MLOps Coffee Sessions #70 with Reah Miyara, 2022 Predictions for MLOps and the Industry.
// Abstract MLOps has moved fast in the last year. What will 2022 be like in the MLOps ecosystem? Raeh from Arize AI comes on to talk to us about what he expects for the new year.
Arize is kindly offering 20 free subscriptions to their tool. No marketing BS these are design partners. First come first serve https://arize.com/mlops-signup/!
// Bio
Reah Miyara is a Senior Product Manager at Arize AI, a leading ML monitoring and observability platform counted on by top enterprises to track billions of predictions daily. Reah joins Arize from Google AI, where he led product strategy for the Algorithms and Optimization organization. His experience as a team and product leader is extensive, touching a broad cross-section of the AI technology landscape.
Reah played pivotal roles in ML and AI initiatives at Google, IBM Watson, Intuit, and NASA Jet Propulsion Laboratory and his work have directly contributed to many important innovations and successes that have moved the broader industry forward. Reah also co-led the Google Research Responsible AI initiative, confronting the risks of AI being misused and taking steps to minimize
AI’s negative influence on the world.
// Relevant Links
Subscription - https://arize.com/mlops-signup/
https://arize.com/blog/welcome-to-arize-reah/
https://arize.com/blog/best-practices-in-ml-observability-for-monitoring-mitigating-and-preventing-fraud/
https://www.reah.me/
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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Reah on LinkedIn: https://www.linkedin.com/in/reah/
Timestamps:
[00:00] Introduction to Reah Miyara
[01:57] Wrong predictions
[03:41] Real predictions for 2022
[04:00] One: AI fairness and bias issues will get worse before they get better.
[07:27] Two: Enterprises will stop shipping AI blinds
[10:51] Three: The Citizen Data Scientist will rise
[17:07] Four: The ML infrastructure ecosystem will get more complex
[22:28] Five: Unleash the power of unstructured data
[26:34] Six: Robustness of ML Models against changes
[33:18] We want to have the best ML monitoring and observability tool out there.
[34:07] Demetrios' prediction: More talks about laws and regulations will happen but nothing will actually get done.
[35:27] Wrap up
