AI & Machine Learning News. 01, April 2019

Boston Dynamics’ robotic ostrich can ‘handle’ warehouse box-stacking tasks

Boston Dynamics’ latest robo-creature may be cuter than its creepy robot dogs, but its potential application could nevertheless make warehouse workers wary. The Handle robot, demonstrated in a YouTube video posted on Thursday, is a long-necked robot that looks a lot like a two-wheeled mechanical ostrich. The robot’s “head” features an arrangement of suction cups that can pick up boxes from a pallet, and then release them to make a neat stack. 2019-03-29 17:57:40-07:00 Read the full story. Interest Score: 1.2152, Positive Sentiment: 0.0000, Negative Sentiment 0.1960 CloudQuant Thoughs… Boston Dynamics Robots for the win, AGAIN!  

Microsoft Rolls Out Azure “Custom Vision” and “Anomaly Detector” AI Developer Tools

Microsoft has added two new tools to its Azure AI cloud products to give developers the ability to add richer artificial intelligence capabilities to their apps and services for enterprise users. The new tools, Azure Custom Vision and an Anomaly Detector service, were unveiled in a March 26 post on the Azure Blog by Anand Raman, the Azure AI platform product manager at Microsoft. Azure Custom Vision, which is now in general availability from Microsoft, provides automated machine learning to quickly and accurately identify objects within images, wrote Raman, while Anomaly Detector is a new cognitive service that lets developers detect unusual patterns or rare events in their data that could translate to identifying problems like credit card fraud. Anomaly Detector is now available in a preview version. The preview version of Anomaly Detector is used today by more than 200 teams across Azure and other core Microsoft products to boost the reliability of their systems by detecting irregularities in real time and accelerating troubleshooting, wrote Raman. “Through a single API, developers can easily embed anomaly detection capabilities into their applications to ensure high data accuracy and automatically [report] incidents as soon as they happen.” 2019-04-01 00:00:00 Read the full story. Interest Score: 1.4947, Positive Sentiment: 0.2652, Negative Sentiment 0.4581 CloudQuant Thoughts… We have long been a fan of Microsofts Kinect and now that it has moved from a gaming device to an Azure service it can be combined with these new features to add even more power to AI developers.  

How the Bay Area tech IPO boom could create a ‘ripple effect’ in Seattle’s housing market

Ride-hailing company Lyft’s debut as a $24 billion public company on Friday kicked off an IPO frenzy that could echo across the technology landscape and alter housing markets well beyond the San Francisco Bay Area — and Seattle is at the top of the list of areas that could feel the impact. Looking ahead to what could be the biggest IPO bonanza since the dot-com era, experts expect a wealth shock that could jolt the San Francisco Bay Area’s already high-priced housing market. With little available housing supply in the Bay Area, some of that new wealth is expected to trickle out to other parts of the country, as freshly minted millionaires look for greener, and possibly cheaper, pastures, while others are displaced due to the rising cost of living. 2019-03-30 14:00:32-07:00 Read the full story. Interest Score: 0.8779, Positive Sentiment: 0.1235, Negative Sentiment 0.0549 CloudQuant Thoughts… Perhaps you can get in on this coming IPO boom by writing an IPO trading model at  

This free AI reads X-rays as well as doctors

I’ve never read a chest X-ray before. I couldn’t spot pneumonia, an edema, nodules, atelectasis–nor do I know what most of these terms mean without googling them. But if I were to upload my own chest X-ray onto this free website, it could diagnose 14 diseases with 80% accuracy–in other words, about as well as a real radiologist. There’s no co-pay. No prescription. And the consultation is completely private. How could this possibly work? It’s all thanks to open-source AI that runs inside your web browser–or what happens when insurance companies and big pharma stop making the rules of healthcare, and the age of WebMD self-diagnosis is supercharged with machine learning. 2019-04-01 07:21:04 Read the full story. Interest Score: 0.8579, Positive Sentiment: 0.0746, Negative Sentiment 0.0746 CloudQuant Thoughts… We are now clearly at a point where AI can identify problems faster, cheaper and more reliably than professionals with years of experience. In a sector that has seen a doubling in cost in recent years for end users, it is great to see how AI can reverse that trend and bring some healthcare costs back under control.  

NYPD Tracks Crimes Across City with Its Own Pattern-Seeking AI Tool

The details of the crime were uniquely specific: Wielding a hypodermic syringe as a weapon, a man in New York City attempted to steal a power drill from a Home Depot in the Bronx. After police arrested him, they quickly ascertained that he’d done the same thing before, a few weeks earlier at another Home Depot, seven miles away in Manhattan. It wasn’t a detective who linked the two crimes. It was a new technology called Patternizr, an algorithmic machine-learning software that sifts through police data to find patterns and connect similar crimes. Developed by the New York Police Department, Patternizr is the first tool of its kind in the nation (that we know about). It’s been in use by NYPD since December 2016, but its existence was first disclosed by the department this month. 2019-03-29 14:10:01+00:00 Read the full story. Interest Score: 0.8042, Positive Sentiment: 0.0000, Negative Sentiment 0.6283 CloudQuant Thoughts… Criminals have long taken advantage of “crossing the border” to prevent law enforcement from identifying a pattern in their crimes. AI software like this, as long as it is used to bring the similar events to the attention of a trained professional, can only be a huge boost to the reduction of crime. Pre-Crime here we come!  
Below The Fold…

Experimental AI can steal PINs and passwords by listening to finger taps

Keyloggers aren’t the only way malicious hackers can get at your phone or tablet’s passcode. In a preprint paper (“A new acoustic side channel on smartphones“) published on this week, researchers describe a novel attack that recovers characters typed on a virtual keyboard from sounds generated by finger taps. “We found the device’s microphone(s) can recover this wave and ‘hear’ the finger’s touch, and the wave’s distortions are charact… 2019-03-29 00:00:00 Read the full story. Interest Score: 0.7309, Positive Sentiment: 0.1329, Negative Sentiment 0.3101

This Year’s Turing Award Swept Away By Yann LeCun, Geoffrey Hinton & Yoshua Bengio

Considered the Nobel Prize of computing, the prestigious Turing Award for 2018 has been rightfully bagged by Yann LeCun, Geoffrey Hinton & Yoshua Bengio who have been referred to as the Godfathers of AI for having developed some remarkable innovations in the field of artificial intelligence. At a time when the field was doomed and experts feared that ‘AI winter’ might be the final call of the much-talked technology, the trio believed in the potential of AI and brought to the world the innovations such as neural networks, self-driving cars, facial recognition, CNN and much more. In the mid-90s when the community had lost interest in AI and deep learning, the trio worked on bringing newer innovations in the field. 2019-03-27 13:31:51+00:00 Read the full story. Interest Score: 1.9725, Positive Sentiment: 0.4227, Negative Sentiment 0.0352

