
Learn from integration and AI leaders and practitioners across industries what it took to transform data engineering and integration, and succeed with AI.
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Catch up on the highlights, dive into the sessions you missed, and get a real taste of the experience. It’s the perfect way to see what’s in store — and trust us, this year is going to be even more unforgettable. Watch 2024 Virtual Summit On-Demand >
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Learn Data, AI, and Integration Best Practices That Worked
This year’s Data + AI Integration Virtual Summit is focused on giving data/AI leaders across industries and data engineers the best practices that helped others modernize integration, make data AI-ready, and succeed with enterprise AI.
Learn how to scale data-driven strategy, technologies, teams, and processes.
See real-world examples across financial services, healthcare, and B2B.
Dive deep into how AI is being used to transform traditional processes across industries.
Learn the best practices from the experts that helped them succeed with GenAI.
Get the latest insights into open source AI projects, and what’s coming.
Dive into integration and GenAI best practices across Financial Services, Healthcare, Hospitality, Life sciences, and Retail.
Summit Agenda


Why do so many AI projects stall after proof of concept, while others thrive? Join keynote speaker Sol Rashidi and moderator Saket Saurabh for a dynamic panel exploring the real reasons behind AI project failures—and the strategies that lead to success. From workforce readiness and risk tolerance to choosing the right use cases and overcoming data challenges, this session will uncover the critical lessons, common pitfalls, and emerging trends shaping the future of GenAI.


Agentic AI has suddenly evolved from research to real-world technology, which has happened in large part because of open source. Join us as Qingyun, founder of AG2, shares her insights into the latest open-source agentic AI projects that are shaping the agentic AI landscape, how to use these technologies, and what to expect over the next year.



AI presents a powerful opportunity to modernize enterprises—not by replacing people, but by augmenting operations, enhancing decision-making, and unlocking new sources of value. In this session, Operating Partners Sumit (Bain Capital) and Manish (Berkshire Partners) explore how AI is being thoughtfully applied across sectors like manufacturing, healthcare, and financial services to improve outcomes, increase efficiency, and future-proof companies.


In today’s competitive eCommerce landscape, delivering personalized, AI-powered experiences at scale requires more than just great models—it demands fast, reliable access to high-quality, well-integrated data. But too often, data teams are bogged down.
Join Venkat, CTO of Belcorp, to explore how modern data teams are overcoming these challenges with reimagining how data powers its eCommerce and supply chain operations across channels.



AI is transforming healthcare and life sciences—from accelerating drug discovery to enabling precision diagnostics and personalized treatments. Learn from leaders at ElevateBio and Snowflake how AI is reshaping healthcare and life sciences organizations.


AI is redefining core banking, financial services, and insurance processes. AI not only helps make sense of millions of financial or claims documents. It helps more accurately assess risk, identify relationships, or identify patterns much faster than people. Join us as we learn from some of the best uses of AI in financial services, and the technologies, skillsets, and best practices that made them possible.


Enterprises are at a turning point—AI is here, but data engineering still holds the key to success. In this session, best-selling author & Chief Geek Joe Reis and Nexla CTO Amey Desai explore how to align your data strategy, tech stack, and teams to build AI-ready systems. From tackling messy enterprise data and enabling LLMs with RAG, to boosting data engineer productivity and navigating AI maturity, this talk offers practical insights for unlocking the full power of your data.


Data is the single most important determinant of whether your AI project thrives—or fails. By 2026, analysts predict that 60% of AI initiatives will be abandoned due to a lack of AI-ready data. The gap? Traditional data integration methods were never designed for the complexity, scale, or diversity of modern AI workloads.
In this demo, Nexla will show what purpose-built, AI-optimized data integration truly looks like. You’ll see how AI-ready data products can be created automatically—secure, governed, and accessible—across thousands of sources, including unstructured formats like text, images, and video.
Reserve Your Spot Today
Understand the core use cases of integration and AI for analytics, data science, B2B (intercompany), and operations.
Dive deep into the integration and AI best practices that worked, and some lessons learned the hard way.
Make sure your data is AI-ready, and your AI is ready for data. Understand what integration skills you need, how to compare LLMs, improve data quality and model accuracy, and accelerate GenAI projects.
Ideal for those overseeing strategic data initiatives and looking to address organization, governance, and technology challenges.
Tailored for data and AI engineering leaders looking to improve integration, AI, and governance team performance.
Ideal for lead engineers and managers looking for the data and AI engineering best practices, architectures, and technologies.
Suited for leaders in data usage roles who depend on data engineering for data movement and preparation.