How can I put my AI /ML into production to drive ROI? What are the best practices for doing production ML? This post covers 5 trends in machine learning ops, as demonstrated at the first production ML conference, USENIX OpML 2019.

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Soon, you might not need anything more specialized than a readily accessible touchscreen device and any existing data sets you have access to in order to build powerful prediction tools. A new experiment from MIT and Brown University researchers have added a capability to their ‘Northstar’ interactive data system that can “instantly generate machine-learning models” […]

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Tomorrow’s businesses won’t thrive without AI. In one form or another, competitive organizations are already using artificial intelligence to automate tasks, improve efficiencies, or drive more revenue. For sales and marketing teams, AI and its subfields have finally fused science into the art of selling. Natural language processing (NLP) for example, can help determine customer intent. Machine learning (ML) can recommend the best response for sellers, and A/B testing can identify the most effective playbook for a scenario or customer demographic. Indeed, the time for pitching AI’s business case in sales has long since passed. Instead, the moment calls for

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Could natural language processing help transform the way in which fact checking results are applied, flagging the individual sentences within articles that are false or misleading, rather than blacklisting entire Websites?

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