Turing Award honors a different kind of AI network with ‘Nobel Prize of computing’

BOT or NOT? This special series explores the evolving relationship between humans and machines, examining the ways that robots, artificial intelligence and automation are impacting our work and lives. The three recipients of the Association for Computing Machinery’s 2018 Turing Award, known as the “Nobel Prize of computing,” are sharing the $1 million award for their pioneering work with artificial neural networks — but that’s not all they share. Throughout their careers, the researchers’ career paths and spheres of influence in the field of a… 2019-03-28 17:58:09-07:00 Read the full story. Interest Score: 1.7539, Positive Sentiment: 0.1619, Negative Sentiment 0.0540

Goldman Sachs is exploring plans to create a Netflix for data, and it marks a new frontier for Wall Street

Investors may soon be paying monthly subscription fees to Wall Street banks in much the same way they subscribe to Netflix or Spotify. A recent Goldman Sachs job ad for an entry-level salesperson gives one of the clearest visions yet for what the business model might look like. According to a recent posting on LinkedIn, the company is looking to hire an entry-level salesperson whose job would include selling internal data, analytics and risk models as part of a subscription model. The move comes even as rivals have raised privacy concerns about handling customer data. At some point in the not too distant future, investors may find themselves ponying up monthly subscription fees to Wall Street banks in much the same way they subscribe to Netflix or Spotify. 2019-03-28 00:00:00 Read the full story (PAYWALL). Interest Score: 1.6501, Positive Sentiment: 0.0750, Negative Sentiment 0.1500

10 Steps to Teaching Data Science Well

With the increase in demand for data scientists, there has been a parallel growth in training programs within companies and educational institutions that teach people data science. In addition to focusing on meeting the job demand, there need to be more resources for instructors facilitating data science classrooms. Here’s a list of ten steps for current and prospective data science instructors to make sure they’re creating an optimal learning environment for their students.
  1. Ensure everyone in your class feels comfortable to participate.
  2. Make sure students with no technical background are keeping up.
  3. Be an engaging speaker.
  4. Begin lessons with the answers to your problem sets.
  5. Translate numerical outputs and data visualizations into clear sentences.
  6. Introduce new and/or alternate coding methods in separate cells.
  7. Tie previous lessons to the current one.
  8. Use inclusive datasets.
  9. Use real datasets.
  10. Have fun!
2019-03-31 23:54:47.469000+00:00 Read the full story. Interest Score: 0.9544, Positive Sentiment: 0.1302, Negative Sentiment 0.2386

Five Real-World Tasks one needs to be able to accomplish to be Hired as a Data Analyst – Dataquest

A Dataquest learning path contains several courses. The goal of a path is to help students solve a set of several real-world data analysis tasks and gain the knowledge they need to start data science careers. These may eventually be represented as some sort of capstone projects. Describe 5 real-world tasks that someone needs to be able to accomplish to be hired as a data analyst. These should cover the primary skills that 80% of data analysts need to succeed…
  1. Answer a business question using SQL
  2. Use Python to clean and analyze data exported from an existing system
  3. Automate Reporting
  4. Transform and prepare data to move from one system to another
  5. Analyze data drawn from multiple systems
2019-03-25 21:55:36+00:00 Read the full story. Interest Score: 1.6303, Positive Sentiment: 0.1630, Negative Sentiment 0.1756

Predicting Electricity Demand in LA — outperforming the government

Figure 1. Electricity demand versus time in LA. Note the sinusoidal pattern, with the summer season experiencing more demand because of air conditioning. After the initial cleansing and preparation of the day I performed some exploratory data analysis to look at initial relationships between the independent (weather) and the dependent (electricity) variables. Figure 2 shows the Pearson correlation coefficients and Figure 3 the r² values between … 2019-04-01 13:12:02.158000+00:00 Read the full story. Interest Score: 1.5794, Positive Sentiment: 0.2478, Negative Sentiment 0.1858

Chinese high-security jail puts AI monitors in every cell ‘to make prison breaks impossible’

A prison that houses some of China’s most high-profile criminals is reportedly installing an artificial intelligence network that will be able to recognise and track every inmate around the clock and alert guards if anything seems out of place. The “smart jail” system inside Yancheng prison integrates surveillance cameras and hidden sensors that collect data points into a central “brain,” an AI-powered computer that will generate a daily report on inmates using facial recognition and movement analysis. 2019-04-01 00:00:00 Read the full story. Interest Score: 0.9506, Positive Sentiment: 0.2852, Negative Sentiment 0.1901

Inmates in Finland are training AI as part of prison labor

“Prison labor” is usually associated with physical work, but inmates at two prisons in Finland are doing a new type of labor: classifying data to train artificial intelligence algorithms for a startup. Though the startup in question, Vainu, sees the partnership as a kind of prison reform that teaches valuable skills, other experts say it plays into the exploitative economics of prisoners being required to work for very low wages. Vainu is building a comprehensive database of companies around the world that helps businesses find contractors to work with, says co-founder Tuomas Rasila. For this to work, people need to read through hundreds of thousands of business articles scraped from the internet and label whether, for example, an article is about Apple the tech company or a fruit company that has “apple” in the name. (This labeled data is then used to train an algorithm that manages the database.) 2019-03-28 00:00:00 Read the full story. Interest Score: 0.8122, Positive Sentiment: 0.1511, Negative Sentiment 0.1889

UT Austin Scientists Discover 2 New Planets Using Artificial Intelligence

Astronomers at the University of Texas at Austin, in partnership with Google, have used artificial intelligence to uncover two more hidden planets in the Kepler space telescope archive. Reportedly, this particular technique shows promise for identifying many additional planets that traditional methods could not catch. According to a press statement given out by the University of Texas at Austin, the planets discovered this time were from Kepler’s extended mission, called K2. To find them, the team, led by an undergraduate at UT Austin, Anne Dattilo, created an algorithm that sifts through the data taken by Kepler to ferret out signals that were missed by traditional planet-hunting methods. Long term, the process should help astronomers find many more missed planets hiding in Kepler data. 2019-03-28 10:27:07+00:00 Read the full story. Interest Score: 0.7795, Positive Sentiment: 0.0000, Negative Sentiment 0.1949  

The Agenda of IFINTEC Finance Technologies Conference and Exhibition (09-10 April 2019 – Istanbul, Turkey) is announced on the event website.

