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Monday, August 12, 2019

The #AIEye: Microsoft (Nasdaq: $MSFT) and Jio Join to Digitize India and NICE Ltd (Nasdaq: $NICE) Introduces Reg BI Surveillance Solution

The #AIEye: Microsoft (Nasdaq: $MSFT) and Jio Join to Digitize India and NICE Ltd (Nasdaq: $NICE) Introduces Reg BI Surveillance Solution

#AI and ML in Retail to See 41% CAGR from 2019-2025

Point Roberts WA , Vancouver BC – August 12, 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: (NasdaqGS:MSFT) (NSE:COMPLIANCE) (NasdaqGS:NICE)

Microsoft (NasdaqGS:MSFT) and Reliance Jio Infocomm Limited (Jio), a subsidiary of Reliance Industries Limited (NSE:RELIANCE) have announced an alliance to accelerate the digital transformation of India. According to the press release, the two companies are embarking on a ten-year commitment to “enhance the adoption of leading technologies like data analytics, AI, cognitive services, blockchain, Internet of Things, and edge computing among small and medium enterprises to make them ready to compete and grow, while helping accelerate technology-led GDP growth in India and driving adoption of next-gen technology solutions at scale”. Satya Nadella, CEO of Microsoft, commented:

"We have an incredible opportunity to apply advances in technology to help organizations across India innovate and grow. The combination of Jio's leading connectivity and digital solutions with Azure, Azure AI and Office 365 will bring powerful tools and platforms for compute, storage, productivity and more to millions of businesses in the country."

NICE Ltd. (NasdaqGS:NICE) has introduced Reg BI Surveillance, a solution designed to help broker-dealers manage Regulation Best Interest (Reg BI) compliance obligations. Reg BI was recently passed by the U.S. Securities and Exchanges Commission (SEC) and raises the standard of conduct for broker-dealers with the imposition of  new requirements to ensure transparency and that firms are acting in their clients’ best interest. Reg BI Surveillance leverages Intelligent Analytics powered by machine learning and Natural Language Processing (NLP) to monitor broker-dealer communications to ensure compliance. Chris Wooten, Executive Vice President, NICE, explained:

“Reg BI is the most significant change to suitability regulations in the United States in the past twenty years. Now, firms must monitor all broker-dealer recommendations through the lens of this new regulation. This places an enormous compliance burden on firms that would be difficult to overcome with today’s disjointed technologies and manual processes. As a comprehensive, integrated, turnkey solution, NICE Actimize’s Reg BI Surveillance is an all-in-one solution that automates compliance processes so they’re easier to manage, enabling firms to meet various obligations under Reg BI.”

AI and ML in Retail to See 41% CAGR from 2019-2025

Research from Report Consultant finds that the AI and Machine Learning in Retail market will see a compound annual growth rate (CAGR) of 41 percent in the forecast period 2019-2025, according to a press release published today. An excerpt outlines the market:

Artificial Intelligence and Machine Learning enable Retailers to boost their bottom lines, in part by showing when it’s not necessary to offer a discount. At the same time, these systems give shoppers prices they view as fair and non-arbitrary on the products they care most about. AI and ML deliver such an impact in price and promotion optimization. In pricing, these capabilities can help retailers provide targeted, more personalized prices and offer that factor in shopper sensitivity and competitive elasticity, down to the store-item level. For context, machine learning is essentially a toolkit of different techniques and approaches to solving problems. Just as a specialized tool is only effective in the hands of a skilled artisan or technologist, highly experienced data scientists leverage the knowledge of the tools in their ML toolkit to apply them successfully in the realm of real-world retail pricing and promotions.

Sam Mowers,

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