Data Science

Google, Atos Partner on Cloud Machine Learning


Google continues to add regional cloud partners as it seeks to differentiate its public cloud offerings while distributing its machine learning building blocks. Atos, the French big data platform and server vendor, announced a partnership with Google Cloud this week addressing secure hybrid cloud, data analytics and machine learning along with "digital workplace" initiatives. Atos (EPA: ATO) said it would establish three machine learning and AI labs in France, U.K. and the U.S. that will use Google's training expertise to develop new machine learning models and applications. "Together, we will enable fast and smooth adoption of AI for enterprises," said Thierry Breton, chairman and CEO of Atos, Bezons, France. "With this partnership, Atos becomes the'last mile' of the digital information chain."

Plasmatic Technologies Inc. Bolsters Advisory Team with Insurance Industry Expertise - Chicago Evening Post


Smart Home Telematics company positions itself to pursue the growing interest among forward-thinking insurance carriers for data-driven insights and customer engagement. VANCOUVER, BC AND NEW YORK CITY, NY – 04-25-2018 (Press Release Jet) -- Plasmatic Technologies (Plasmatic) is pleased to announce the addition of Mike Moen to its advisory team, where he will assist the company as it caters to the tremendous need for innovation in Property and Casualty Insurance. David Sussman, Chief Executive Officer of Plasmatic stated: "We are very excited to enlist Mr. Moen's industry knowledge, deep relationships, and track record in analytics-based businesses. Mike's strong collaboration with our leadership team has already helped validate the appeal of our solutions with decision makers at top insurance carriers and Insurtech scouts in some of the more prominent industry hubs". With over 20 years of experience as an entrepreneur and business executive, the enlistment of Plasmatic's latest advisor is a sign of definitive momentum in the sector, where device-driven insights and mobile experiences are poised to help insurance providers deliver more personalized services and augment their policyholders relationships.

Intel Editorial: One Simple Truth about Artificial Intelligence in Healthcare: It's Already Here


SAN FRANCISCO--(BUSINESS WIRE)--The following is an opinion editorial provided by Navin Shenoy, executive vice president and general manager of the Data Center Group at Intel Corporation. In the wide world of big data, artificial intelligence (AI) holds transformational promise. Everything from manufacturing to transportation to retail to education will be improved through its application. But nowhere is that potential more profound than in healthcare, where every one of us has a stake. What if we could predict the next big disease epidemic, and stop it before it kills?

IBM Watson digs deep on data to pave the way for enterprise AI apps


On Thursday, IBM announced new capabilities for its Watson Data Platform that make it easier for developers and data scientists to analyze and prepare enterprise data for artificial intelligence (AI) applications. By 2018, nearly 75% of developers will build AI functionality into their apps, according to an IDC report. However, this requires wading through increasingly complex data that lives in different places, and must be continually and securely ingested, according to an IBM press release. In response to this challenge, Watson will now include data cataloging and data refining, to improve data visibility and better enforce data security policies so that users can more easily share information across public and private cloud environments. "We are always looking for new ways to gain a more holistic view of our clients' campaign data, and design tailored approaches for each ad and marketing tactic," Michael Kaushansky, chief data officer at global advertising and marketing consultancy Havas, said in the release.

Hyundai Joins the Verisk Data Exchange


About Hyundai Motor America Hyundai Motor America is focused on delivering an outstanding customer experience grounded in design leadership, engineering excellence, and exceptional value in every vehicle we sell. Hyundai's technology-rich product lineup of cars, SUVs, and alternative-powered electric and fuel cell vehicles is backed by Hyundai Assurance-our promise to deliver peace of mind to our customers. Hyundai vehicles are sold and serviced through more than 830 dealerships nationwide, and the majority sold in the U.S. are built at U.S. manufacturing facilities, including Hyundai Motor Manufacturing Alabama. Hyundai Motor America is headquartered in Fountain Valley, California, and is a subsidiary of Hyundai Motor Company of Korea.

