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Showing posts with the label machine learning

Artificial Intelligence: Revolutionizing the Mobile App Industry

  Data is the new currency or the most valuable currency for that matter, and no one can dispute it. No matter how small your business is, you have to build the analytical ability to harness data to get invaluable business insights.  And to get hold of this analytical ability, you need Artificial Intelligence integrated into your operations. AI is the tool that helps you get insights that can help your business to deliver in-person services. Today, not a single business domain is untouched by the effect of AI, so mobile app development is certainly not an exception.  If you know, the entire concept of mobile apps revolves around to cater user needs for accessibility and ease. Here AI comes into play as it reduces the user's extra effort of browsing through the mobile app.  The implementation of AI is smoothly transforming the landscape of the industry and paving the way for new & better possibilities.  Mobile app development company  are getting smarter...

Intel has acquired Cnvrg.io, a platform to manage, build and automate machine learning

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Intel continues to splinter up startups to build out its machine learning and AI operations. In the latest activity, Mobcoder has learned that the chip giant has acquired Cnvrg.io, an Israeli company that has built and operates a platform for data scientists to build and run machine learning models, which can be used to train and track multiple models and run comparisons on them, build recommendations and more.   Intel is not disclosing any financial terms of the deal, nor who from the startup will join Intel. Cnvrg, co-founded by Yochay Ettun (CEO) and Leah Forkosh Kolben, had raised $8 million from investors that include Hanaco Venture Capital and Jerusalem Venture Partners, and PitchBook estimates that it was valued at around $17 million in its last round.    It was only a week ago that Intel made another acquisition to boost its AI business, also in the area of machine learning modeling: it picked up SigOpt, which had developed an optimization platform to run...