stock exchange evolution panel

AI & Machine Learning News. 28, May 2019

AI boot camp aims to draw more teen girls into computer science

As an engineering student at the University of Pennsylvania in the 1990s, Didem Un Ates was one of only five women in a graduating class of 180. Today, she’s on a mission is to drastically change those numbers. Un Ates is part of a Microsoft team that launched “Alice envisions the future,” a boot camp for girls focused on artificial intelligence. The first event in Athens – packed with keynote speeches, panel discussions and hands-on workshops – helped spark the passion for AI in 160 girls from 16 countries. After witnessing the success of the inaugural event, the team took the show on the road, first to London last October, and then to New York in March. Registration is now open for two more “Girls in AI” hackathons for girls 14 to 18, which are scheduled for next month:
  • June 8-9 in San Francisco
  • June 15-16 in the Seattle area
Registration is free and attendees do not need a laptop or any experience with coding – just a curiosity about AI and a creative mind. The first 80 students to register will be accepted. 2019-05-22 00:00:00 Read the full story. Interest Score: 1.2092, Positive Sentiment: 0.2830, Negative Sentiment 0.1029 CloudQuant Thoughts… We must boost the number of young women in AI and tech in general and we wholeheartedly support this initiative from Microsoft.  

Intel’s present and future AI chip business

The future of Intel is AI. Its books imply as much. The Santa Clara company’s AI chip segments notched $1 billion in revenue last year, and Intel expects the market opportunity to grow 30% annually from $2.5 billion in 2017 to $10 billion by 2022. Putting this into perspective, its data-centric revenues now constitute around half of all business across all divisions, up from around a third five years ago. Still, increased competition from the likes of incumbents Nvidia, Qualcomm, Marvell, and AMD; startups like Hailo Technologies, Graphcore, Wave Computing, Esperanto, and Quadric; and even Amazon threaten to slow Intel’s gains, which is why the company isn’t resting on its laurels. Intel bought field-programmable gate array (FPGA) manufacturer Altera in 2015 and a year later acquired Nervana, filling out its hardware platform offerings and setting the stage for an entirely new generation of AI accelerator chipsets. Last August, Intel snatched up Vertex.ai, a startup developing a platform-agnostic AI model suite. 2019-05-27 00:00:00 Read the full story. Interest Score: 1.3784, Positive Sentiment: 0.1702, Negative Sentiment 0.1098

Intel will tease 10-nm Ice Lake processor in Taiwan

Intel said it will show a number of new products, including its 10-nanometer mobile processor code-named Ice Lake. The big chip maker will make the announcement at the Computex trade show in Taiwan. The Ice Lake chips and the special edition 9th Gen Intel Core i9-9900KS processor — for desktop gaming fans — will be shipping later this year. The company raised the notion that benchmarks will have to be different in the “data-centric era,” as the… 2019-05-26 00:00:00 Read the full story. Interest Score: 1.1252, Positive Sentiment: 0.3868, Negative Sentiment 0.0000

AMD unveils the 12-core Ryzen 9 3900X, at half the price of Intel’s competing Core i9 9920X chipset

AMD CEO Lisa Su gave the Computex keynote in Taipei today, the first time the company has been invited to do so (the event officially starts tomorrow). During the presentation, AMD unveiled news about its chips and graphics processors that will increase pressure on competitors Intel and Nvidia, both in terms of pricing and performance. All new third-generation Ryzen CPUs, the first with 7-nanometer desktop chips, will go on sale on July 7. The showstopper of Su’s keynote was the announcement of AMD’s 12-core, 24-thread Ryzen 9 3900x chip, the flagship of its third-generation Ryzen family. It will retail starting at $499, half the price of Intel’s competing Core i9 9920X chipset, which is priced at $1,189 and up. 2019-05-26 00:00:00 Read the full story. CloudQuant Thoughts… Intel take us beyond 4Ghz to Every Core at 5.0 GHz, All The Time but they are still stuck with 10-nm tech whereas AMD are down to 7-nm and their stock is soaring today. Apple continue to sound disgruntled with Intel both for their failure to deliver performance improvements and in many cases their failure to deliver full stop!  

Man Takes Police to Court for Scanning His Face Without Consent

For the first time, police in the U.K. are going to have to defend their use of facial recognition tech in court. British office worker Ed Bridges is claiming that South Wales Police scanned his face at least twice without his permission. He believes these scans violated his human rights, an assertion he will present during a three-day court hearing that kicked off in Cardiff on Tuesday — and if the court agrees with Bridges, the ruling could profoundly alter future use of facial recognition tech by law enforcement. 2019-05-21 00:00:00 Read the full story. CloudQuant Thoughts… These cases will keep coming up and we will hopefully get to a point where we are all protected in the best possible way.  

Nvidia EGX takes AI computing to the edge of the network

Nvidia is launching its EGX Platform to bring real-time artificial intelligence to the edge of the network. This means AI computing will happen where sensors collect data before it is sent to cloud-connected datacenters. “There’s a massive change in the computing industry being driven by growth of [internet of things] sensors,” said Justin Boitano, senior director of enterprise and edge computing, in a press briefing. “There are cameras for seeing the world, microphones for hearing the world, and devices being deployed so machines can detect what is happening in the real world.” But this also means there’s an exponential increase in the amount of raw data that has to be analyzed. “We will soon hit a crossover point where there is more computing power at the edge than in datacenters,” Boitano said. Nvidia and its customers will offer a new class of servers for instant AI on real-time streaming data in markets such as telecommunications, medicine, manufacturing, retail, and transportation. Nvidia showed the platform at the Computex event in Taiwan. 2019-05-27 00:00:00 Read the full story. Interest Score: 1.9130, Positive Sentiment: 0.1491, Negative Sentiment 0.0497  

Microsoft and General Assembly Launch Partnership to Close Global AI Skills Gap

“Microsoft Corp. and global education provider General Assembly (GA) on Friday announced a partnership to close skills gaps in the rapidly growing fields of artificial intelligence (AI), cloud and data engineering, machine learning, data science, and more. This initiative will create standards and credentials for AI skills, upskill and reskill 15,000 workers by 2022, and create a pool of AI talent for the global workforce. Technologies like AI are creating demand for new worker skills and competencies: According to the World Economic Forum, up to 133 million new roles could be created by 2022 as a result of the new division of labor between humans, machines and algorithms. To address this challenge, Microsoft and GA will power 2,000 job transitions for workers into AI and machine learning roles in year one and will train an additional 13,000 workers with AI-related skills across sectors in the next three years.” The release continues, “The joint program will focus on three core areas: setting the standards for artificial intelligence skills, developing scalable AI training solutions for companies, and creating a sustainable talent pool of workers with AI skills. Standards. To create clear and consistent standards for AI skills, Microsoft will be the founding member of GA’s AI Standards Board, and will be joined by other industry-leading companies at the forefront of AI disruption. Over the next six months, the Standards Board will define skills standards, develop assessments, design a career framework, and build an industry-recognized credential for AI skills. Learn more about GA’s Standards Boards here. Training. As businesses adopt AI and machine learning cross-functionally, business leaders and technologists alike must understand AI concepts and master AI tools. Today, Microsoft supports business in aerospace, manufacturing and other sectors with Azure, but many workers are not yet ready to leverage its full capabilities. The collaboration will focus on accelerating the workforce training needs of Microsoft’s customers so that more teams have the foundational skills needed to work with AI.” 2019-05-28 07:10:53+00:00 Read the full story. Interest Score: 1.8263, Positive Sentiment: 0.0891, Negative Sentiment 0.0891

