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AI Eye Episode 434: IBM (NYSE: $IBM) Offers Watson Assistant on Cloud to States to Provide Critical Voting Information

CEVA (NasdaqGS: $CEVA) Partners with to Offer Speech-To-Intent Solutions for Intelligent Edge Devices


Point Roberts, WA and Vancouver, BC - September 17, 2020 ( 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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AI Eye Episode 434: IBM (NYSE: $IBM) Offers Watson Assistant on Cloud to States to Provide Critical Voting Information


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

Stocks discussed: (NYSE:IBM) (NasdaqGS:CEVA)

IBM (NYSE:IBM) is offering Watson Assistant on the IBM public cloud to U.S. states at no charge for 60 days in an effort to deliver "critical voting information to citizens." Leveraging Natural Language Processing (NLP) and Watson Discovery for text analytics, Watson Assistant can "quickly respond to voter questions and requests about the election process," and "advise citizens on everything from finding polling places and voting hours to procedures and deadlines for requesting mail-in ballots, and more." Daniel Hernandez, General Manager, Data and AI, IBM, said:

"Early in the pandemic, we mobilized Watson and its natural language processing technology to help organizations quickly deliver critical information and services to citizens, customers, and employees. With success there and the upcoming U.S. election, we are now mobilizing Watson to manage the flood of information requests and questions from citizens regarding voting logistics and resources."

CEVA, Inc. (NasdaqGS:CEVA) has partnered with AI voice interface software solutions developer to offer ultra-low power speech-to-intent solutions for intelligent edge devices. Moshe Sheier, Vice President of Marketing at CEVA, explained:

"'s speech-to-intent technology with multilanguage support running on our DSPs is ideal for power-constrained intelligent devices where voice is the primary user interface. Having all the speech processing take place on the edge device ensures privacy of the data, low latency and instantaneous response. Together, we are lowering the entry barriers for adding high quality, naturally spoken voice control to any device."

Global Deep Neural Networks Market to Reach $5.98 Billion by 2027

A report published by Emergen Research finds that the global Deep Neural Networks market will grow from $1.26 Billion in 2019 to $5.98 Billion by 2027 with a compound annual growth rate (CAGR) of 21.4 percent in the forecast period 2020-2027. An excerpt from the report description outlines trends driving the market:

The global neural networks market is growing predominantly as the demand for implementing the deep neural network in healthcare and BFSI sectors is flourishing extensively. The rising requirement of the deep learning neural algorithm in clinical diagnosis, image & signal analysis and interpretation, and drug or vaccine development, among others, is propelling the market growth broadly in the current scenario. The BFSI sector sub-segment had the highest market share due to numerous application areas pertaining to financial analysis, predictive costing, risk investigation, and others. Optimization in IT & telecommunication plays a significant role in this market and is forecasted to be in high demand in the forthcoming years due to substantial development in the 5G mobile communication technology for leveraging its capability beyond the existing limit.

Sam Mowers,

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