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Artificial Intelligence in Precision Medicine Market report offers a comprehensive valuation of the marketplace. It does so via in-depth comprehensions, grateful market growth by pursuing past developments, and studying the present situation and future forecasts based on progressive and likely areas. Each research report supports as a depository of analysis and data for each and every side of the industry, including but not limited to: Regional markets, types, applications, technology developments and the competitive landscape. Artificial intelligence is providing paradigm shift toward precision medicine. Machine learning algorithms are used for genomic sequence and to analyze and draw inferences from

Manufacturers want to get more out of their current assets and investments on the factory floor without increasing costs or decreasing product quality. To do that, they need more visibility and faster reaction times from machines and from the workforce. In addition, the next-generation of workers expect to be using the same kind of mobility and Siri-like interactive interfaces that we experience as consumers. With that in mind, Epicor Software Corp., a maker of enterprise resource planning (ERP) software for manufacturing and distribution, last week introduced Epicor Virtual Agent (EVA), a digital agent designed to help users work smarter.EVA

Artificial Intelligence Market to Reach $26.4 Billion by 2023 The global artificial intelligence (AI) market is expected to grow at a compound annual growth rate (CAGR) of 40% until 2023, according to Beroe Inc. Beroe further estimates that within the next five to seven years, artificial intelligence may replace nearly 50% of unskilled labor across the globe, and one in every five workers will utilize AI in their workflows by 2022. "Global demand for artificial intelligence is increasing at a breakneck pace," said Sridevi Akkarajuvenkata, Customer Success Lead at Beroe Inc. "Perhaps the biggest

The Next TechApr 23AI is changing marketingIn the summer of 1956, 10 scientists and mathematicians gathered at New Hampshire’s Dartmouth College to brainstorm a new concept assistant professor John McCarthy called “artificial intelligence.” According to the original proposal for the research project, McCarthy — along with fellow organizers from Harvard, Bell Labs, and IBM — wanted to explore the idea of programming machines to use language and solve problems for humans while improving over time.It would be years before these lofty objectives were met, but the summer workshop is credited with launching the field of Artificial Intelligence (AI). Sixty years later, cognitive scientists, data