AI is Beating the Hype With Stunning Growth

Follow the money. It is true in politics, business and investing. Right now, there is no question that the money is headed into artificial intelligence. Gartner, a global IT research and advisory company, surveyed 3,000 CIOs operating in 89 countries in January. The Stamford, Conn., firm found that AI implementations grew 37% during 2018, and 270% over the last four years. This is a trend investors should embrace. That’s because it is going to last for a while. And it’s going to make a lot of people very rich. Investors have soured on AI recently. Self-driving cars, smart cities and robotics keep getting smacked down as idealistic hype. That’s mostly because their implementations are decades away … or that these ideas are expensive solutions looking for problems. So say the critics, anyway. They point to once-high-flying stocks like Nvidia, which just saw its share price get cut in half because of slowing demand for cutting-edge gear and software. However, that assessment is lazy. It also misses the point. 2019-05-24 14:10:47+00:00 Read the full story. Interest Score: 1.7669, Positive Sentiment: 0.0570, Negative Sentiment 0.1995

QuantMinds 2019 Vienna – Cuemacro

Vienna is one of those places which has somehow largely eluded my travels. The last time I visited it was 25 years ago. However, it has very much stuck in my memory. History is one of those things which you can never escape from in Vienna. The echos of musical history are everywhere, whether it is Mozart or Beethoven, or the Viennese waltz. There are also the very well known difficult periods of war which the city went through in the twentieth century. When I visited it recently, whilst the city had evidently changed, I was happy that many of my memories of the place were intact. I also indulged in perhaps a bit too much of the heaviest types of Viennese food (Schnitzel, cake and Tafelspitz). The main reason I had come to Vienna, however, was for the annual QuantMinds conference. I’ve been coming to the QuantMinds conferences for a number of years. What has been noticeable is how the conference has changed. During my first few years, the focus was very much on the traditional areas of quantitative finance, mainly option pricing. Of course, option pricing is still a key area for the conference, but the agenda in more recent years has often been punctuated by machine learning and other newer areas such as alternative data. 2019-05-21 00:00:00 Read the full story. Interest Score: 1.5832, Positive Sentiment: 0.1616, Negative Sentiment 0.1616

The Machine Learning Life Cycle

Machine learning is fundamentally different from traditional software development applications and requires its own, unique process: the ML development life cycle. More and more companies are deciding to build their own, internal ML platforms and are starting down the road of the ML development life cycle. Doing so, however, is difficult and requires much coordination and careful planning. In the end, though, companies are able to control their own ML futures and keep their data secure. After years of helping companies achieve this goal, we have identified five challenges every organization should keep in mind when they build infrastructure to support ML development… 2019-05-24 14:00:47+00:00 Read the full story. Interest Score: 1.7590, Positive Sentiment: 0.2280, Negative Sentiment 0.1954

The Rules Governing AI Are Being Shaped by Tech Firms

IN EARLY APRIL, the European Commission published guidelines intended to keep any artificial intelligence technology used on the EU’s 500 million citizens trustworthy. The bloc’s commissioner for digital economy and society, Bulgaria’s Mariya Gabriel, called them “a solid foundation based on EU values.” One of the 52 experts who worked on the guidelines argues that foundation is flawed—thanks to the tech industry. Thomas Metzinger, a philosopher from the University of Mainz, in Germany, says too many of the experts who created the guidelines came from or were aligned with industry interests. Metzinger says he and another member of the group were asked to draft a list of AI uses that should be prohibited. That list included autonomous weapons, and government social scoring systems similar to those under development in China. But Metzinger alleges tech’s allies later convinced the broader group that it shouldn’t draw any “red lines” around uses of AI. Metzinger says that spoiled a chance for the EU to set an influential example that—like the bloc’s GDPR privacy rules—showed technology must operate within clear limits. “Now everything is up for negotiation,” he says. 2019-05-21 14:45:41+00:00 Read the full story. Interest Score: 1.0918, Positive Sentiment: 0.1120, Negative Sentiment 0.2800

6 Data And Analytics Trends To Prepare For In 2020

We’re well past the point of realization thatbig data and advanced analytics solutions are valuable — just about everyone knows this by now. In fact, there’s no escaping the increasing reliance on such technologies. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. IDC predicts that if our digital universe or total data content were represented by tablets, then by 2020 they would stretch all the way to the moon over six times. That’s equal to 44 zettabytes of data, or 44 trillion gigabytes. There are many reasons why data is being generated so quickly — doubling in size every two years. The birth of IoT and connected devices is just one source, while the need for more reliable real-time data is another. What’s more interesting, however, are the trends formed as a result of the newer digitally-reliant solutions. They specifically help shape the industry, altering how business analysts work with data. What will our digital future look like? How will we manage all this information? What skills should business analysts be focused on developing?
  1. Specialization of Job Roles
  2. Machine Learning Experience is a Must
  3. The Rise of Regulation
  4. Stay on the Bleeding Edge
  5. Cloud Computing and Related Mechanics
  6. Basic Business Intelligence Experience is a Must
2019-05-20 12:55:22+00:00 Read the full story. Interest Score: 1.2278, Positive Sentiment: 0.3038, Negative Sentiment 0.0759

How Amazon’s facial recognition ambition could stunt Alexa’s development

In debates now raging in the U.S. Congress and in legislatures around the country, China has been repeatedly invoked as the boogeyman, including by a senator introducing national AI legislation this week and a San Francisco lawmaker ahead of a vote to ban facial recognition software last week. But fears of a dystopian AI future are also swirling around Amazon’s facial recognition software system Rekognition, which the company reportedly attempted to sell to U.S Immigration and Customs Enforcement (ICE) and which has been tested by law enforcement in Washington and Oregon. While the public is currently focused on the use of Rekognition by law enforcement and government agencies, there is another issue to consider. If the technology becomes a standard part of the smart display experience, people may balk at the idea of installing Amazon’s technology in their homes. 2019-05-26 00:00:00 Read the full story. Interest Score: 1.0563, Positive Sentiment: 0.0880, Negative Sentiment 0.2767

San Francisco Bans Facial Recognition Technology

Amidst growing concerns about the privacy issues raised by facial recognition technology, San Francisco became the first major U.S. city to prohibit the technology. As part of a broader anti-surveillance ordinance (“Stop Secret Surveillance Ordinance”) introduced by Supervisor Aaron Peskin and approved overwhelmingly by the city’s Board of Supervisors, the facial recognition technology ban will apply to all of the city’s 53 different departments,… 2019-05-24 22:00:00+00:00 Read the full story. Interest Score: 0.8487, Positive Sentiment: 0.1857, Negative Sentiment 0.3050

Exploring Machine Learning with Google at Data Summit 2019

Whether the enterprise is completely new to machine learning (ML) or it has already trained and deployed a model from scratch, Google Cloud Platform has a variety of tools to help the company start using ML right now. Sara Robinson, developer advocate, Google, centered her presentation around the basics of machine learning during her Data Summit 2019 presentation, “Exploring Machine Learning on the Google Cloud Platform.” “If you boil it down machine learning is just basic multiplication,” Robinson said. Machine learning on Google Cloud starts out with choosing the right model. Data scientists and machine learning engineers take care of this process, Robinson explained. 2019-05-21 00:00:00 Read the full story. Interest Score: 2.9064, Positive Sentiment: 0.0000, Negative Sentiment 0.0538