The Agenda of IFINTEC Finance Technologies Conference and Exhibition (09-10 April 2019 – Istanbul, Turkey) is announced on the event website. IFINTEC is a global conference which is one of the biggest and most important conferences in EMEA region with its focus on Retail Banking, Digital Banking, Core Banking, Payment Systems, Banking Technologies, Banking IT Solutions, Digital Transformation and Finance Technologies. With 900+ attendees, attenda… 2019-03-27 00:00:00 Read the full story. Interest Score: 2.2222, Positive Sentiment: 0.0601, Negative Sentiment 0.0000

Informatica Unveils Hundreds of New Features and AI Updates

Informatica, a provider of enterprise cloud data management, is introducing more than 150 new features and AI-driven innovations across five key segments in its platform, enabling enterprises to unleash the power of their intelligent data at scale and accelerate their digital transformations. The innovations, built on a unified, modular, and microservices-based platform powered by the Informatica CLAIRE engine, provide enterprise-wide collaborat… 2019-03-27 00:00:00 Read the full story. Interest Score: 2.0539, Positive Sentiment: 0.5601, Negative Sentiment 0.0533

Equifax and FICO Introduce Strategic Partnership to Deliver the Data Decisions Cloud

According to a recent press release, “To increase velocity for deploying predictive models, FICO and Equifax are introducing the Data Decisions Cloud. The new Data Decisions Cloud is an end-to-end data and analytics suite that addresses key needs across risk, marketing, and fraud to enable financial institutions to meet the needs of consumers faster and more precisely than ever before. The Data Decisions Cloud integrates the Equifax Ignite™ platf… 2019-03-29 07:15:46+00:00 Read the full story. Interest Score: 1.9067, Positive Sentiment: 0.4516, Negative Sentiment 0.1505

XebiaLabs DevOps Prediction Engine Uses Machine Learning to Deliver a ‘Weather Forecast’

e risk solution for DevOps that warns teams of delays and risks in the software delivery process. Using a new DevOps Prediction Engine, the XebiaLabs DevOps Platform’s Risk Prediction Module combines machine learning with a proprietary algorithm to give teams a “weather forecast” for their releases before those releases even start to run. It’s hard for DevOps teams to predict factors that will delay releases or cause them to fail—and teams are often surprised by failures after release processes have already started, leaving them scrambling to roll back changes and resolve errors.” 2019-03-29 07:05:00+00:00 Read the full story. Interest Score: 1.7800, Positive Sentiment: 0.0913, Negative Sentiment 0.6846

Unravel Data Creates AI-Powered Solution for Migrating and Managing Workloads in the Cloud

lio of capabilities that help customers plan, migrate, and manage modern data applications running on AWS, Microsoft Azure, and Google Cloud Platform. This release leverages artificial intelligence, machine learning, and predictive analytics to baseline on-premises big data deployments. It can then determine which apps are the best candidates to move to the cloud based on customer defined criteria. Unravel can also help validate the success of a cloud migration and predict capacity based on the customers’ application workloads. “All indications point to a massive shift in data deployments to the cloud,” sai… 2019-03-28 00:00:00 Read the full story. Interest Score: 1.6314, Positive Sentiment: 0.2646, Negative Sentiment 0.0441

60% of Financial Institutions Rate Themselves As Intermediate or Beginner in the Maturity of Their CLM Digital Transformation Strategy

Digital maturity is still a long way off for financial institutions, according to new research by Fenergo, the leading provider of digital Client Lifecycle Management (CLM) software solutions for financial institutions. The findings of Fenergo’s CLM Report, which is the second in a three-part series, showed that fewer than half (40%) of the financial institutions surveyed are advanced in their CLM digital transformation strategy, with departmenta… 2019-03-26 00:00:00 Read the full story. Interest Score: 1.5974, Positive Sentiment: 0.3891, Negative Sentiment 0.1434  

Optimizing the IoT Infrastructure for Enhanced Big Data Performance

The Internet of Things is one of the most groundbreaking trends affecting consumers and businesses all over the world. According to a report by Gartner, the economic impact of all products connected to the IoT willexceed $300 billion by next year. A number of factors are contributing to the proliferation of the IoT. One of the most influential changes is the increasing capacity of big data. Big data is the foundation of the IoT. Smart devices have been incorporated into virtually every sector of the economy. However, these devices would ultimately be useless without the constantly increasing capabilities of big data. The evolving big data infrastructure is going to be essential to the long-term viability of the IoT. 2019-03-28 21:05:32+00:00 Read the full story. Interest Score: 1.5173, Positive Sentiment: 0.2608, Negative Sentiment 0.0237

What Are The Typical Feature Selection Techniques In Machine Learning?

Feature selection is the method of reducing data dimension while doing predictive analysis. One major reason is that machine learning follows the rule of “garbage in-garbage out” and that is why one needs to be very concerned about the data that is being fed to the model. In this article, we will discuss various kinds of feature selection techniques in machine learning (Filter, Wrpper, Embedded) and why they play an important role in machine learning tasks. 2019-04-01 08:12:26+00:00 Read the full story. Interest Score: 1.5101, Positive Sentiment: 0.2026, Negative Sentiment 0.1289  

MIT CSAIL’s machine learning algorithm helps predict patterns in large data streams

Ever heard of the “Britney Spears problem“? Contrary to what it sounds like, it’s got nothing to do with the dalliances of the rich and famous. Rather, it’s a computing puzzle related to data tracking: Precisely tailoring a data-rich service, like a search engine or fiber internet connection, to individual users hypothetically requires tracking every packet sent to and from the service provider, which needless to say isn’t practical. To get around this, most companies leverage algorithms that make guesses about the frequency of data exchanged by hashing it (i.e., divvying it up into pieces). But this necessarily sacrifices nuance — telling patterns that emerge naturally in large data volumes fly under the radar. Luckily, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) believe they’ve devised a viable alternative that relies on machine learning. 2019-03-31 00:00:00 Read the full story. Interest Score: 1.4643, Positive Sentiment: 0.1065, Negative Sentiment 0.1331

10 Books To Learn Hadoop From Scratch

With data being generated at a fast pace, the Hadoop market is set to grow at a rate of 28.9% over a period of 2018-2024 and has become one of the most popular open source projects. Hadoop is at the core of the Big Data revolution. This scalable storage platform is widely used for storing and analysing data. In this article, we list you 10 best books for learning Hadoop from scratch. 2019-04-01 07:38:43+00:00 Read the full story. Interest Score: 1.4157, Positive Sentiment: 0.1361, Negative Sentiment 0.1497

