Sentence examples for machine learning business from inspiring English sources

Intel's primary challenger seems to be Nvidia these days, however, as the graphics card maker has accelerated its AI and machine learning business, while also continuing to delivery industry-leading graphics cards for consumer and enterprise computers.

First fund companies valuation is now at over $600 million, per Version One, and includes Figure1, the Toronto-based healthcare startup that acts as a kind of Instagram for doctors; Mattermark, a machine learning business intelligence company; and social reading platform Wattpad, among others.

So when it comes to machine learning, businesses shouldn't shy away, they should embrace it and make it work for them.

There was the chairman of Google, the chief executives of many of Europe's biggest telecoms firms, politicians from the UK and across Europe, founders of companies ranging from Carphone Warehouse and ARM, to the machine-learning business Deep Mind.

Reardon explained why New York is the best place to build a machine learning based business right now and how he recruits top talent.

"There are exciting opportunities for machine learning in business, and it will be an important tool to help organisations make use of their — and other — data," he is quoted as saying.

The use of machine learning to power business decisions and product recommendations is becoming widespread.

Run through enough attempts and a computer can set spam filters, turn voice recordings and fly a helicopter.The data team at hiQ Labs reckons machine learning can revolutionise business.

"On inspiration [for SwiftKey Flow] the approach we've taken has been inspired by nothing other than our heritage as an NLP [natural language processing] and machine learning language innovation business.

Bill Gates suggested that every time an employee is replaced by a robot, or in most cases software using automation through artificial intelligence or machine learning, that the business owners should have to pay a tax on that, much like the employee would on wages.

In a more recent conversation, Mazin compares searching for machine learning applications for business to uncovering the tip of an iceberg that is forming in real-time, with few existing case studies or pre-packaged products and services from which to model and leverage.