Designing For Speed & Scalability at Data Summit 2019

There are new technologies that contribute to speed and scale of a modern data platform. But as data size and complexity increase with Big Data, data quality and data integration issues must still be addressed. Similar to many other mission-critical data management situations, clinical trials are fraught with missteps and data quality issues. At Data Summit 2019 Prakriteswar Santikary, VP & Global Chief Data Officer, ERT discussed how to create the architecture of a modern, cloud-based, real-time data integration and analytics platform that ingests any type of clinical data (structured, unstructured, binary, lab values, etc.) at scale from any data sources, during his presentation, “Designing a Fast, Scalable Data Platform.” 2019-05-22 00:00:00 Read the full story. Interest Score: 2.6414, Positive Sentiment: 0.1238, Negative Sentiment 0.2476

Faulty Data is Stalling AI Projects

Tens of billions will be spent this year on AI development, but those efforts continue to be stymied by ratty data that has undermined model training efforts and burned through project budgets. That’s the sobering conclusion of a vendor survey of data scientists, AI technologist and business executives that uncovered widespread problems with data quality, specifically data labeling required to train AI models. The result is that most AI projects are stalled, with little to show for early and substantial investments. The survey released Thursday (May 23) by AI training data specialist Alegionfound that despite heavy investment in focused AI and machine learning projects (most respondents said they have four or fewer projects in development), 78 percent of those projects have slowed at some stage before deployment. 2019-05-23 00:00:00 Read the full story. Interest Score: 2.4398, Positive Sentiment: 0.0915, Negative Sentiment 0.4880

Fundamentals of Self-Service Machine Learning

The recent organizational push for self-service Business Intelligence has helped the next challenge for business users become an increasing need. How to tackle the issue of having Machine Learning (ML) models embedded in all major analytics platforms? On the one hand, embedded models offer greater freedom and control over data analysis; on the other hand, confronting the native ML intelligence of these platforms is posing new risks and opportunities for ordinary users. Without having the requisite background in Data Science or Artificial Intelligence (AI), how will these users or aspiring citizen data scientists prepare themselves for self-service Machine Leaning? The Gartner article 5 Ways Data Science and Machine Learning Impact Business discusses how Data Science and Machine Learning together are becoming the core differentiators between businesses that survive and those that don’t. 2019-05-28 07:35:07+00:00 Read the full story. Interest Score: 2.3795, Positive Sentiment: 0.1700, Negative Sentiment 0.1821

Stradigi AI Launches Kepler, One of the World’s Most Advanced AI Platforms

Stradigi AI Launches Kepler, One of the World’s Most Advanced AI Platforms, Appoints will.i.am as AI Advisor, Bias and Ethics Kepler is a state-of-the art Machine Learning Platform composed of a set of tools and a smart engine that empowers users to build and execute solutions to complex business challenges faster and in a secure way, will.i.am will advise the Montreal company about Bias and Ethics issues in AI Stradigi AI, a leading Montreal-based artificial intelligence solutions company, today officially launched Kepler, one of the world’s most advanced AI platforms, at C2 Montréal. Stradigi AI’s industry-leading research team, headed by Carolina Bessega, PhD and Jaime Camacaro, PhD, develops cutting-edge AI algorithms to identify and solve complex business challenges for both business and governments. Stradigi AI’s unique platform houses powerful, state-of-the-art AI solutions that are ready to scale and be adapted across industries including retail, finance, insurance and health, driving rapid ROI and tangible results for its users. 2019-05-27 07:15:26+00:00 Read the full story. Interest Score: 2.3231, Positive Sentiment: 0.4322, Negative Sentiment 0.1080

Data Management: Still a Major Obstacle to AI Success

Data is the lifeblood of AI. Without good data, machine learning algorithms have no way to determine a normal distribution of activities, occurrences, or events. However, only about one in five businesses have data that’s fit for AI and is being used for that purpose, according a new report from Figure Eight. On Tuesday, Figure Eight (formerly CrowdFlower) released “The State of AI and Machine Learning,” a new report based on surveys of 300 individuals who are involved in AI and machine learning projects. The study highlighted both the progress that companies have made in AI and the obstacles that remain. The lack of well-organized, cleansed, and annotated data is a major impediment to AI at this point in time, according to the survey, which found that organizations’ data catalogs were all over the map. While only 2% of survey respondents said their data was “completely unusable,” the state of organizations’ data was far from ideal. The report found that data was in varying states of disarray (at least from an AI-usability point of view), with some organizations having organized data but not accessible, or accessible data but not annotated. 2019-05-22 00:00:00 Read the full story. Interest Score: 2.2654, Positive Sentiment: 0.1245, Negative Sentiment 0.2987

Top 10 tech tips and tools that data scientists should know

Data science is one of the fastest growing careers in the world. We have considerably more data than we do scientists capable of mining, processing it and making sense of the data we have already generated and are going to generate in the next few decades. In this article, we cover ten tech tips for data scientists, including useful tools and apps, that should make data science work somewhat easier…
  1. Amazon Web Service (AWS) Lambada
  2. Python
  3. Feature engineering and Featuretools
  4. Build micro-services with Flask
  5. PySpark
  6. RapidMiner
  7. Amazon Athena
  8. KNIME Analytics Platform
  9. Google Fusion Tables
  10. Microsoft Power BI
2019-05-24 11:56:20+00:00 Read the full story. Interest Score: 2.2259, Positive Sentiment: 0.2473, Negative Sentiment 0.1031

Canadian institutional investors are seeking to further increase their overall allocations to alternative investment strategies, including real estate, private equity, infrastructure, private debt and hedge funds.

The new study “Race for Assets: Canada vs the World,” published by CIBC Mellon, found that among the various alternative sub-asset classes, real estate (42 per cent) is most favoured among Canadian investors surveyed, followed by infrastructure (20 per cent), private equity (18.7 per cent), private debt / loans (17.9 per cent), and hedge fund investments (1.4 per cent). Private equity led the way in terms of satisfaction, with 47 per cent of respondents saying performance exceeded expectations and the remainder finding the class performing as expected. 2019-05-27 00:00:00 Read the full story. Interest Score: 2.2088, Positive Sentiment: 0.2677, Negative Sentiment 0.0000

Exegy Wins Multiple Awards from Inside Market Data and Inside Reference Data

ST. LOUIS – 22 May 2019 – Exegy Inc., the leading provider of managed services and low-latency technology for market data normalization and distribution, announced today that it won multiple awards at the 17th annual Inside Market Data (IMD) and Inside Reference Data Awards. In recognition of Signum – a new real-time trading signals solution delivered as a managed service – the awards included Best Real-Time Data Initiative and Most Innovative Ma… 2019-05-22 00:00:00 Read the full story. Interest Score: 2.1128, Positive Sentiment: 0.4562, Negative Sentiment 0.0480

