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How AES went from zero to 50 deployed models in two years

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In less than two years, AES built out a global team, its underlying infrastructure, and they’ve built and deployed 50+ models to date. Today, AES models optimize liquid gas shipping and logistics, predict when power generation equipment will need maintenance, guide fintech energy trades, make hydrology predictions, inform bids on power generation facilities, provide weather forecasting for utilities, and more. Their cloud infrastructure supports the diverse needs of data scientists, giving them access to compute resources (including NVIDIA Tesla) and tools (including SAS Viya and H2O) within the Domino Enterprise MLOps platform.

Speaker: Sean Otto - Director of Analytics, AES Corporation

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Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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