Danielle Dean (Microsoft) interviewed at the O'Reilly Artificial Intelligence Conference NY 2019
Interviewat O'Reilly Artificial Intelligence Conference 2019 - New York, New York · 2019-04-15..04-18·
summary
Describes concrete barriers to production AI: difficulty to translate business problems into data science problems, need for end-to-end flows that capture feedback and change processes, and choices about when to adopt new hardware or platforms. Recommends team composition with complementary skills, diversity, mentoring and a fail fast culture. Notes Microsoft product work in Azure and cognitive services, plus tooling to manage all your Python dependencies and deploy and scale models from laptop to cloud.
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chapters (4)
- 0:00Start
- 0:30Making Ai Real
- 3:16What Are some Things To Consider When You'Re Designing Applications To Use Ai
- 4:18How Is Microsoft Helping To Develop the Data Science and a Community
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