HSBC Opens Global Data & Innovation Labs

After a global search, HSBC has opened its Global Data & Innovation Lab in Toronto, Canada citing the city’s interest, investment and development of artificial intelligence (AI) and advanced machine learning. The 3,376 square foot energy efficient lab will soon employ over 50 skilled AI professionals, technologists, co-op students and interns, adding to the over 1,500 employees located in Toronto. The state-of-the art research, innovation and development lab will create an AI ecosystem that will use advanced machine learning techniques to analyse up to 10 petabytes of data from 1.6 million corporate and institutional clients from HSBC’s Global Banking and Markets business. This ecosystem will also leverage external capabilities as the team plan to partner with a number of startups, FinTech and AI development houses from across Canada and the globe. 2019-05-23 09:32:50+00:00 Read the full story. Interest Score: 2.0262, Positive Sentiment: 0.3914, Negative Sentiment 0.0230

Accelerating Analytics with GPU Platforms

Due to exponentially growing data stores, organizations today are facing slowdowns and bottlenecks at peak processing times, with queries taking hours or days. Some complex queries simply cannot be executed. Data often requires tedious and time-consuming preparation before queries can be run. David Leichner, CMO, SQream, demonstrated how the power of GPUs can help conquer these challenges with his presentation, “Accelerating Analytics in a New Era of Data,” during Data Summit 2019. 2019-05-24 00:00:00 Read the full story. Interest Score: 2.0215, Positive Sentiment: 0.0632, Negative Sentiment 0.2527

Fenergo Helps Financial Institutions Improve Efficiencies with New Suite of Client Lifecycle Management Tools

Digital Client Orchestration enables a faster, more efficient, omni-channel customer experience Dublin, 22nd May 2019 – Fenergo, a leading provider of digital Client Lifecycle Management (CLM) solutions for financial institutions, today announces the launch of Digital Client Orchestration, a suite of CLM tools that integrates front, middle and back office systems using an API-led approach. 2019-05-22 00:00:00 Read the full story. Interest Score: 1.9628, Positive Sentiment: 0.4079, Negative Sentiment 0.2039

How Tredence Gets It Right When It Comes To Building ML Models

AI has become the pillar of growth for companies when it comes to maintaining relevance as well as an edge over the competition. What’s more, AI based models have become the new revenue drivers for companies looking to capitalise on data as a competitive advantage. The rise in algorithmically driven successes can be attributed primarily to enhancements on the hardware side. Big data tools and an infrastructure based on both on-premise and cloud services, have paved the way for this fully evolved AIML ecosystem. According to a study, AI is the next digital frontier and organisations that leverage models have a 7.5% profit margin advantage over their peers. With AI models becoming the key pillar for building valuable IP and revenue, Tredence shows the way with a new approach to model management. With more research being plowed into tweaking neural networks, businesses face a bunch of tricky questions-how profitable it is to go full ML? Is the available compute infrastructure sufficient enough to take the leap? Can the deployed model adjust to the changing grounds and business requirements? 2019-05-27 06:30:43+00:00 Read the full story. Interest Score: 1.9514, Positive Sentiment: 0.2484, Negative Sentiment 0.1064  

Why You Need to Learn SQL if You Want a Job in Data

 
  1. SQL is used everywhere.
  2. It’s in high demand because so many companies use it.
  3. Although there are alternatives, SQL is not going anywhere.
SQL is old. There, I said it. I first heard about SQL in 1997. I was in high school, and as part of a computing class we were working with databases in Microsoft Access. The computers we used were outdated, and the class was boring. Even then, it seemed that SQL was ancient. SQL dates back almost 50 years to 1970 when Edgar Codd, a computer scientist working for IBM, wrote a paper describing a new system for organizing data in databases. By the end of the decade, several prototypes of Codd’s system had been built, and a query language — the Structured Query Language (SQL) — was born to interact with these databases. In the years since, it has been widely adopted. Learning SQL — which is pronounced either “sequel” or “S.Q.L.”, by the way — has been a rite of passage for programmers who need to work with databases for decades. 2019-05-20 17:00:33+00:00 Read the full story. Interest Score: 1.9069, Positive Sentiment: 0.2069, Negative Sentiment 0.1478

Why Learning Rate Is Crucial In Deep Learning

A key balancing act in machine learning is choosing an appropriate level of model complexity: if the model is too complex, it will fit the data used to construct the model very well but generalise poorly to unseen data (overfitting); if the complexity is too low the model won’t capture all the information in the data (underfitting). In deep learning or machine learning scenarios, model performance depends heavily on the hyperparameter values selected. The goal of hyperparameter exploration is to search across various hyperparameter configurations to find a configuration that results in the best performance. Typically, the hyperparameter exploration process is painstakingly manual, given that the search space is vast and evaluation of each configuration can be expensive. Hyperparameters help answer questions like:
  • The depth of the decision tree
  • How many trees are required in random forest
  • How many layers should a neural network have
  • The learning rate for gradient descent method
2019-05-28 05:38:11+00:00 Read the full story. Interest Score: 1.8950, Positive Sentiment: 0.0729, Negative Sentiment 0.1458

MarketAxess To Extend Live Markets To Europe in 2020

Richard Schiffman, head of Open Trading at MarketAxess, said the firm expects to extend its new Live Markets protocol to Eurobonds in the first quarter of next year to help fixed income trading become more automated. The electronic fixed income trading venue launched Open Trading in 2013 to allow sellside and buy-side participants to both supply and take liquidity. In the first quarter of this year Open Trading volume was $134bn (€120bn), two-t… 2019-05-22 16:41:04+00:00 Read the full story. Interest Score: 1.8476, Positive Sentiment: 0.1848, Negative Sentiment 0.0308

Transparent and controlled AI-powered client lifecycle management &…

Artificial intelligence (AI) is being used throughout digital transformation initiatives and is changing how banks perform client on-boarding, anti-money laundering (AML) and know-your-customer (KYC) compliance. Additionally, for the purposes of anti-money laundering, artificial intelligence systems can mine large amounts of transaction data and identify with better accuracy risk-relevant facts, thereby reducing work an… 2019-05-24 13:48:36 Read the full story. Interest Score: 1.8214, Positive Sentiment: 0.4180, Negative Sentiment 0.2389

Syncsort Introduces Real-Time Streaming Solution

Syncsort, the provider of Big Iron to Big Data software, is introducing Connect CDC, a new real-time change data capture and data replication product that enables organizations to stream application data. By making all mission-critical application data accessible in real time, organizations can empower business users across the enterprise to make decisions based on information when it’s most relevant and valuable. “In a recent Syncsort surv… 2019-05-23 00:00:00 Read the full story. Interest Score: 1.8031, Positive Sentiment: 0.3236, Negative Sentiment 0.3236

A Brief History of Natural Language Processing (NLP)

In the early 1900s, a Swiss linguistics professor named Ferdinand de Saussure died, and in the process, almost deprived the world of the concept of “Language as a Science.” From 1906 to 1911, Professor Saussure offered three courses at the University of Geneva, where he developed an approach describing languages as “systems.” Within the language, a sound represents a concept – a concept that shifts meaning as the context changes. He argued that … 2019-05-22 07:35:59+00:00 Read the full story. Interest Score: 1.8006, Positive Sentiment: 0.1221, Negative Sentiment 0.1221