Digital Transformation Could Cut $150bn Of Costs

Participants in capital markets incur approximately $150bn (€133bn) of complexity costs that could be reduced, or nearly eliminated, through digital transformation according to research from Accenture. The consultancy said in a report that while massive investments have been made in trade and post-trade automation, about $150bn of industry costs are “pure” complexity costs that could be reduced significantly, potentially close to zero, through u… 2019-03-29 17:22:00+00:00 Read the full story. Interest Score: 1.4130, Positive Sentiment: 0.2399, Negative Sentiment 0.1333

Data Scientist Guides AI-Driven Customer Engagement at Uber

At AI World Boston in December, 2018, Gu presented a case study on AI-driven customer engagement at Uber, using the launch of Uber Eats email campaigns in Europe as an example. “What strategy works best for getting new eaters?” is the question he posed at the outset. Customer targets are sent email promotions; conversion rates from open to “make an order” are tracked from several rounds in a continuous experiment. Data scientists call it the “multi-armed bandits,” with multiple tests running to find the most profitable action. “We use a scientific approach,” conducting experiments and changing the experiment configurations when collecting the data, he said. 2019-03-26 14:45:12+00:00 Read the full story. Interest Score: 1.3660, Positive Sentiment: 0.2058, Negative Sentiment 0.2620

These Jaw-Dropping Facts Will Change Your Mind About The Internet Of Things

The market for the Internet of Things (IoT) has been slowly developing over the years, and now includes connected devices and automated systems for everything from agricultural equipment to autonomous vehicles. But since the IoT isn’t a single tech product, it can be difficult for investors to understand how it’s benefiting tech companies, and what the potential is for this growing market. So to give some perspective on the IoT, here are a few i… 2019-03-26 21:49:02-04:00 Read the full story. Interest Score: 1.3649, Positive Sentiment: 0.1638, Negative Sentiment 0.0546

A Brief History of Machine Learning

Machine Learning (ML) is an important aspect of modern business and research. It uses algorithms and neural network models to assist computer systems in progressively improving their performance. Machine Learning algorithms automatically build a mathematical model using sample data – also known as “training data” – to make decisions without being specifically programmed to make those decisions. Machine Learning is, in part, based on a model of brain cell interaction. The model was created in 1949 by Donald Hebb in a book titled The Organization of Behavior (PDF). The book presents Hebb’s theories on neuron excitement and communication between neurons. 2019-03-26 07:35:41+00:00 Read the full story. Interest Score: 1.3445, Positive Sentiment: 0.2988, Negative Sentiment 0.1670

Problems before tools: An alternative perspective to the full stack data science generalist

I recently read an article from Eric Colson, Chief Algorithm Officer at Stitch Fix, where he talked about how we should avoid building data science teams like a manufacturing plant, comprising of highly specialized individuals operating different parts of a manufacturing process. Instead data science teams should be built with a full stack approach where data scientists are considered to be generalists. Generalists refers to the capability of performing diverse functions from conception to modelling to implementation to measurement. I won’t go into a detail summary of the article here but you should read Eric’s article before continuing on. The purpose of this article is to provide a complementary view into Eric’s philosophy. In his article, he took a very top down approach to describing why a data science team should be built with generalists. I believe the same conclusion can be drawn through the lens of a bottoms up approach, from a perspective of a practitioner of data science and what it really means to be in data science. 2019-03-29 00:00:00+00:00 Read the full story. Interest Score: 1.3396, Positive Sentiment: 0.0968, Negative Sentiment 0.1937

Collaboration rules: The benefits of a platform approach for developers

More and more financial institutions are driving value by collaborating with Fintechs, usually by leveraging open APIs. This strategy is in direct contrast to the way in which banks have traditionally managed their businesses, which is to directly own technology resources and keep everything firmly closed. Increasingly being referred to as the platform economy, drivers behind this revolution in financial services include regulations such as PSD2… 2019-03-29 13:49:42 Read the full story. Interest Score: 1.3122, Positive Sentiment: 0.5882, Negative Sentiment 0.0905

UK’s NHS Thinking Through Role of AI in Medical Decision-Making

In many areas of industry and research, people are excited about artificial intelligence (AI). Nowhere more so than in medicine, where AI promises to make clinical care better, faster and cheaper. Last year, UK Prime Minister Theresa May said that “new technologies are making care safer, faster and more accurate, and enabling much earlier diagnosis”. Backing developments in medical AI is seen in the UK as an important step in improving the provision of care for the National Health … 2019-03-29 14:00:22+00:00 Read the full story. Interest Score: 1.2896, Positive Sentiment: 0.4008, Negative Sentiment 0.4880

Microsoft will be adding AI ethics to its standard checklist for product release

BOT or NOT? This special series explores the evolving relationship between humans and machines, examining the ways that robots, artificial intelligence and automation are impacting our work and lives. Microsoft will “one day very soon” add an ethics review focusing on artificial-intelligence issues to its standard checklist of audits that precede the release of new products, according to Harry Shum, a top executive leading the company’s AI efforts. AI ethics will join privacy, security and accessibility on the list, Shum said today at MIT Tech… 2019-03-25 21:09:23-07:00 Read the full story. Interest Score: 1.2649, Positive Sentiment: 0.1054, Negative Sentiment 0.1405

AI, Automation & 5G ensuring the future of Industry 4.0

Industry 4.0 involves interconnecting all parts of a company and giving rise to effective automation resulting in a more intelligent organization. It is considered the fourth industrial revolution to the digitization phase of the manufacturing sector that was possible due to 4.0 technology. This process is driven by a surprising increase in data volume, the power of computer systems and connectivity. These changes will allow the different sectors… 2019-03-29 05:30:37+00:00 Read the full story. Interest Score: 1.2538, Positive Sentiment: 0.1992, Negative Sentiment 0.1172

3 High-Growth Stocks That Could Soar — The Motley Fool

Aggressive growth stocks can produce market-beating returns by disrupting industries and taking advantage of big, new trends, but there are risks. High-growth companies often spend more money than they make to stay ahead of competitors, and that means there’s little money left over to reward investors with earnings, share repurchases, or dividends. That situation can lead to stomach churning volatility, so picking the right growth stocks to buy i… 2019-03-31 00:00:00 Read the full story. Interest Score: 1.2525, Positive Sentiment: 0.2877, Negative Sentiment 0.1862

