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Explore the convergence of data infrastructure and AI systems with Naveen Rao and George Mathew as they discuss emerging architectural patterns and provide guidance for leaders navigating AI adoption and building modern data platforms.
Explore how real-time data infrastructure is transforming analytics and AI capabilities through insights from database and networking pioneers Aaron Katz and Martin Casado, offering wisdom for scaling high-performance systems.
Explore cutting-edge LLM system design with experts from Perplexity AI, Lamini, Replit, and UC Berkeley as they discuss retrieval-augmented generation, agentic search, and solutions for reducing hallucinations.
Gain insights into practical AI safety implementation from industry leaders at OpenAI, Meta, Oracle Health, and LinkedIn as they discuss real-world challenges, trade-offs, and technical solutions for responsible AI deployment at scale.
Discover how SambaNova's revolutionary memory-centric architecture overcomes the "memory wall" challenge to power trillion-parameter models and multi-agent systems with record-breaking performance for enterprise AI applications.
Discover strategies for managing Iceberg table layouts at scale through multi-objective optimization, balancing storage efficiency, cost minimization, and performance impact with intelligent scoring and prioritization techniques.
Explore the engineering behind Notion's semantic search system, as turbopuffer and Notion experts share insights on managing billion-scale vector workloads using object storage for large-scale RAG systems and LLM applications.
Discover the origins and evolution of Apache Iceberg with creator Ryan Blue, exploring how this universal table format is revolutionizing analytics and data lake architectures in modern data engineering.
Discover how Instacart orchestrates 20M+ daily workflows, the technical challenges involved, and strategies for managing complex distributed systems that power their massive on-demand platform.
Explore how AI models have become the primary product differentiator in technology, examining strategic challenges companies face and how the relationship between models and distribution creates competitive advantage.
Discover insights on building production-grade LLM applications using Llama Stack, covering development challenges, testing, deployment, monitoring, and scaling across cloud, on-premises, and mobile environments.
Discover practical approaches to using LLMs as tools rather than hype, with insights from building products, training foundation models, and daily GenAI usage for realistic implementation.
Discover how OpenAI's Responses API simplifies integration by transforming complex code into a few lines, with built-in state management and semantic streaming for agent-like applications.
Discover how DuckDB's in-process analytical engine enables creative data interactions with its small footprint and high efficiency, unlocking new possibilities for data pipelines and analytics deployment across various environments.
Discover the challenges and solutions for building petabyte-scale multimodal feature lakehouses for foundation model training, balancing data quality with quantity while supporting both analytical querying and high-performance feature serving.
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