Preparing for the Rise of Artificial Intelligence at Data Summit 2019

Depending on who you talk to, AI will either enable massive productivity gains from your employees or replace them entirely. All the debating aside, AI is coming, and companies need to understand how to harness it. Seth Earley, founder and CEO, Earley Information Science, focused on the rise of AI during his session, “No AI Without IA,” at Data Summit 2019. Despite the promise of “plug and play” technology, real AI requires varying degrees of information architecture (IA), knowledge engineering, product and content architecture, and high-quality data sources to be effective. Artificial Intelligence is an evolution of technologies that have been around for decades, Earley explained. Artificial Intelligence requires a solid foundation in information management principles. Knowledge engineering can produce ROI today while preparing for an AI future. “You can’t automate a mess and you can’t automate something you don’t understand,” Earley said. 2019-05-21 00:00:00 Read the full story. Interest Score: 1.7558, Positive Sentiment: 0.2042, Negative Sentiment 0.3267

Imperative Execution Eyes Implicit Cost Controls

Although equities commissions have fallen over the past decade and backers of the Members Exchange seek to shrink exchange fees further, reining in explicit trading costs is only the tip of reducing overall trading costs. Implicit trading cost, such as implementation shortfall and adverse selection, average approximately 90 percent of the total cost of a trade, according to global cost research issued by agency brokerage ITG before its acquisiti… 2019-05-21 14:21:43+00:00 Read the full story. Interest Score: 1.7551, Positive Sentiment: 0.0382, Negative Sentiment 0.3052

AI, ML, Data Science, Big Data Or Deep learning: What Should You Study Now?

What’s in a name, a ‘Rose’ with any other name would smell the same – holds good for the terms AI, ML and Data Sciences which are being synonymously used in the industry today. Years ago, EMC named it Data Science, IBM called it Big Data Analytics and Google christened it as AI/ML. Essentially the underlying objective and concept are the same across all three terms or “In things” in the industry today. A look back at how it all started, post World War II – a group of enthusiasts conceptualized and wanted to create an Artificial Brain and they called themselves – AI Guys. Then within the group, a subset started thinking that the brain does a lot more than just working on Data and Intelligence derived from data. It had limitations that needed quantifiable data points. “Who will I fall in love with next?” This is not an answerable question based on data perhaps!! “But does this prospect suit the job?” is an answerable question based on the data. The sub group then fixed their objectives to Data Driven Intelligence only and called their field ML (Machine Learning). 2019-05-24 09:21:14+00:00 Read the full story. Interest Score: 1.7506, Positive Sentiment: 0.1967, Negative Sentiment 0.0983

The Evolution of Big Data Analytics

At Data Summit 2019, Matthew Deyette, chief customer officer, presented a keynote titled The Evolution of Big Data Analytics, Data Summit 2019. Data availability for AI, regardless of what the goal is, is a critical problem, said Deyette. The AI-driven economy needs data diversity, but what we have now is a state of chaos, he said. It is not that there is no order, but that the order is segmented in silos, and ETL processes are slow and difficult to scale. “We are not going to get rid of silos and individual technologies,” said Deyette, since many of these silos have been built up over years, and users have preferences for tools and technologies, and the result is that less than half of data collected is used and 90% of data lakes are delayed or over-budget. Access to data quality is the number-one roadblock for AI, said Deyette. 2019-05-21 00:00:00 Read the full story. Interest Score: 1.7415, Positive Sentiment: 0.0670, Negative Sentiment 0.4019

What Boards Need to Know About AI

Being a board member is a hard job — ask anyone who has ever been one. Company directors have to understand the nature of the business, review documents, engage in meaningful conversation with CEOs, and give feedback while still maintaining positive relationships with management. These are all hard things to balance. But, normally, boards don’t have to get involved with individual operational projects, especially technical ones. In fact, a majority of boards have very few members who are comfortable with advanced technology, and this generally has little impact on the company. This is about to change, thanks to machine learning and artificial intelligence. More than half of technology executives in the 2019 Gartner CIO Survey say they intend to employ AI before the end of 2020, up from 14% today. If you’re moving too slowly, a competitor could use AI to put you out of business. But if you move too quickly, you risk taking an approach the company doesn’t truly know how to manage. In a recent report by NewVantage Partners, 75% of companies cited fear of disruption from data-driven digital competitors as the top reason they’re investing. 2019-05-24 14:00:51+00:00 Read the full story. Interest Score: 1.6886, Positive Sentiment: 0.3127, Negative Sentiment 0.1720

A Complete Tutorial On Implementing Lasso Regression In Python With MachineHack Data Science Hackathon

When we talk about Machine Learning or Data Science or any process that involves predictive analysis using data — regression, overfitting and regularization are terms that are often used. Understanding regularization and the methods to regularize can have a big impact on a Predictive Model in producing reliable and low variance predictions. In this article, we will learn to implement one of the key regularization techniques in Machine Learning using scikit learn and python. 2019-05-27 11:03:19+00:00 Read the full story. Interest Score: 1.6754, Positive Sentiment: 0.0779, Negative Sentiment 0.2533

The Art and Science of Conversational Banking with AI

With high-tech Conversational Banking platforms, the art is designing a great experience centered on words – written and spoken. This represents a shift from traditional design (which focuses on content, graphics, and buttons) to recognizing what a customer is asking, maintaining the context of the conversation, providing relevant responses, and performing actions for the customer. A catalyst for this trend is today’s age of “hyper personalizati… 2019-05-23 14:03:26 Read the full story. Interest Score: 1.6310, Positive Sentiment: 0.3656, Negative Sentiment 0.0281

Solving Business Intelligence Problems with AI

AI is already having a significant impact for the U.S. government, including defense and intelligence community use cases, and is also providing game-changing capabilities for global enterprises in a range of industries, including financial services, life sciences, and technology. In a presentation at Data Summit 2019, titled “Solving Business Problems in Government, Financial Services,” Amy Guarino, COO, Kyndi, offered real-world examples of how AI is driving measurable benefits in a range of industry sectors, and discussed the importance of explainable AI to regulated industries like financial services and healthcare, where being able to justify the reasoning behind algorithmic decisions is essential. In government, AI is being used by defense specialists to determine which academic papers on new technologies are pertinent so they can spend less time reviewing papers that are not relevant and deliver results faster. In life sciences, it is helping to uncover hidden relationships and insights in the forest of big data, and in financial services it is helping organizations improve customer service, improve fraud detection, and speed up processes such as mortgage and credit card applications. 2019-05-22 00:00:00 Read the full story. Interest Score: 1.6135, Positive Sentiment: 0.2361, Negative Sentiment 0.3148

Cybersecurity’s Future is Data-Driven: Using UEBA to Thwart Threats

User and entity behavior analytics (UEBA) is one of the fastest-growing areas within enterprise security, growing at a compound annual growth rate of 48 percent per year, according to Gartner. Modern enterprise IT security solutions use this technology to detect and remediate advanced threats that are unable to be addressed by legacy solutions. EBA solutions use a different approach with variations of artificial intelligence and machine learning, advanced analytics, data enrichment, and data science to effectively combat advanced threats. The UEBA solution combines all the data sources together for analysis and automatically synthesizes results. Analysts get a lower volume but higher fidelity feed instead of drowning in alerts. 2019-05-27 07:30:57+00:00 Read the full story. Interest Score: 1.6129, Positive Sentiment: 0.1749, Negative Sentiment 0.5635

