Architecting Scalable AI Operations and Avoiding Key Bottlenecks

Presented by

Jim Olsen, ModelOp CTO

About this talk

Scaling AI for an enterprise means more than more data, more compute, bigger speeds and feeds. Enterprise Architects need to accommodate multiple DSML tools, data systems and serving environments. In addition to the migration to cloud or multi-cloud, the dockerization journey, the increasing use of 3rd party AI models and 4th party AI. How do you implement enterprise standards for Operations and Governance, without stifling innovation and adding complexity? Tune into this on-demand session with ModelOp CTO Jim Olsen to gain experienced insight into how to architect scalable AI and navigate common—but significant—bottlenecks that inhibit success.

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