AI and ML Pervasive at Mobile World Congress 2019

By Phil Marshall, PhD, Tolaga Research At the Mobile World Congress (MWC) in Barcelona this February, it was hard to find a spot in the exhibition halls where artificial intelligence (AI) and machine learning (ML) were not visible in one way or another. As usual, the event had no shortage of innovative use-cases, but there was a common concern at the show that many lacked compelling business cases. For a growing number of use-cases, the ingredients needed to derive business value comes from AI and ML capabilities. This creates tremendous opportunities for AI and ML solutions, so long as they are impl… 2019-03-26 14:20:07+00:00 Read the full story. Interest Score: 1.2356, Positive Sentiment: 0.2228, Negative Sentiment 0.3443

How to Use Intelligent Automation to ‘Work Like Tomorrow’

No matter what industry you’re in, a constant business goal is to remain a step ahead of the competition. But what does that really mean? How can business owners quantify that in a meaningful way? The answer to those questions may evolve over time, but savvy business owners are using intelligent automation, a concept that involves executing a wide variety of tasks and processes quickly and efficiently. Automating complex business problems with machine learning leads to a number of benefits–the most obvious being saving time and reducing the risk of human error. These can lead to a wider set of benefits, including improved team morale, thanks to the ability to focus on more challenging and rewarding work and reduced risk where compliance issues are concerned. All of this combines to make businesses more competitive, more profitable and positioned for growth. Process-automation software maker Kofax likes to call it “working like tomorrow,” because in the future this type of technology will help businesses of all types and sizes. 2019-03-28 00:00:00 Read the full story. Interest Score: 1.2156, Positive Sentiment: 0.5065, Negative Sentiment 0.1688  

Data Analytics Performance Gap Ruins CX in Banking

The mission of building one-to-one communication and engagement is not a new concept. Back in 1993, Don Peppers and Martha Rogers, Ph.D., proposed that organizations could use technology to gather information about, and to communicate directly with, individuals to form a personal bond. The book, The One to One Future: Building Relationships One Customer at a Time, stated that technology had made it p… 2019-03-28 00:04:04+00:00 Read the full story. Interest Score: 1.2088, Positive Sentiment: 0.4903, Negative Sentiment 0.0930

How Financial Institutions Are Becoming Champions Of Big Data

u which industry is the most innovative, you probably wouldn’t say the financial industry. In fact, that would probably be the last industry on your list. Nonetheless, the financial industry is using big data more than ever. The success of both Fintech companies and traditional banks will hinge on their ability to leverage big data to its fullest potential. How Financial Institutions Are Becoming the Unlikely Champions of Big Data The financial sector, due to the huge amount of regulation and pending legislation placed upon it, can be a risky place in which to innovate. As a result, the utilization … 2019-03-28 20:53:57+00:00 Read the full story. Interest Score: 1.2080, Positive Sentiment: 0.2889, Negative Sentiment 0.3939

Fraud detection with cost-sensitive machine learning

In traditional two-class classification problems we aim to minimize misclassifications and measure the model performance with metrics like Accuracy, F-score or the AUC-ROC Curve. In certain problems, however, it is for the best to allow more misclassifications at the benefit of lower total costs. If costs associated with misclassifications vary among samples, we should apply an example-dependent cost-sensitive learning approach. But let’s start from the beginning… In this article, I will be explaining the concept of example dependent cost-sensitive machine learning by training and testing a variety of models on a credit card fraud data set. Please note that I chose the models for this task for the purpose of illustrating the concept rather than achieving optimal prediction results. Snippets of the code are presented in this article and the full code is available on my GitHub. 2019-03-29 16:58:11.482000+00:00 Read the full story. Interest Score: 1.2062, Positive Sentiment: 0.1152, Negative Sentiment 0.6370

Emirates NBD’s digital bank Liv. launches chatbot powered by Kasisto’s KAI Banking

Source: Kasisto Kasisto, creators of KAI Banking, the leading conversational AI platform for finance, and Liv., the largest digital bank in the UAE, operated and managed by Emirates NBD, a leading bank in the Middle East region, today announced the launch of Olivia, Liv.’s conversational Launched in 2017, Liv. is a mobile-only bank for UAE millennials centered around lifestyle, offering instant fully digital account opening, curated and persona… 2019-04-01 09:48:00 Read the full story. Interest Score: 1.1606, Positive Sentiment: 0.5398, Negative Sentiment 0.0000

After ‘Bandersnatch’ Netflix Ups Its AI Game With ‘Love Death + Robots’

After the success of Bandersnatch, the episode from the critically-acclaimed Netflix series Black Mirror which lets its viewers interact with the character with the help of AI, the platform has rolled out a similar concept. Titled Love, Death + Robots, is an animated anthology that spans multiple genres, exploring futuristic themes. The key here is that Netflix has taken user data, applied artificial intelligence and is shuffling the order of the episodes so that each viewer gets a unique and tailored viewer experience. 2019-04-01 12:21:32+00:00 Read the full story. Interest Score: 1.1537, Positive Sentiment: 0.1236, Negative Sentiment 0.1648

Reinforcement Learning: Introduction to Temporal Difference (TD) Learning

Q-learning became a household name in data science when DeepMind came up with an algorithm that reached superhuman levels on ATARI games. It’s one of the core components of reinforcement learning (RL). I regularly come across Q-learning whenever I’m reading up about RL. But what does Q-learning have to do with our topic of temporal difference learning? Let me take an example to give an intuition of what temporal difference learning is about. 2019-03-28 04:46:16+00:00 Read the full story. Interest Score: 1.1479, Positive Sentiment: 0.1845, Negative Sentiment 0.1384

SAP Enhances SAP Analytics Cloud Solution

SAP is making enhancements to the SAP Analytics Cloud solution, boosting augmented analytics, business intelligence (BI), enterprise planning workflows, and data integration capabilities. “The combination of machine intelligence and human creativity is where analytics is at its best,” said Gerrit Kazmaier, senior vice president, SAP HANA and Analytics. “With SAP Analytics Cloud, our focus is continuous innovation in a unified solution that is in… 2019-03-27 00:00:00 Read the full story. Interest Score: 1.1282, Positive Sentiment: 0.5470, Negative Sentiment 0.0684

Lucidworks Announces Fusion 4.2 With New Predictive Merchandising Feature

press release reports, “Lucidworks, leader in AI-powered search applications, today announces the release of Lucidworks Fusion 4.2, the latest version of their development platform that incorporates machine learning and AI technologies into search applications. The release includes increased usability for product owners and domain experts to easily deploy AI-powered solutions to build a more powerful digital experience for users and increase revenues. ‘Retailers are competing to deliver a highly-personalized digital experience to customers, and search is often at the core of the applications and touchpoints … 2019-03-29 07:10:05+00:00 Read the full story. Interest Score: 1.1117, Positive Sentiment: 0.2779, Negative Sentiment 0.0556

We DO Need To Maximize Shareholder Value. Here’s Why.