UAE Steps Up AI Adoption, Commemorates First Batch Of AI Programme Graduates

The United Arab Emirates is the latest country to jump on the train of adapting to the AI wave. Recently, Sheikh Mohammed bin Rashid Al Maktoum, Prime Minister of the UAE honoured the first batch of students from the AI Programme. He also painted a positive picture for AI in the government. The programme was launched by the UAE National AI programme in partnership with Kellogg College at Oxford University. With the first batch including 94 parti… 2019-05-27 08:23:59+00:00 Read the full story. Interest Score: 1.6121, Positive Sentiment: 0.1897, Negative Sentiment 0.0000

Three ways to boost operational effectiveness in treasury departments

Corporates are constantly working to reign in on spending and create new efficiencies – yet as economic and socio-political uncertainty continues to intensify across the globe, treasury departments are now facing more pressure than ever to spend wisely and demonstrate the ability to produce big savings. According to the 2019 Treasury Perspectives Survey Report compiled by consultancy Strategic Treasurer, there’s been a sharp increase in the numb… 2019-05-23 00:00:00 Read the full story. Interest Score: 1.5261, Positive Sentiment: 0.4754, Negative Sentiment 0.2252

Smart Data Discovery: A Step in the Right Direction for Enterprise Data Strategy

Click to learn more about author Oksana Sokolovsky and Rohit Mahajan. A few years ago, if I told you about “smart data discovery,” you may have thought I was just discussing the latest technology trend. Today, however, you’ve probably heard plenty about it. The technology continues to evolve and is proving to solve many customer use cases. In fact, it is increasingly being used to identify critical data relationships that data professionals can … 2019-05-27 07:35:14+00:00 Read the full story. Interest Score: 1.5175, Positive Sentiment: 0.3035, Negative Sentiment 0.0506

SAP HANA Receives Variety of New Cloud Updates

SAP is introducing new SAP HANA Cloud services, aiming to bring the power and performance of the SAP HANA database to the cloud. SAP HANA Cloud Services and SAP Cloud Platform aim to provide customers access to all SAP and third-party application data, reduce data duplication and offer a single point for security and governance. As a result, decision-makers have live, comprehensive and complete data access as well as confidence that their data … 2019-05-22 00:00:00 Read the full story. Interest Score: 1.5078, Positive Sentiment: 0.2918, Negative Sentiment 0.0486

Is Open Banking being hobbled by outages?

The UK’s Open Banking revolution is being hampered by outages that banks are taking weeks to fix, according to figures from SME lender Growth Street – an analysis that has been categorically refuted by the Open Banking standards setter. Using the Open Banking Implementation Entity’s API Downtime monitoring tool, Growth Street has calculated that Open Banking was only available 83% of the time in the first quarter of 2019. This means that for 500… 2019-05-23 00:01:00 Read the full story. Interest Score: 1.4839, Positive Sentiment: 0.2258, Negative Sentiment 0.4839

Michael Stonebraker on Big Data Upheaval and the 800-Pound Gorilla in the Room

A.M. Turing Award Laureate and database technology pioneer Michael Stonebraker delivered the welcome keynote at Data Summit 2019, titled “Big Data, Technological Disruption, and the 800-Pound Gorilla in the Corner.” Presently, he serves as an advisor to VoltDB and CTO of Paradigm4 and Tamr, Inc. and is an adjunct professor of computer science at M.I.T, where he is co-director of the Intel Science and Technology Center focused on big data. Speaking to the Data Summit audience, Stonebraker touched on many of the considerations and decisions… 2019-05-21 00:00:00 Read the full story. Interest Score: 1.4219, Positive Sentiment: 0.0406, Negative Sentiment 0.2844

Spain A Rising Star In The Startup Scene

a world class tourist destination, Spain is considered to have it all; from a rich vibrant culture, world heritage sights, and a culinary scene fit for any foodie, Spain has something for everyone. On the tech front, Spain is a rising star as its startup scene is becoming the country’s most flourishing sector. However, let us rewind approximately 10 years to the global financial crisis that took the world by storm. Spain was heavily hit by the 2008 global financial crisis, when the housing market crashed, leaving half-finished projects scattered from the suburbs of Madrid to the shores of the Mediterranean coastline. 2019 has been a year filled with optimism for Spain, as three industries have experienced major growth, with a string of successful startups making Spain more than just a dreamy holiday destination (Mobile, AI and Health). 2019-05-25 06:00:03-04:00 Read the full story. Interest Score: 1.3405, Positive Sentiment: 0.3128, Negative Sentiment 0.1787

Former Infosys CEO Vishal Sikka Raises $50 Million For His New AI Startup Vian Systems

According to a report in a financial daily, the undisclosed equity offered for the fundraising of Vian System also includes contribution of certain intellectual property assets. Reportedly, the filing added that two investors already have invested in the offering to Vian Systems that has revenues in the range of $1-$1 million. Sikka, who stepped down as Infosys CEO in August 2017, has always championed AI and analytics. He had once said, “Technology, especially computing technology will provide a halo, a great context around our humanity, which will empower us.” However, he had quit the tech behemoth, following a clash with the company’s other top leaders citing “the distractions, the very public noise around us” in his personal blog post. 2019-05-21 12:44:32+00:00 Read the full story. Interest Score: 1.3221, Positive Sentiment: 0.2404, Negative Sentiment 0.1803

Arm announces its new premium CPU and GPU designs – TechCrunch

Arm, the company that designs the basic chip architecture for most of the world’s smartphones, today announced the launch of its next suite of designs for premium phones. It’ll be a while before you’ll see the first phones that use chips based on this design, but typically we see the first actual chips before the end of the year. With this launch, the company is announcing the Cortex-A77 CPU, the Mali-G77 GPU and a more energy efficient and powerful machine learning processor. Given recent trends, it’s no surprise that the new Cortex-A77 doesn’t only focus on overall performance improvements, though the company’s promise of 20% IPC performance improvement over the last generation is nothing to sneer at. Thanks to a combination of hardware and software optimizations, the Cortex-A77 now promises significantly better machine learning performance, too. 2019-05-26 00:00:00 Read the full story. Interest Score: 1.3043, Positive Sentiment: 0.4710, Negative Sentiment 0.0362

Risk Management of AI and Algorithms for Organizations, Societies and Our Digital Future

Two technology entrepreneurs and thought leaders, Bob Gourley and Dr. David Bray, recently spoke with AI Trends Editor John Desmond about managing the risk of AI rollouts, addressing security of the organization and realizing the benefits of new AI technologies. Gourley is an experienced CTO and entrepreneur with extensive past performance in enterprise IT, corporate cybersecurity and data analytics. Creator and publisher of the widely read CTOvision site and co-founder of OODA LLC, a unique team of international experts capable of providing in advanced intelligence and analysis, strategy and planning support, investment and due diligence, risk and threat management. Among past positions, he has served as the CTO for the Defense Intelligence Agency. Bray also is a C-Suite leader with experience in bioterrorism response, thinking differently on humanitarian efforts and crafting national security strategies, as well as leading a national commission focused on the U.S. Intelligence Community’s research and development and leading large-scale digital transformations. He has advised six different startups and is Executive Director for the People Centered Internet coalition provides support, expertise, and funding for demonstration projects that measurably improve people’s lives. 2019-05-24 14:45:13+00:00 Read the full story. Interest Score: 1.2832, Positive Sentiment: 0.1560, Negative Sentiment 0.3899

