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.
Watch 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
at
Anyscale
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.
Krishna Gade
Founder and CEO
at
Fiddler AI
Krishna Gade is the founder and CEO of Fiddler AI, an enterprise AI Observability startup, which focuses on monitoring, explainability, fairness, and responsible AI governance for predictive and generative models. AI Observability is a vital building block and provides visibility and transparency to the entire enterprise AI application stack. An entrepreneur and engineering leader with strong technical experience in creating scalable platforms and delightful consumer products, Krishna previously held senior engineering leadership roles at Facebook, Pinterest, Twitter, and Microsoft.