Shareholder Value Maximization, Shareholder Primacy and related concepts have been drawn and quartered from all corners. Academia, the business and regular media, politicians and even some in the business community have skewered these concepts, portraying them as evil incarnate and responsible for a plethora of business and societal ills. I would suggest that this is unhealthy in general but even more so in a hyper-competitive business climate (t… 2019-03-27 18:09:20+00:00 Read the full story. Interest Score: 1.0606, Positive Sentiment: 0.1577, Negative Sentiment 0.2293  

Amazon Rises After Oppenheimer Raises Price Target

Oppenheimer raised its price target to $2,085 from $1,975 a share and maintained its outperform rating on the stock, citing the company’s ability to leverage its artificial intelligence capabilities for the Amazon Web Services business. The analysts said they raised the price target “after revisiting our AWS model to reflect our views on artificial intelligence and its impact on cloud adoption. We think AWS is well-positioned as AI leads productivity improvements, forcing faster enterprise cloud adoption.” Oppenheimer said AWS wasn’t only primed for more customers in the near … 2019-04-01 08:36:44-04:00 Read the full story. Interest Score: 1.0347, Positive Sentiment: 0.2069, Negative Sentiment 0.1552

Here Are 6 Ways Conversational AI Supercharges the Bank Customer Experience

The banking and financial services industry is ripe for technological disruption. Banks are naturally experimenting with AI (artificial intelligence) to automate traditional day-to-day transactions, while insurance companies and financial advisors are chasing alpha by layering AI on top of data to ascertain risk. These institutions in general are expected to save more than $1 trillion by 2030 by using AI. Enter the digital customer service representative, virtual agent, or advisor. Whatever you choose to call it, they all (at least the good … 2019-03-26 14:00:58+00:00 Read the full story. Interest Score: 1.0337, Positive Sentiment: 0.3146, Negative Sentiment 0.2247

RSAC 2019 Showcases Entrepreneurs Securing Our New World

Earlier this month, the top cybersecurity startups traveled to the new and improved Moscone Center to battle it out at the RSA Security Conference’s “Shark Tank”-style competition. These eminent data scientists, cyber warriors and scrappy entrepreneurs delivered three-minute pitches before the judges of Innovation Sandbox. 2019-03-27 00:00:00 Read the full story. Interest Score: 1.0312, Positive Sentiment: 0.2107, Negative Sentiment 0.2994

World Backup Day 2019: A Little Planning Can Pay Off Big Time

March 31 is World Backup Day, which reminds all of us that we need to back up all our personal and business-related documents, photos, videos—anything else digital that we value. Those of us who have lost important files in the past know what a pain it is—and how much valuable time it takes—to re-create them or make new copies, if it’s possible. Thinking ahead and taking the time and attention needed to ensure the protection of data valuables is… 2019-03-31 00:00:00 Read the full story. Interest Score: 0.9857, Positive Sentiment: 0.1942, Negative Sentiment 0.4273

AI Weekly: Will Amazon’s cosponsored NSF solicitation help or warp AI research?

This week, in what might have been construed as a gesture of goodwill, Amazon announced that it would partner with the National Science Foundation (NSF) to commit up to $10 million in research grants over the next three years to develop systems focused on “fairness in AI.” But the intervening days brought debate rather than praise as researchers questioned the Seattle company’s true motives — and its methods. They quickly pointed out that Amazon… 2019-03-29 00:00:00 Read the full story. Interest Score: 0.9834, Positive Sentiment: 0.1311, Negative Sentiment 0.3059

Adobe, Microsoft & SAP Expand Their Open Data Initiative

This week at the Adobe Summit, Adobe CEO Shantanu Narayen and Microsoft CEO Satya Nadella revealed additional details about the Open Data Initiative. As originally announced last September, Adobe, Microsoft and SAP outlined a common approach and set of resources for customers with the ambition of helping customers create new connections across previously siloed data, more seamlessly garner intelligence, and ultimately better serve brands with an … 2019-03-28 12:17:38+00:00 Read the full story. Interest Score: 0.9780, Positive Sentiment: 0.4191, Negative Sentiment 0.0349

Why Sports Analytics Is More Than Just A Numbers Game

Sports over the years have become extremely competitive — today, the scenarios are so intense that a minute can completely flip the course of a game. And in order to stay one step ahead of the rivals, sports teams are opting to analytics. And it is not only because of the competitive pressure but also because of fans base who seek detailed information about players, their performance, the reason why the team won or lost etc. Simply put, sports analytics is the practice of applying data gathered from a player’s or team’s performance under different circumstance for better decision making and improving performance. It can also be used to understand and maintain a team’s fan-base and capture the eye of investors. Sports analytics is not a very new concept, though — it has been around for quite some time. However, the recent advancements in data collection and management have expanded its role significantly. 2019-04-01 12:08:18+00:00 Read the full story. Interest Score: 0.9717, Positive Sentiment: 0.5080, Negative Sentiment 0.1104

Amazon Web Services unveils pre-packaged containers that make deep learning models easier to run

Customers of Amazon Web Services looking for easier ways to get their deep-learning models into production will be able to take advantage of a new service based around Docker containers. Matt Wood, general manager of deep learning and AI for AWS, announced the AWS Deep Learning Containers Wednesday during the AWS Summit in Santa Clara, Calif. The idea is to take some of the complexity of actually deploying complicated deep-learning models onto cloud services using familiar tools like the widely used Docker container format, Wood said. Customers that choose this option will be able to “do less of the undifferentiated heavy lifting of installing these complicated frameworks,” Wood said. AWS Deep Learning Containers supports the TensorFlow and MXNet frameworks at launch, and support for Pytorch will be added soon, he said. 2019-03-27 18:29:57-07:00 Read the full story. Interest Score: 0.9620, Positive Sentiment: 0.2532, Negative Sentiment 0.2025

Will robots (AI) end up taking over the job of writers?