3 important ways that AI is helping e-commerce stores dramatically increase conversions

What makes a successful online business? Certainly, there is no one clear answer. There are many (not-so-secret) secrets to selling online successfully – including offering great customer service, excellent products, strong marketing, and so on. However, in today’s fiercely competitive e-commerce market, features like these are give-ins. Online businesses need more support and help if they are going to capture their audience’s attention and turn them into paying customers. When it comes to e-commerce, AI is becoming an integral part of many online businesses. It is even predicted by a study from Gartner that by next year, 85% of online customer interactions will be handled through AI technology. Most notably, AI is being used to support the most basic business goal: increase conversions. This same study also noted that when companies added AI to the mix, conversion rates grew by up to 30%. 2019-05-28 08:36:10+00:00 Read the full story. Interest Score: 1.2424, Positive Sentiment: 0.2616, Negative Sentiment 0.1635

Big Data Offers New Solutions for Disaster Mitigation Planning

Organizations are using big data to solve many of their most pressing challenges. Some big data applications have received considerably more attention than others. Marketing and finance are two of the functions that are most dependent on big data. However, there are other benefits of big data that are just as important but receive far less publicity. Disaster planning is one of the areas that can benefit from big data solutions. Big data can help organizations prepare for massive, unexpected disasters that can cost millions of dollars, as well as minor, recurring incidents that collectively have significant costs. Here are some ways that prudent organizations are utilizing big data for their contingency plans. 2019-05-21 22:43:32+00:00 Read the full story. Interest Score: 1.2263, Positive Sentiment: 0.3126, Negative Sentiment 0.5530

How Big Data Offers Better Electronic Signature Solutions

Big data is changing the future of professional communications. We have previously discussed the way that organizations use big data to stream communications through Skype and VoIP services. However, big data is also playing an important role in validating documents as well. Hacker Moon addressed the importance of improving security with electronic signatures, especially in the healthcare and financial sectors. Big data developments will make this easier. 2019-05-23 20:54:37+00:00 Read the full story. Interest Score: 1.1476, Positive Sentiment: 0.3001, Negative Sentiment 0.1412

HSBC taps AI to simplify procurement process

HSBC has signed on to use Globality’s artificial intelligence-based platform for sourcing and procurement of services. The bank is tapping Globality’s technology to let its business stakeholders do self-serve procurement, scoping projects in hours rather than days, matching their unique requirements to suppliers around the world. Using the AI-based platform rather than mostly analog legacy systems will help HSBC save costs, increase collaboration and sp… 2019-05-21 18:22:00 Read the full story. Interest Score: 1.1166, Positive Sentiment: 0.2481, Negative Sentiment 0.1241

Why Sizmek’s Ad Server Shouldn’t End Up With Amazon

Serving ads . . . sounds boring, right? And on its face, it is. Ad servers are the pipes of digital advertising — they (virtually) move content or ad creatives into empty slots on a publisher’s pages and keep track of how many times they did it. So it’s no wonder that most of the adtech companies I talk with see the ad-serving market as unglamorous, unattractive, and commoditized. But we think that’s a shortsighted view. Because if you’re the ad server, you touch more impressions than anyone else in a marketer’s adtech stack and you see and touch all of that data. You get to decide what creative gets served on each and every impression. You get to oversee the allocation of conversion credit. You are a source of decisions and of truth. So why are we talking about Sizmek, Amazon, and ad-serving? Because of the recent news that Amazon was exploring the acquisition of floundering adtech company Sizmek’s ad server. This is big news, as Amazon has become the new darling of digital advertising, going from zero to hero virtually overnight. It raked in a staggering $10 billion in 2018, beating even our heady growth projections. Why would Amazon want to buy Sizmek’s ad server? There are a few reasons: 2019-05-24 15:33:13-04:00 Read the full story. Interest Score: 1.0892, Positive Sentiment: 0.2075, Negative Sentiment 0.1556

The Future Computed: AI and Manufacturing

Today, Microsoft is releasing The Future Computed: AI and Manufacturing. This new book provides an in-depth look at how artificial intelligence (AI) is transforming the manufacturing sector by optimizing digital operations and driving efficiencies, enabling new products and services, and allowing for safer work environments. The book also offers a timely look at how society can respond to some of the challenges AI creates, and the need to develop new laws and regulations to address workforce disruption and develop AI in an ethical and re… 2019-05-22 00:00:00 Read the full story. Interest Score: 1.0866, Positive Sentiment: 0.2578, Negative Sentiment 0.1289

Making Annuities Friendlier, With Insurtech

Robo advisors and chatbots can definitely provide value to advisors. Though they can’t yet replace these financial professionals and the value they bring to the table – a unique combination of relationships, trust and personalized service – today’s advisors do need to effectively engage through digital channels with their customers, whether digital natives or members of any generation. Right now, annuities a… 2019-05-22 00:00:00 Read the full story. Interest Score: 1.0865, Positive Sentiment: 0.2414, Negative Sentiment 0.0402

Arm reveals new CPU, GPU, and machine learning processor for 5G world

Arm has introduced new versions of its designs for heavy-duty central processing units (CPUs), graphics chips, and machine learning chips. The company made the announcement at the Computex tech trade show in Taiwan. The Cambridge, England-based company announced the Arm Cortex-A77 CPU, the Arm Mali-G77 graphics processing unit (GPU), and the Arm Machine Learning processor. Those new chips will help the company prepare for the 5G wireless networking era. “We’ve followed 5G for a number of years, and we are excited to see [wh… 2019-05-26 00:00:00 Read the full story. Interest Score: 1.0433, Positive Sentiment: 0.5738, Negative Sentiment 0.0000

Big data & the internet: how ISPs are using analytics to help customers

Over the last several years, there’s been plenty of media coverage centered around all of the ways that internet service providers (ISPs) have taken advantage of big data to create new profit centers in their operations. In some cases, they’ve used it to power highly targeted online advertising platforms. And in others, they’ve used it to figure out exactly how much they could charge in particular areas before customers would start to cancel their services. The one thing that most of the coverage surrounding ISPs and big data have in common is obvious: it’s that I… 2019-05-27 09:24:25+00:00 Read the full story. Interest Score: 1.0282, Positive Sentiment: 0.1851, Negative Sentiment 0.3085

How big data is disrupting the semiconductor and electronics manufacturing industry

The semiconductor industry has grown exponentially in recent decades, as more devices rely on them to function. Everyone carries around semiconductors in their pocket or purse, in the form of a smartphone or laptop. As the industry continues to change, big data is quickly becoming everyone’s favorite buzzword. How are big data and predictive analytics set to improve the superconductor and electronics industries? The sheer amount of data appearing every day is daunting — more than a single person or even a team could hope to sort through in their lifetime. Big data is the only way companies can keep up with the changing digital landscape. The speed of these changes means companies producing semiconductors and related electronics have no choice but to embrace big data or shut their doors. How is big data improving this industry? 2019-05-24 06:02:53+00:00 Read the full story. Interest Score: 1.0039, Positive Sentiment: 0.3089, Negative Sentiment 0.0965

