10 machine learning success stories: An inside look

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IDG AI/Machine Learning Report December 07, 2018

10 machine learning success stories: An inside look IT leaders share how they are using artificial intelligence and machine learning to generate business insights and new services.  Read more ▶

Your Must Read Stories • 10 machine learning success stories: An inside look • 3 ways Mastercard uses AI to fight fraud • A practical guide to KBQ-led enterprise AI strategy • Review: G Suite gets an AI boost • AWS piles on the machine learning services • Does your AI plan account for safety?

White Paper: TekStream Solutions The Essential Guide to Machine Data Digital exhaust. Time-Series Data. Big Data. Whatever you call it, machine data is one of the most underused and undervalued assets of any organization. And, unfortunately, it's usually kept for some minimum amount of time before being tossed out and never looked at again. Read more ▶

3 ways Mastercard uses AI to fight fraud Mastercard leans on cutting-edge AI tools to combat cybersecurity threats at a time when the world is moving toward digital payments facilitated by contextual commerce. Read more ▶

FROM OUR BUSINESS PARTNERS Sign Up for HelloSign and Get Your First Three eSignatures Free Increase revenue and decrease human error with this digital transformation program. Read more ▶

A practical guide to KBQ-led enterprise AI strategy As we approach the peak of the artificial intelligence hype cycle, enterprises need to take a strategic approach to implementing their cutting-edge tech solutions. Read more ▶

Review: G Suite gets an AI boost Several new AI-driven features in G Suite (some still in beta) are aimed at saving users time, facilitating collaboration, and improving security. Read more ▶

AWS piles on the machine learning services Hosted TensorFlow, pay-as-you-go inference serving, reinforcement learning, and automatic data labeling come to the Amazon cloud Read more ▶

Does your AI plan account for safety? It might only take a troublesome naysayer to sabotage an otherwise promising AI program. Read more ▶

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