Operationalizing ML/AI with MemSQL (Practical AI #94)

A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about how people are integrating ML/AI inference at scale into existing SQL-based workflows. He also touches on how model features and raw files can be managed and integrated with distributed databases.

A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about how people are integrating ML/AI inference at scale into existing SQL-based workflows. He also touches on how model features and raw files can be managed and integrated with distributed databases.

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Featuring:

Nikita Shamgunov – Twitter, WebsiteDaniel Whitenack – Twitter, GitHub, Website

Show Notes:

MemSQL
MemSQL’s ML/AI capabilities
MemSQL’s recent AI/ML e-book
Contact tracing case study with MemSQL and True Digital

Something missing or broken? PRs welcome!