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Wes McKinney: The Future Roadmap for the Composable Data Stack
Wes reviews the progress we have made in the last 10 years developing composable, interoperable open standards for the data processing stack
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Dhruv Singh: Strategies for Assessing LLMs in Real-World Applications
Dhruv discusses practical solutions that will unlock faster iteration & more safety in GenAI, such as using tiny evaluators in an online setting & making efficient use of human feedback offline.
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DJ Patil & Joey Gonzalez: Why it Takes Billions
DJ Patil and Joey Gonzalez discuss how to navigate the AI landscape with OpenAI, Google, Nvidia and Everyone Else with Billions to Spare
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Dan Mejia & Michael Bullington: the Journey to FigJam AI
Learn about the unique development process of FigJam AI, from the inception at a hackathon to fine-tuning for specific use cases.
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Pete Hunt: Why You’ve Been Thinking About the Wrong DAG the Entire Time
Pete explains how declarative orchestration goes beyond improved developer ergonomics: it has profound consequences for the entire data platform.
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Jordan Tigani: Big Data is Dead
Jordan makes the case that the era of Big Data is over. Now we can stop worrying about data size and focus on how we’re going to use it to make better decisions.
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