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The AI Eye: Humana (NYSE: $HUM) and Microsoft (Nasdaq: $MSFT) Partner to Build Health Solutions, Wipro's (NYSE: $WIT) Topcoder Adds Data Science and AI Features to Platform


Point Roberts, WA and Vancouver, BC - October 21, 2019 ( Newswire) (, a global investor news source covering Artificial Intelligence (AI) brings you today's edition of The AI Eye - watching stock news, deal tracker and advancements in artificial intelligence.

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The #AI Eye: Humana (NYSE: $HUM) and Microsoft (Nasdaq: $MSFT) Partner to Build Health Solutions, Wipro's (NYSE: $WIT) Topcoder Adds Data Science and AI Features to Platform


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Today's Column - The AI Eye - Watching stock news, deal tracker and advancements in artificial intelligence

Stocks discussed: (NYSE:HUM) (NasdaqGS:MSFT) (NYSE:WIT) (NasdaqGS:TER)

Humana Inc. (NYSE:HUM) and Microsoft (NasdaqGS:MSFT) have announced a strategic partnership to "build modern health care solutions for Humana members aimed at improving their health outcomes and making their health care experiences simpler to navigate". Leveraging Microsoft's Azure cloud, Azure AI, and Microsoft 365 collaboration technologies, the companies will foster predictive solutions and intelligent automation to improve its members' care. Heather Cox, chief of Digital Health & Analytics at Humana, explained:

"Achieving our goal to provide better care experiences and improve our members' health requires strong partnerships that allow us to be smarter, safer and faster in delivering care. The technologies to empower our members to get ahead of their health issues and equip doctors with information exist today. Our partnership with Microsoft gives us a secure space and modern platforms to put these technologies to work for patients and their trusted providers."

Topcoder, a subsidiary of Wipro Limited (NYSE:WIT), has announced the addition of new data science and AI features to the Topcoder Platform. According to the press release, the new platform's features include: native GPU support and the ability to develop advanced analytic solutions with any tool, library or cloud application service. Jayant Prabhu, VP & Global Head of Data, Analytics & AI, Wipro Limited, commented:

"Wipro's expert data science teams and Topcoder crowd models create a complementing, synergetic and differentiated business model for our clients. This innovative model allows companies to leverage the power of innovation and crowdsourcing at scale, as well as increase productivity and efficiencies to solve new classes of problems."

Teradyne, Inc. (NasdaqGS:TER) has entered into a definitive agreement with AutoGuide Mobile Robots, under which the former will acquire the latter for $165 million. According to the press release, AutoGuide is an autonomous mobile robot provider for "material transport of payloads up to 10,000 pounds (4,500 kg) for the manufacturing, warehouse and logistics markets". Rob Sullivan, president and CEO of AutoGuide, commented:

"The combined strength of Teradyne's industrial automation businesses and AutoGuide's product lines offer new opportunities to create end-to-end automation solutions for customers seeking the safest and most productive material-handling operations from a single source. Teradyne's financial strength and global reach will help support AutoGuide's growth, enabling us to maintain our agile approach to the development and deployment of high-value automation systems that bring industry leading value to our customers."

Global AI in Telecommunications Market to Reach $5.64 Billion by the End of 2025

A report from Research Moz finds that the global AI in Telecommunications market is projected to grow from $340 million in 2018 to $5.64 billion by the end of 2025 with a compound annual growth rate (CAGR) of 41.9 percent in the forecast period. An excerpt from the report description reads:

There are a number of different AI technologies that may be useful in telecoms. These include:

Self-optimising networks (SON), where the networks goals and limits are set by designers, and the networks control software works within those boundaries to make the network as efficient as possible;

Deep neural networks may enable machines perform human like tasks, allowing them to help digitalizing the business and providing better customer engagement;

Software defined networks (SDN) and Network Function Virtualisation (NFV) will increase the diversity of possible traffic through the network. Both services and bundles will be able to become more sophisticated, with customers even able to interact with the services behind the network.

As telecom companies are adopting technologies like virtualization, SDN-NFV, orchestration; Artificial Intelligence is going to play a big role in smooth integration of these technologies and automating the networks. Using AI and data analytics, operators will be able to identify and push various services to the customers at the right time, for e.g. in case of post-paid customers, operators must encourage high speed data services and offer tailored data packs when subscriber is running low on data.

Sam Mowers,

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