Changing the AI Stack for 2026: From Compute to Data to Enterprise Deployment
Автор: IgniteGTM
Загружено: 2026-02-02
Просмотров: 80
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📍 Recorded live at CXO Enterprise AI Day, Convene San Francisco
Enterprise AI has shifted from experimentation to production in just 12 months. Organizations are now moving beyond demos to deploying reasoning models, agents, and domain-specific AI systems that deliver measurable business value. This panel explores how the AI stack is evolving from compute and model design to data strategy and real-world deployment.
In this discussion, leaders from WEKA, Zyphra, Vultr, and Snowflake break down the rapid shift from proof-of-concepts to large-scale enterprise deployment. They examine why smaller, specialized models are gaining traction, how infrastructure competition is reshaping costs, and what enterprises must do to operationalize AI workflows successfully.
Key insights include:
Why enterprise AI has moved from POCs to production deployments in 2025
How reasoning models and agents are reshaping enterprise workflows
Why smaller, domain-tuned models are outperforming general-purpose giants in real use cases
How competition in AI infrastructure is driving cost and deployment flexibility
What leaders predict will define the AI stack in 2026
📣 Stay tuned for upcoming events! https://luma.com/ignitegtm?k=c
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