00:00:00 Read the full story. Interest Score: 0.7530, Positive Sentiment: 0.1107, Negative Sentiment 0.3322

Get a Basic Primer on Machine Learning at Data Summit 2019

Machine learning is the next great frontier in big data. AI is set to revolutionize everything from how we interact with each other to how we work. There are many ways to implement ML projects, but not all of them work out as planned. That’s why Vadim Nareyko, CEO, EnCata Soft will be giving a primer on Machine learning during his Data Summit 2019 presentation, “The Five Biggest Mistakes in Machine Learning.” T… 2019-04-01 00:00:00 Read the full story. Interest Score: 0.7333, Positive Sentiment: 0.1375, Negative Sentiment 0.3208

Why community is at the heart of every tech hub

When people think of technology, they often think in general terms like “the cloud” or “artificial intelligence.” But technology is physical. It is cables and servers and the mobile device in your pocket. Technology is also human. I don’t mean this in some philosophical sense. I mean that the physical components that make up technology are built by human beings. And human beings vary, as do the communities in which they live. Technology may be flattening the world, but we are still in many ways reflectio… 2019-04-07 00:00:00 Read the full story. Interest Score: 0.7280, Positive Sentiment: 0.2600, Negative Sentiment 0.0000

Meet Marvell Technology’s Next Big Catalyst — The Motley Fool

Marvell Technology Group (NASDAQ:MRVL) had already warned investors that it would be witnessing near-term pains thanks to weak demand for its chips across the storage and networking businesses. This was clearly evident in its fourth-quarter results, with Marvell meeting expectations that were already scaled down to accommodate the guidance warning issued in February. Additionally, the company’s tepid forecast for the current quarter set alarm be… 2019-04-08 00:00:00 Read the full story. Interest Score: 0.7232, Positive Sentiment: 0.4018, Negative Sentiment 0.0603

Noise Pollution Abatement and AI Soundscape Deep Learning: The Case of AI Self-Driving Cars

t corner at New York Times Square, I was surrounded by the epic and at times overwhelming sounds of New York City (NYC). I had come to the city that never sleeps to speak at an industry conference on Artificial Intelligence (AI). Opting to walk from my hotel to the conference location, I couldn’t help but hear the nefarious noises of this hustling and bustling famous town. Bang, bam, honk, honk, whoosh, woot, bang, and so on, there was a cacophony of noises coming at me, drowning me in a sea of diverse and often bone-rattling sounds. NYC has a lot of claim to fame, and one of those claims is that it is the noisiest… 2019-04-02 14:20:11+00:00 Read the full story. Interest Score: 0.7182, Positive Sentiment: 0.1031, Negative Sentiment 0.2248

Top 5 Applications of GANs in the Deep Learning Industry

Introduction Can you guess what’s common among all the faces in this image? None of these people are real! These faces were generated by a computer vision technique called GANs, or Generative Adversarial Networks. Full marks to you if you guessed it correctly! The term ‘GAN’ was introduced by the Ian Goodfellow in 2014 but the concept has been around since as far back as 1990 (pioneered by Jürgen Schmidhuber). But it was only after Goodfellow’… 2019-04-08 04:36:43+00:00 Read the full story. Interest Score: 0.7177, Positive Sentiment: 0.1518, Negative Sentiment 0.2208

This tech tells cities when floods are coming–and what they will destroy

Several years ago, one of the eventual founders of One Concern nearly died in a tragic flood. Today, the company specializes in using artificial intelligence to predict how natural disasters are unfolding in real time on a city-block-level basis, in order to help disaster responders save as many lives as possible. As Fast Company wrote in November 2018: “In 2014, Stanford student structural engineer Ahmad Wani was visiting family in his native Kashmir when a catastrophic flood struck. The rising waters stranded him and his family for seven days without food or water, during which they watched their neighbor’s home collapse, killing everyone inside. After this horrifying experience, Wani was struck by just how disorganized the emergency response was. “There is no science behind how people should be rescued,” he says. “Disaster response is really random.” To fix that, One Concern debuted Flood Concern in late 2018. It creates map-based visualizations of where water surges may hit hardest, up to five days ahead of an impending storm. For cities, that includes not just time-lapse breakdowns of how the water will rise, how fast it could move, and what direction it will be flowing, but also what structures will get swamped or washed away, and how differing mitigation efforts–from levy building to dam releases–will impact each scenario. It’s the winner of Fast Company’s 2019 World Changing Ideas Awards in the AI and Data category. 2019-04-08 06:00:51 Read the full story. Interest Score: 0.7166, Positive Sentiment: 0.0717, Negative Sentiment 0.8599

5G and the Future of Cybersecurity

Sign up to see when 5G is coming to you! Just as 4G networks led to the ubiquity of the smartphone and other smart devices, 5G networks will lead to the rise of billions of new devices connected to the Internet, all talking with one another at incredibly fast speeds with remarkably low latency. This will open up vast new possibilities for consumers, businesses and society as a whole – everything from self-driving cars on the road to the ability … 2019-04-04 11:00:00+00:00 Read the full story. Interest Score: 0.7144, Positive Sentiment: 0.2836, Negative Sentiment 0.2311

Top AI researchers call on Amazon to stop selling facial recognition technology to law enforcement

A group of artificial intelligence researchers — including this year’s winner of the Turing Award — issued a joint statement Wednesday calling on Amazon Web Services to stop all sales of its Recokgnition facial-recognition technology to law enforcement agencies. In a letter posted to Medium, the researchers detailed flaws in earlier responses from AWS to critics that issued similar calls after Rekognition was used by police depar… 2019-04-03 17:31:20-07:00 Read the full story. Interest Score: 0.7136, Positive Sentiment: 0.0931, Negative Sentiment 0.4654

‘We Should Be a Lot Further Along Than We Are’ Says Former DOD No. 2 of AI

The Pentagon has recently made a huge push into adopting operationalized artificial intelligence for military applications. But according to former Deputy Secretary of Defense Bob Work, the U.S. military is in grave danger of falling behind the Chinese in the race to develop AI and losing its competitive advantage if it doesn’t go all-in. “I can’t shake the nagging feeling … that we should be a lot further along than we are and we’re losing ground to our competitors,” said Work, now a distinguished senior fellow for defense and national security at the bipartisan Center for a New American Security. 2019-04-05 14:45:36+00:00 Read the full story. Interest Score: 0.7123, Positive Sentiment: 0.2528, Negative Sentiment 0.3906

Tesla Sales May Improve In Norway As Majority Of Cars Sold Were EVs

Whitney Tilson’s email to investors discussing his skepticism on Tesla‘s stock and electric cars sold in Norway. 1) In my email today to my entire investing email list, I included this: Get The Full Series in PDF Get the entire 10-part series on Charlie Munger in PDF. Save it to your desktop, read it on your tablet, or email to your colleagues. Q4 hedge fund letters, conference, scoops etc 3) Whatever you may think of TSLA the stock (and my s… 2019-04-04 03:08:57+00:00 Read the full story. Interest Score: 0.7050, Positive Sentiment: 0.1085, Negative Sentiment 0.0813  
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