AI Explained: Productionizing GenAI at Scale

July 25, 2024
10AM PT / 1PM ET
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Enterprises are harnessing the full potential of GenAI across various facets of their operations for enhancing productivity, driving innovation, and gaining a competitive edge. However, scaling production GenAI deployments can be challenging due to the need for evolving AI infrastructure, approaches, and processes that can support advanced GenAI use cases.

Register for this AI Explained to learn: 

  • Challenges in reliability issues in backend and frontend systems affecting GenAI production environments
  • Insights into the AI infrastructure necessary for enterprise-scale GenAI deployments
  • Emerging practices in productionizing GenAI, including multimodal AI advancements

AI Explained is our AMA series featuring experts on the most pressing issues facing AI and ML teams.

Featured Speakers
Robert Nishihara
Co-founder and CEO
Robert Nishihara is one of the creators of Ray, a distributed framework for scaling Python applications and machine learning applications. Ray is used by companies across the board from Uber to OpenAI to Shopify to Amazon to scale their machine learning training, inference, data ingest, and reinforcement learning workloads. He is one of the co-founders and CEO of Anyscale, which is the company behind Ray. He did his PhD in machine learning and distributed systems in the computer science department at UC Berkeley. Before that, he majored in math at Harvard.
Krishna Gade
Founder and CEO
Fiddler AI