Tuesday, June 18, 2019

The #AIEye: IBM Watson (NYSE: $IBM) Teams with Adweek in Creation of ‘Institute for Brand Marketing’, Cheetah Mobile (NYSE: $CMCM) Launches International Version of #AI Translator

The #AIEye: IBM Watson (NYSE: $IBM) Teams with Adweek in Creation of ‘Institute for Brand Marketing’, Cheetah Mobile (NYSE: $CMCM) Launches International Version of #AI Translator

Global NLP in Healthcare Market to Hit $4.3 Billion by 2025



Point Roberts WA, Vancouver BC – June 18, 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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Today’s Column- The AI Eye- Watching stock news, deal tracker and advancements in artificial intelligence

Stocks discussed: (NYSE:IBM) (NYSE:CMCM) (ASX:BRN)

IBM (NYSE:IBM), along with trade publication Adweek, announced the creation of the Institute for Brand Marketing, a program for marketers. The program, which helps marketers by offering key learning resources, and will be available in September 2019. Randi Stipes, Chief Marketing Officer for IBM Watson Media and Weather, said:

"IBM Watson Advertising and Adweek created this program to help fill a void in the marketplace for marketers who are looking for continual learning and development. We're excited to curate a curriculum designed to give people greater confidence and skills to help them better navigate our constantly evolving industry."

Cheetah Mobile Inc. (NYSE:CMCM) announced the launch of the international version of its handheld AI translation device CM Translator. The CM Translator is powered by AI, machine translation, Neural Text-to-Speech capabilities, and Automatic Speech Recognition. The device supports six languages, including: English, Spanish, Chinese, Japanese, Korean, and Thai. Solomon Lee, VP of AIoT at Cheetah Mobile, commented:

"CM Translator breaks down language barriers with just the click of a button. We designed CM Translator international edition to help American travelers easily communicate abroad when asking directions, shopping, ordering food, and many other situations. CM Translator can also serve as a useful assistant to new immigrants living in the United States. It makes a wonderful gift for parents and grandparents who speak Spanish and Asian languages, but are less confident communicating in English."

BrainChip Holdings Limited (ASX:BRNannounced the availability of its Akida Neural Processing Core (NPC) as intellectual property available for licensing. An excerpt from the press release explains the NPC:

The Akida NPC is now available to license as an IP block for incorporation into ASICs provided by semiconductor suppliers developing Artificial Intelligence enabled “Edge” devices. Applications at the edge include intelligent environmental controls, driver safety monitoring, vehicle safety and preventative maintenance, medical image classification, wearable health monitors, retail item recognition, access control, the industrial Internet-of-Things (IoT) and acoustic analysis.



Global NLP in Healthcare Market to Hit $4.3 Billion by 2025

A report from Transparency Market Research finds that the global natural language processing (NLP) in healthcare market will grow from $936 million in 2015 to $4.3 billion by the end of 2024 with a compound annual growth rate (CAGR) of 18.8 percent. An excerpt from the market preview reads:

The demand for NLP technology is expected to surge in the coming years as it is being used as a strategic tool to derive meaningful comprehensive of clinical informatics for effective outcomes by the healthcare industry. Used as a part of artificial intelligence systems, applications of NLP technologies are being deployed for predictive analysis and clinical decision support systems. The global healthcare natural language processing market is expected to receive an impetus from the uptake of these technologies by several companies for extracting knowledge from several clinic documents via machine learning or deep learning applications. The growing volume of unstructured clinical data and the unstoppable penetration of electronics health record (EHR) systems are expected to fuel the growth of this market in the coming years.

Sam Mowers, Investorideas.com


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