Artificial Intelligence (AI) in North America 2018-2023 - NA will Lead the Global AI Market with 34% Market Share by 2023 -


DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence (AI) in North America: AI Market by Platforms, Components, Deployment Mode, Applications, and Industry Verticals 2018 - 2023" report has been added to's offering. Artificial Intelligence (AI) represents machine-based intelligence, typically manifest in "cognitive" functions that humans associate with other human minds. There are a range of different technologies involved in AI including Machine Learning, Natural Language Processing, Deep Learning, and more. One of the primary drivers for AI is automated machine-driven decisions. Consequently, AI is rapidly making its way into many advanced solutions including autonomous vehicles, smart bots, advanced predictive analytics, and more.

Feedzai launches open machine learning engine to fight fraud


Built on Feedzai's distributed microservices architecture, the service allows financial institutions and their data science teams to bring their preferred machine learning modelling and runtime frameworks, including open source, research, or commercial, to the Feedzai platform to fight fraudulent activities. Thus, the open machine learning engine enables the use of any language or environment for data science activities (data scientists no longer have to work in a singular environment dictated by a third-party vendor); leverages emerging algorithms as they become available (data science teams can use pre-written machine learning libraries from any open source); and it enables automated end to end connectivity across the data science ecosystem. Feedzai's OpenML is powering Feedzai's fraud prevention products for customers around the world, including 10 of the top 25 banks in the world, processing more than USD 5 billion in transactions every day. For more information about Feedzai, please check out a detailed profile of this company in our dedicated, industry-specific online company database.

Feedzai Launches "OpenML," an Open Machine Learning Engine to Fight Fraud


WIRE)--Feedzai has launched the Feedzai OpenML Engine, in response to recognizing the need for data science teams to utilize their own tools and expertise. Built on Feedzai's distributed microservices architecture, this powerful service allows data scientists to bring their preferred machine learning modeling and runtime frameworks, including open source, research, or commercial, to the Feedzai platform. Initial product support includes an SDK for Python, R, and Java, and it provides close integration with any open source library, sourcing framework, and modeling environment. The three main innovations in Feedzai's OpenML framework include: "Data scientists shouldn't be forced to comply with closed systems by their legacy vendors, creating unnecessary burdens, and bottlenecks," says Paulo Marques, Feedzai co-founder and CTO. "Feedzai has always worked to make that a thing of the past.

How Big Data Can Use Language To Find The Hidden Reason To Sell A Stock


Traders and financial professionals work at the opening bell on the floor of the New York Stock Exchange (NYSE). It's no secret on Wall Street that a "sell" recommendation in sell-side research reports is exceedingly rare, and it can't be chalked up to today's bull market recently surpassing its ninth birthday. According to FactSet data, only 6% of analyst recommendations on S&P 500 companies are "sell" ratings or the equivalent, lending credence to the notion that conflicts of interest persist despite reform efforts to make recommendations more objective in nature. Put simply, negative recommendations can place an analyst in the virtual penalty box when it comes to getting access to companies, and the effects are clear in a business where access is king. So, is there still use to looking through research reports to figure out which stocks are worth buying and selling?

Applexus Launches Artificial Intelligence Practice to Expand Products and Services Offerings


SEATTLE, April 05, 2018 (GLOBE NEWSWIRE) -- Applexus Technologies, a full-service business and technology solutions company based in the Seattle area, announced the launch of a new Artificial Intelligence (AI) practice to provide AI software and services to clients. The newly launched team is part of Applexus Product and Innovation. The new practice supports a wide variety of AI services and solutions, through custom and packaged solutions, using emerging technologies such as deep learning, machine learning and big data analysis. The Applexus Chief Technologist and AI practice leader is Dr. Thomas Koickal, one of the longest-serving global practitioners of machine learning based technologies. His career of more than 20 years has included work at the University of Edinburgh, UK and Vikram Sarabhai Space Centre, a research center of the Indian Space Research Organization.