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Friday, June 14, 2019

The #AIEye: IBM (NYSE: $IBM) Adds AutoAI for Watson Studio, Collaborates with #Wimbledon Using #AI and Cloud and NICE (NASDAQ: $NICE) Unveils AI Engine for New Version of Satmetrix

The #AIEye: IBM (NYSE: $IBM) Adds AutoAI for Watson Studio, Collaborates with #Wimbledon Using #AI and Cloud and NICE (NASDAQ: $NICE) Unveils AI Engine for New Version of Satmetrix

Global Enterprise AI Market to Hit $6.141 Billion by 2025

Point Roberts WA, Vancouver BC – June 14, 2019  – (, 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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Today’s Column- The AI Eye- Watching stock news, deal tracker and advancements in artificial intelligence

Stocks discussed: (NYSE:IBM) (Nasdaq:NICE)

IBM (NYSE:IBM) has added a new set of automation capabilities for its Watson Studio called AutoAI. This development frees up data scientists by automating complicated and laborious tasks associated with designing, optimizing and governing AI in the enterprise. Rob Thomas, General Manager, IBM Data and AI, explained:

"IBM has been working closely with clients as they chart their paths to AI, and one of the first challenges many face is data prep – a foundational step in AI. We have seen that complexity of data infrastructures can be daunting to the most sophisticated companies, but it can be overwhelming for those with little to no technical resources. The automation capabilities we're putting Watson Studio are designed to smooth the process and help clients start building ML models and experiments faster."

Additionally, IBM and the All England Lawn Tennis Club (AELTC), the venue that hosts Wimbledon, have continued their partnership with the announcement of a series of innovations for The Championships 2019 across AI and Cloud. These include an Enhanced AI-powered automated video highlights for Wimbledon fans and the development of a progressive web app. Sam Seddon, IBM Wimbledon Client Executive, said:

"For 30 years we have been working with Wimbledon to introduce new technologies that enhance fan experience. For more than a century, IBM has responsibly ushered into the world revolutionary technologies, building enterprise solutions that are trusted as part of our DNA, and we are dedicated to delivering AI systems that are built responsibly. It seems fitting that to mark the 30th year of our partnership, one of the new innovations for The Championships, Wimbledon 2019 will be eliminating bias in creation of the video highlights package."

NICE Ltd. (NasdaqGS:NICE) has unveiled a new version of its cloud-based customer feedback management solution, NICE Satmetrix. According to the press release, this new version includes “an innovative AI engine to swiftly identify trending topics from customer feedback in real-time, customizable in-product metrics tracking and reporting, and multi-layered no-send rules to avoid survey fatigue and increase response rate”. Barry Cooper, President, NICE Enterprise Group, said:

"The latest NICE Satmetrix release changes the game by enabling organizations to adopt a forward-looking approach to customer experience. With this new version, companies can benefit from customized analytics and KPIs and more easily manage a dynamic program to meet the needs of their complex organization.”

Global Enterprise AI Market to Hit $6.141 Billion by 2025

Research from Report Consultant finds that the global enterprise AI market will grow to $6.141 billion USD by 2025 with a compound annual growth rate (CAGR) of 49 percent, according to the website A Market Research Report. An excerpt from that site reads:

Enterprise AI is the ability to embed AI methodology into the very core of the organization and into the data governance strategy. This means augmenting the work of people across all teams and disciplines with AI for more innovative operations, processes, products, and more. There is and has been an avaricious demand for the Enterprise AI Market in a lot of worldwide associations, so a few market [analysts] have given their time and reason to go to the basis of the trend and see what is the proclivity of this substantial market performance. With the most flourishing research data, investigators could understand the insight of the global market.

Sam Mowers,

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