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Machine learning and artificial intelligence are exciting technologies, but success means excitement about business outcomes, not technology.  Could success make AI boring? In a world where hundreds or thousands of automations are rapidly and repeatedly deployed, operating silently across a business, we imagine today's hype around these technologies dying altogether - as with electricity before them. 

  • Current challenges and opportunities for scaling enterprise ML across many dimensions, including people, process, strategy, and technology

  • What’s required to make the process of building and deploying ML models automated, repeatable and predictable

  • A vision for an enterprise AI platform that turns data into predictions, at any scale, anywhere


General Manager, Machine Learning, Cloudera

Hilary Mason


Hilary Mason is the General Manager for Machine Learning at Cloudera. Previously, she founded Fast Forward Labs, an applied machine learning research and advisory company, which was acquired by Cloudera in 2017. Hilary is the Data Scientist in Residence at Accel Partners, and is on the board of the Anita Borg Institute. Previously, she co-founded, a non-profit that helps engineering students find opportunities in New York's creative technical economy, served on Mayer Bloomberg's Technology Advisory Council, and was the Chief Scientist at Bitly. Hilary can be reached on Twitter @hmason and on LinkedIn.

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