Will robots end up taking over the job of writers? Well, this is a common question that’s being asked. Especially in the last decade due to the development of artificial intelligence, which continues to influence the writing industry. Writing is not as effortless as it may seem. Bloggers, journalists, reporters, and students face numerous challenges to make sure they produce legit and relevant content on topics about the latest trends, ideas, and news. It may seem improbable that a computer can carry out similar multifaceted creativity to produce complex and coherent pieces o… 2019-03-27 06:03:03+00:00 Read the full story. Interest Score: 0.9587, Positive Sentiment: 0.1806, Negative Sentiment 0.2918

Assessing Data Science Job Offers and Negotiations – Dataquest

This article is a part of our in-depth Data Science Career Guide. To read the other articles, please refer to the table of contents or the links that follow this post. Whether you have waded through the monotonous and labor-intensive journey that is a job search and ended up with an offer or two or you have been offered a promotion at your current company, it’s important to remember that you haven’t quite finished yet! Especially at the point of… 2019-03-29 13:00:02+00:00 Read the full story. Interest Score: 0.9304, Positive Sentiment: 0.3154, Negative Sentiment 0.1158

The Apache Software Foundation Continues to Grow Open-Source Software

Open source in 2019 is commonplace and serves as the foundation for much of modern IT infrastructure, including the cloud—but it wasn’t entirely that way in 1999. Twenty years ago, the Apache Software Foundation (ASF) got its start as a group to help organize and support open-source project efforts. According to the ASF, it now provides more than $20 billion worth of software at no cost under an open-source model. The ASF in 2019 helps to manage… 2019-03-29 00:00:00 Read the full story. Interest Score: 0.9156, Positive Sentiment: 0.2616, Negative Sentiment 0.0654

Pure Storage Airi Goes HyperScale at GTC 2019

This week at the NVIDIA GPU Technology Conference (GTC), flash storage vendor Pure Storage announced an extension to its engineered systems for artificial intelligence. For those not familiar with the term, an engineered system is a turnkey solution that brings together all the technology components required to run a certain workload. The first example of this was the vBlock system introduced by VCE, a joint venture between VMware, Cisco Systems and EMC. It included all the necessary storage, networking infrastructure, servers and software to stand up a privat… 2019-03-28 00:00:00 Read the full story. Interest Score: 0.8975, Positive Sentiment: 0.0997, Negative Sentiment 0.0399

Banking on the Branch of the Future

Disruptive technologies are challenging traditional bank business models and changing how banks interact with their customers. Cores are being modernized, and artificial Intelligence (AI) and machine learning (ML) technologies are automating, refining and optimizing processes. Meanwhile, digital and mobile-only direct banks have surged in popularity, and banking solutions are moving to the cloud. These are natural adaptations to the on-demand, digital experiences to which customers have become accustomed when they make purchases online, travel or secure a ride on their phone—… 2019-03-28 13:52:51 Read the full story. Interest Score: 0.8970, Positive Sentiment: 0.1531, Negative Sentiment 0.1531

Lloyds Banking Group unveils new mobile banking features

Lloyds Banking Group has rolled out a suite of new features for its mobile banking app, including spend tracking, bill payment alerts and spare change savings options. Available initially to users of Android mobiles, Lloyds Bank, Halifax and Bank of Scotland customers will be able to receive mobile notifications which can be customised to track their spending and transactions. The alerts can let users know when they receive money from a frien… 2019-03-27 10:59:00 Read the full story. Interest Score: 0.8934, Positive Sentiment: 0.3350, Negative Sentiment 0.0000

Darktrace, the security startup worth $1.65 billion, posts massive growth as its executives get dragged into a $5 billion fraud trial

The British tech unicorn Darktrace posted a 93% jump in revenue last year, striking a positive note as the company tries to distance itself from a $5 billion courtroom drama involving one of its major backers. According to filings with the UK’s Companies House, Darktrace saw an increase in its pretax losses, but the overall story through 2018 was one of growth. It has more than doubled its headcount, with the new employees mostly across sales an… 2019-04-01 00:00:00 Read the full story. Interest Score: 0.8651, Positive Sentiment: 0.0641, Negative Sentiment 0.4486

Terbium Labs Shines a Light on the Dark Web With Matchlight

Data is stolen or leaked out from organizations on a regular basis to various criminal sites, often referred to as the Dark Web. While identifying lost or stolen data on the regular web is commonplace since the data can be found, finding things on the Dark Web can be a more challenging exercise, given that resources try to remain as hidden as possible from public view. Identifying and finding personally identifiable information (PII) on the Dark… 2019-03-25 00:00:00 Read the full story. Interest Score: 0.8621, Positive Sentiment: 0.0985, Negative Sentiment 0.3448

World’s Fastest Supercomputer Aurora To Be Built Over The Next 2 Years

Ever since humans invented machines, the goal has been to make them as efficient and as powerful as possible. When we talk about machines, computers, in particular, we have come a long way in a relatively short period of time considering how powerful we made them since the invention of the very first one. Aurora and Exascale computing In the computing world, the performance of a Computer is measured in FLOPS or Floating Point Operations Per Sec… 2019-03-26 07:46:55+00:00 Read the full story. Interest Score: 0.8563, Positive Sentiment: 0.2854, Negative Sentiment 0.0259

Siemens Gamesa Renewable Energy creates a more sustainable future with wind power, AI and the cloud

With towers as high as 120 meters (390 feet) and rotor blades that span the height of a 22-story building, industrial wind turbines are challenges to inspect and maintain. Traditionally, a wind turbine blade inspection required technicians to rappel down a stopped turbine in remote areas – sometimes at sea – to take pictures of cracks and faults in a turbine’s blades. Or it involved someone on land taking pictures with a telescope and camera. Th… 2019-03-28 09:54:37+00:00 Read the full story. Interest Score: 0.8288, Positive Sentiment: 0.2694, Negative Sentiment 0.3523

New AI, Analytics Head Global Release of Adobe Experience Platform

Adobe announced a series of product updates and partnerships March 26 at its annual Adobe Summit. Headlining the announcements is the global release of Adobe Experience Platform (an update to what was earlier called Adobe Cloud Platform). Partnerships with Microsoft, LinkedIn and ServiceNow were also announced that are all aimed at improving the personalization and effectiveness of Adobe Experience Platform to marketers and other enterprise users. The Adobe Experience Platform is the umbrella term and underlying technology that ties together four Adobe services: Advertising Cloud, Analytics Cloud, Marketing Cloud and Commerce Cloud. 2019-03-26 00:00:00 Read the full story. Interest Score: 0.8253, Positive Sentiment: 0.1605, Negative Sentiment 0.0459

