EPISODE · Sep 27, 2022 · 38 MIN
Younes Amar and Mohammed Sabri - Operationalized ML and Managing Customer Expectations
from Conversations on Applied AI · host Justin Grammens
NOTE: I am excited to announce that all listeners of the Conversations on Applied AI Podcast are eligible to receive a 50% discount at the 2022 Applied AI Conference! Just use the discount code of "podcast" when purchasing your ticket.The conversation this week is with Younes Amar and Mohammed Sabri. Younes is the head of product at Wallaroo, an enterprise platform for production AI. As a product leader, he is responsible for vision, strategy, and roadmap and for building product teams that use qualitative and quantitative data to deliver effective product designs and experiences. Mohamed Sabri is the founder of Rocket Science and the ML Ops Institute where he is developing the next generation of ml ops engineers using a data science mentor at MIT and wrote a book on data science essentials called Data Science Pocket Guide.If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!Emerging Technologies NorthAppliedAI MeetupResources and Topics Mentioned in this EpisodeWallarooRocket ScienceML Ops InstituteData Science Pocket Guide by Mohammed SabriGoogle Cloud PlatformAmazon Web ServicesJupyter Notebookilluminate-aiEnjoy!Your host,Justin Grammens
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NOTE: I am excited to announce that all listeners of the Conversations on Applied AI Podcast are eligible to receive a 50% discount at the 2022 Applied AI Conference! Just use the discount code of "podcast" when purchasing your ticket. The conversation this week is with Younes Amar and Mohammed Sabri. Younes is the head of product at Wallaroo, an enterprise platform for production AI. As a product leader, he is responsible for vision, strategy, and roadmap and for building product teams that...
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Younes Amar and Mohammed Sabri - Operationalized ML and Managing Customer Expectations
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