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 – Investorideas.com (www.investorideas.com), 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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to today’s podcast:
Read
this in full at https://www.investorideas.com/news/2019/artificial-intelligence/08121AIEye-MSFT-India-NICE.asp
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,
Investorideas.com
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