Kevin Petrie Outlines Key Steps for DataOps Success at Data Summit 2019

DataOps is still a relatively new concept, it combines people, processes, and technology to build and enhance data analytics. At Data Summit 2019 Kevin Petrie, Senior Director of Marketing, Attunity, Inc., explored the the five key steps necessary to be successful with DataOps, including the process and cultural shift required during his session, “Five Key Requirements for DataOps Success.” “We’re a software vendor so we don’t have a magical sword or magical tool that will enable DataOps success but with that said it… 2019-05-24 00:00:00 Read the full story. Interest Score: 0.9939, Positive Sentiment: 0.6074, Negative Sentiment 0.1657

This AI shows what climate change could do to your house by 2050

Climate change has a NIMBY problem. That’s short for “not in my backyard,” and while the threat of a warming world may finally be getting more social and political traction than ever, for most people it’s still something that happens far away, whether it’s at polar ice caps or on distant islands. That’s why some AI researchers from Montreal decided to create a system for generating hyper-personalized visuals about the impact climate change is li… 2019-05-22 09:00:33 Read the full story. Interest Score: 0.9904, Positive Sentiment: 0.0300, Negative Sentiment 0.1501

Data Optimization Facilitates Pinterest And Instagram Marketing

Themarketing profession has been influenced by big data more than almost any other field. Marketers used to make decisions primarily off of conjecture because they didn’t have the detailed analytics capabilities that are available in 2019. In the age of big data, marketers are able to take advantage of much more sophisticated analytics capabilities. This is one of the biggest ways big data is changing marketing. However, marketers using some of the newer inbound platforms are at a bit of a loss. Pinterest and Instagram are two of the biggest examples. Visual social media networks are becoming increasingly popular. In 2019, Pinterest has 250 million active users. This is a significant increase from 170 million just three years earlier.  Marketers are demonstrating more interest in these platforms as the user base grows. Pinterest and Instagram are accumulating a lot more data on their users, which makes it easier for marketers to reach potential customers. 2019-05-22 21:44:12+00:00 Read the full story. Interest Score: 0.9820, Positive Sentiment: 0.3654, Negative Sentiment 0.1142

US takes aim at Chinese surveillance as the trade war becomes a tech war

China and America’s trade war looks more and more like a tech war, and the United States appears to be widening its focus on to another category of Chinese technology: surveillance. The U.S. may put Chinese surveillance equipment company Hikvision on a blacklist that would limit its ability to acquire American components — expanding the tech rivalry between the countries and even bringing attention to the ways China monitors its own people.
  • China continues to build its domestic surveillance capabilities, powered by artificial intelligence and lots of data.
  • Multi-billion dollar technology firms sell their products to the government.
  • The United States is increasingly critical not just of that tech, but of Chinese surveillance itself.
2019-05-27 00:00:00 Read the full story. Interest Score: 0.9723, Positive Sentiment: 0.1031, Negative Sentiment 0.1621

Closer to the Edge: Why Smaller, Better Systems Are Heading to Edge Computing

Forget the cloud, computing is moving closer to the edge. This style of data storage brings information closer to the location of where it is needed instead of far away servers – and it is tipped to increase privacy and security for the user. With smaller and more powerful computers comes smaller and more powerful solutions: And this is certainly what edge computing offers both the vendor and user. Take the Internet of Things for example: vendors have the ability to create cheaper and better devices while users, through edge computing, are able to store their data under personal lock and key. 2019-05-24 11:00:00+00:00 Read the full story. Interest Score: 0.9457, Positive Sentiment: 0.3098, Negative Sentiment 0.0815

Vision, experience and expertise: How 3 leaders at Pareto Intelligence are moving the company forward

The tech that Pareto Intelligence uses, and the challenges it faces, are highly complex. Between the nuances of using natural-language processing, AI and machine learning to boost the financial efficiency of entities in the healthcare space — an industry rife with its own knots and intricacies — the company has its hands full. Pareto’s leadership is tasked with guiding teams as they maneuver through the thick weeds of tech and healthcare, and a few members of their C-suite chatted with us about their tactics and the tools they use to do so. 2019-05-22 00:00:00 Read the full story. Interest Score: 0.9336, Positive Sentiment: 0.5151, Negative Sentiment 0.2790

Brian Bowman — Why user acquisition is dead and what’s coming next

Brian Bowman, the CEO of Consumer Acquisition, believes that user acquisition as we know it is dead. To be more exact, he believes Facebook and Google third-party adtech is dead, at least compared to the kind of expertise needed by human experts prior to big changes in ad platforms in 2018. Last year, the optimization algorithms for Facebook and Google Universal App Campaigns (UAC) were dramatically improved, leveling the playing field between a… 2019-05-26 00:00:00 Read the full story. Interest Score: 0.9066, Positive Sentiment: 0.5440, Negative Sentiment 0.1360

AWS Ground Station satellite control system is officially open for business

Six months after a sneak preview, Amazon Web Services has just raised the curtain on AWS Ground Station, its cloud-based system for controlling satellites and downloading satellite data. AWS says the service is now generally available, with two ground station installations already hooked into the system and 10 more due to be added later this year. The software platform makes it easy to connect with satellites, upload commands and bring the data… 2019-05-23 16:49:07-07:00 Read the full story. Interest Score: 0.8874, Positive Sentiment: 0.1732, Negative Sentiment 0.0433

Harnessing big data in pediatric research to reimagine healthcare

For many of us, life begins in the hospital—and so does our health data. Health organizations worldwide are amassing more information than ever before from millions of patients throughout their lifetimes. Wrangling massive volumes of health data—from smart devices, medical devices, electronic medical records and community health systems—is no small task, but cloud computing offers researchers a promising way to tap into this resource to achieve m… 2019-05-21 00:00:00 Read the full story. Interest Score: 0.8649, Positive Sentiment: 0.3342, Negative Sentiment 0.1376  

Why Machine Learning And Progressive Web Apps Are A Great Match

Machine learning is playing an increasingly important role in web development.Responsive web design practices first started becoming popular around seven years ago. However, advances in machine learning have made them much more robust. One of the most important ways that machine learning is changing the Internet user experience is with the development of progressive web applications (PWAs). Info World published an article about the importance of PWAs last year. The authors pointed out that PWAs solve many of the key problems with traditional online apps. They are still a relatively new concept, but PWAs have already proven their versatility and started improving the user experience. Machine learning technology is going to be vital to the future of PWAs. It will make it easier for PWA development teams to ensure every user has the highest quality experience. 2019-05-25 00:21:01+00:00 Read the full story. Interest Score: 0.7343, Positive Sentiment: 0.4752, Negative Sentiment 0.2376  
This news clip post is produced algorithmically based upon CloudQuant’s list of sites and focus items we find interesting. We used natural language processing (NLP) to determine an interest score, and to calculate the sentiment of the linked article using the Loughran and McDonald Sentiment Word Lists. If you would like to add your blog or website to our search crawler, please email customer_success@cloudquant.com. We welcome all contributors. This news clip and any CloudQuant comment is for information and illustrative purposes only. It is not, and should not be regarded as “investment advice” or as a “recommendation” regarding a course of action. This information is provided with the understanding that CloudQuant is not acting in a fiduciary or advisory capacity under any contract with you, or any applicable law or regulation. You are responsible to make your own independent decision with respect to any course of action based on the content of this post.