Beyond Analytics
Sep 16, 12-3PM ET Virtual DataOps Conference
Learn how modern DataOps is enabling advanced use cases beyond analytics in a half-day of virtual sessions where data leaders share how they leverage orchestration to power AI, ML, and production-grade data products.
Save Your SpotInnovation starts at the pipeline.
ETL and analytics remain essential, but data teams today are taking orchestration and DataOps further — powering production AI, advanced ML frameworks, and revenue-generating data products that drive real business impact.
Join leaders from Ramp, Laurel AI, Astronomer, and more to explore this new era of data orchestration.
What to expect at Beyond Analytics
Learn from Data Leaders
Data innovators share how they push the limits of what’s possible with data orchestration.
Explore What’s New
Discover the latest Airflow and Astro features built to support modern analytics, AI, and ML at scale.
Get Your Data AI Ready
Get practical guidance to help you implement and scale AI initiatives in production.
Featured Speakers

Pete DeJoy
Co-Founder & CEO
Astronomer

Julian LaNeve
CTO
Astronomer

Ryan Delgado
Director of Engineering
Ramp

Jacob Dodd
Senior Machine Learning Engineer
Laurel

Sannya Ojha
Bain Capital Ventures
More speakers and a can’t-miss agenda to be announced soon!
Save Your SpotPre-Event Workshop
Become a certified Airflow 3 expert
Join Airflow expert Marc Lamberti, creator of Data with Marc, for a fast-track, expert-led introduction to Apache Airflow 3 fundamentals — designed to help you confidently prepare for the official Airflow 3 certification exam. Get your questions answered live, plus you’ll get a discount code for a free certification ($150 value).

Made for builders and leaders alike.
Whether you’re a data engineer scaling Airflow, a platform architect enabling MLOps, or a data leader driving business transformation and AI initiatives — Beyond Analytics has tailored content and insights to help you succeed.
Agenda
Keynote: Beyond Analytics: Orchestrating the Future of DataOps
Abstract
Three years ago, no one imagined data orchestration could power more than core ETL. But the AI era changed everything. Today, orchestration sits at the heart of the modern data stack — enabling AI, ML, and data products behind the tools and experiences we rely on every day.
Join Astronomer Co-Founder Pete DeJoy and CTO Julian LaNeve as they reflect on that evolution and share their vision for the future of DataOps. You’ll get an exclusive first look at new innovations that make Airflow more accessible and powerful than ever, and see how forward-thinking teams are building what’s next.
Ramp's Data Journey with Airflow and Beyond
Abstract
Ramp is the financial operating system helping businesses save time and save money. Data powers every decision we make and powers many of our core functions, from internal analytics & reporting to ML and AI-driven automation. Underpinning all of this is Ramp's data platform, with Airflow at the heart of it. In this session, Director of Engineering Ryan Delgado will talk about his team's journey from focusing on bread-and-butter ETL to tackling cutting-edge engineering problems in ML and AI - and the hard lessons his team learned along the way.
Apache Airflow® Best Practices for GenAI Pipelines
Abstract
Right now every organization, whether agile startups or large enterprises, is looking to implement GenAI initiatives, from customer-facing applications to the streamlining of internal processes. Airflow 3 is ready for this challenge: from data preparation to inference execution to orchestrating multi-agent workflows. In this talk, you’ll learn about practical patterns and key Airflow features for GenAI pipelines, along with links to additional resources and example code.
How Laurel Orchestrates RAG Pipelines for LLMs with Airflow
Abstract
Laurel is the company behind the world’s first AI Time platform, streamlining workforce management with AI-driven timekeeping solutions. The company recently raised a $100M Series C based on increasing demand for their offerings. In this session, Senior ML Engineer Jacob Dodd shares how the team uses Airflow for context engineering, including orchestrating Retrieval-Augmented Generation (RAG) pipelines to automate prompt creation for large language models. Discover how they deliver production-grade context through a mix of real-time systems and scheduled AI workflows.
From Pipeline to Profit: Orchestration and DataOps as Strategic Drivers
Abstract
Data orchestration is not just plumbing; it is a strategic capability that determines how quickly and effectively your organization turns data into value. Large-scale data initiatives often fail when orchestration is treated as an afterthought or driven solely by technical goals, without a clear connection to business priorities. In this session, Airbrx CEO Ben Tallman and CTO Michael Bissell share how an independent orchestration layer built on Apache Airflow, decoupled from storage and compute, puts your team in control of its roadmap, eliminates vendor lock-in, and supports AI-driven products, smooth migrations, and cross-platform workflows. By elevating orchestration in this way, you can ensure your DataOps practice is tightly aligned with the outcomes your business needs most.
Scaling Enterprise Orchestration: The IBM + Astronomer Advantage
Abstract
Enterprises today, especially those in regulated industries, need orchestration that works seamlessly across both on-premises and cloud environments. In this session, IBM will share how its collaboration with Astronomer brings together enterprise-scale Apache Airflow capabilities with IBM’s advanced data platform technologies to create a unified solution for managing complex data workflows. This joint approach helps organizations optimize existing infrastructure investments while delivering the security, scalability, and integration required for compliance-sensitive, high-impact workloads. You will learn how the combined strengths of IBM and Astronomer make it easier to orchestrate data pipelines across diverse environments and accelerate the delivery of AI and analytics at scale.
Registration now open!
Save your spot to learn how leading teams move beyond analytics to operationalize AI, scale ML, and deliver data products that drive real impact.
Register Today
FAQs
Got questions? We've got answers.