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| Title & Speakers | Event |
|---|---|
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Evaluating AI Agents
2025-11-18 · 19:20
Sultan Al Awar
– Solutions Architect
@ Databricks
,
Kyra Wullfert
– Specialist Solutions Architect
@ Databricks
,
Jacques Verre
– Head of Product
@ CometML
,
Sangram Reddy
– Head of AI
@ IntentHQ
Topic: Evaluating AI Agents Learn from industry practitioners, researchers, and experts on the latest and greatest on evaluations frameworks and tools to bring AI Agents to production |
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DSPy: The LLVM for Context Engineering
2025-11-18 · 19:00
Eito Miyamura
– Co-Founder
@ EdisonWatch
Abstract: Prompt engineering/optimising manually is like writing assembly code; if you're a pro, you get the most amount of control and max performance with manually adapting Prompt, but DSPy provides the higher-level abstraction DSL for the functions the LLM-based system is supposed to carry out before getting onto the bare metal (the LLM). Get smaller, cleaner code with DSPy. (And auto-optimization as a bonus) |
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Mosaic AI Agent Framework
2025-11-18 · 18:40
Puneet Jain
– Sr. Specialist Solutions Architect
@ Databricks
Abstract: Explore the suite of tooling in Databricks that enables you to build, evaluate, and deploy production-quality AI applications with monitoring and governance, and this session will include customer stories illustrating real-world impact. |
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Behind Every Good Decision
2014-11-05
Piyanka Jain
– author
,
Puneet Sharma
– author
So you’re not a numbers person? No worries! You say that you can’t understand how to read, let alone implement, these complex software programs that crunch all the data and spit out . . . more data? Not a problem either! There is a costly misconception in business today--that the only data that matters is BIG data, and that elaborate tools and data scientists are required to extract any practical information. But actually, nothing could be further from the truth. In , authors and analytics experts Piyanka Jain and Puneet Sharma demystify the process of business analytics and demonstrate how professionals at any level can take the information at their disposal and in only five simple steps--using only Excel as a tool!--make the decision necessary to increase revenue, decrease costs, improve product, or whatever else is being asked of them at that time. Readers will learn how to: Behind Every Good Decision Clarify the business question Lay out a hypothesis-driven plan Pull relevant data Convert it to insights Make decisions that make an impact Packed with examples and exercises, this refreshingly accessible book explains the four fundamental analytic techniques that can help solve a surprising 80 percent of all business problems. It doesn’t take a numbers person to know that is a formula you need! |
O'Reilly Data Science Books
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