Tech Execs Warn of ‘Consumer-ification of Wealth Business’

Just as thousands of college students gathered recently in Florida for spring break, leaders of top wealth management firms assembled in the Sunshine State for SS&C Advent’s Black Diamond Executive Forum and the Pershing Elite Advisor Summit. Staged by technology and custodian leaders in mid-March, these two executive conferences brought together staff from growth-minded firms for networking, industry content, professional development and techno… 2019-03-26 00:00:00 Read the full story. Interest Score: 0.8210, Positive Sentiment: 0.2696, Negative Sentiment 0.1103

Politico is pumping $10 million into its subscription product as new tech startups muscle into the pricey DC market

Politico is trying to boost its high-priced subscription product as it fights off competitors. Since its launch in 2007, Politico has forged an enviable model for journalism, a centerpiece of which is a subscription product called Politico Pro for political and regulatory news, starting at $5,000 a year. The money from that service — Pro now accounts for more than half of Politico’s revenue, with the rest coming from advertising — enables the co… 2019-03-29 00:00:00 Read the full story. Interest Score: 0.8053, Positive Sentiment: 0.0700, Negative Sentiment 0.0525

How McKinsey partners deal with tech disruption

an environment where different perspectives and skills can come to the fore and help answer the question.” McKinsey is making a renewed push into digital consulting, having purchased the specialist data analytics firm QuantumBlack in 2015. The UK-based CEO of QuantumBlack, Jeremy Palmer, says the new data-era means leaders have to become more humble. “This is a big shift in behaviour and leadership styles and it is fundamentally about having a whole toolkit of skills and mind sets, which is more about managing diversity,” Palmer said during a visit to Sydney with QuantumBlack co-founder Simon Williams l… 2019-03-27 00:00:00 Read the full story. Interest Score: 0.7986, Positive Sentiment: 0.3993, Negative Sentiment 0.0444

7 Ways Big Data Is Essential For Life Insurance Settlements

The life insurance industry will soon undergo a dramatic transformation in response to advances in big data. A growing number of digital startups are starting to emphasize the impact of big data in this antiquated business. A number of insurance executives have been reluctant to embrace the changes of big data. One study found that 74% of respondents felt that the insurance industry had done an inadequate job addressing the need for big data. However, a growing number of insurers are starting to appre… 2019-03-28 22:59:29+00:00 Read the full story. Interest Score: 0.7875, Positive Sentiment: 0.1109, Negative Sentiment 0.1996

David and Goliath – A new world of possibilities for content sharing

Disney and Fox have finally closed their deal, creating a new powerhouse that will have far reaching consequences on the global entertainment industry. They have promised to launch their own streaming platforms, which leaves the likes of Amazon, Netflix, Hulu and YouTube in a very interesting position and will surely have their own response to this ground-breaking development. However, grabbing and holding on to the lion’s share of this highly lu… 2019-03-29 09:43:36 Read the full story. Interest Score: 0.7788, Positive Sentiment: 0.3115, Negative Sentiment 0.1558

Micro-Movements in Driving Behaviors: Crucial for AI Self-Driving Cars

I was eagerly awaiting making a right turn on a red light at a busy intersection that led onto the always hectic Pacific Coast Highway (PCH). Dutifully stopping behind the crosswalk line, I could not quite see the prevailing traffic that was coming over a hilly portion of PCH that fed down through this particular area. The layout meant that you could not be fully sure whether the lanes were free to drive int… 2019-03-26 14:30:47+00:00 Read the full story. Interest Score: 0.7735, Positive Sentiment: 0.0925, Negative Sentiment 0.2420

Why Data Analytics In The Insurance Industry Is A Major Game Changer

Technology has had a profound impact on the insurance industry. Insurers are relying heavily on big data as the number of insurance policyholders also grow. Big data analytics can help solve a lot of data issues that insurance companies face, but the process is a bit daunting. It can be challenging for insurance companies who have not adjusted to this just yet. The National Association of Insurance Commissioners has talked about the applications of big data in the insurance industry. “As insurers … 2019-03-25 21:48:05+00:00 Read the full story. Interest Score: 0.7696, Positive Sentiment: 0.1673, Negative Sentiment 0.5354

Corporate Boards Are Pessimistic About Trade Between the U.S. and China

The U.S. trade fights and UK’s Brexit are the most salient and recent symptoms of a decade of retreat from globalization that has international business apprehensive about the future. One of the most worrying developments today is the rising tension between the U.S. and China on everything from trade to military posturing. My research has shown that many corporate leaders believe this strategic rivalry could develop into a situation reminiscent of the Cold War in which much of the world is divided into two spheres of influence, this time centered around either the U.S. or China. In this scenario, trade and investments between the opposing spheres would likely be highly limited, and strategic goods such as high technology components and products would be subject to stringent export controls. (Huawei’s growing isolation is a recent case in point.) This scenario would leave multinational firms with unpleasant options for how to handle any assets or operations that fall into the opposing sphere’s territories. 2019-03-29 13:00:51+00:00 Read the full story. Interest Score: 0.7502, Positive Sentiment: 0.1815, Negative Sentiment 0.3388

Working Geek: David Aronchick’s new Microsoft job packs everything cool into one role

When David Aronchick returned to Microsoft last fall, I suspect that many folks there did a little happy dance. A Dartmouth grad with undergrad degrees in psychology and chemistry, Aronchick worked at Microsoft for more than six years until the company lost him in 2007. He left the Redmond, Wash. software and cloud behemoth to launch his own Seattle-based startup, an audio clip sharing platform called Hark. From there he led product management for Prime Now restaurants at Amazon, was a senior product marketer at the software company Chef, and then led project management on Google’s Kubernetes Engine where he co-founded Kubeflow. 2019-03-28 19:30:15-07:00 Read the full story. Interest Score: 0.7501, Positive Sentiment: 0.2261, Negative Sentiment 0.1850

The problem with data science job postings

The problem with data science job postings Every once in a while, you notice something that you realize you probably should have noticed a long time ago. You start to see it everywhere. You wonder why more people aren’t talking about it. For me, “every once in a while” was yesterday when I was scrolling through the #jobs channel in the SharpestMinds Slack workspace, and the “something” is … 2019-03-30 13:05:54.914000+00:00 Read the full story. Interest Score: 0.7427, Positive Sentiment: 0.1519, Negative Sentiment 0.3714  
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