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November 13, 2025

Data Superstream: Data Engineering in the Age of AI

Presented by Matt Housley, Lisa Cao, Jessica Talisman, David Talby, Scott Haines, Valliappa Lakshmanan, Mark Theunissen, Lena Hall

Tools, Techniques, and Best Practices for Supporting AI and ML Use Cases With the popularity of GenAI increasing by the day, good data engineering is more essential than ever. AI is transforming industries, but without high-quality data, even the most sophisticated models and AI agents can go awry. Data engineering is the backbone of AI workloads, as data engineers maintain and implement the infrastructure that houses data required for model training, build data pipelines that ensure accurate and accessible data, and monitor and enable model deployment. Connect with leading-edge data engineering specialists to learn how to support AI and ML use cases, understand the emerging technologies you'll need to bridge the gap between data engineering and AI development, and pick up the latest best practices for dealing with common challenges and pitfalls.

December 9, 2025

Software Architecture Superstream: Enterprise Architecture in the Age of AI

Presented by Neal Ford, Philip O'Shaughnessy, Anjali Jain, Dom Sipowicz, Brian Rogers, Ron Abellera, Lewis Crawford

Navigating the future of systems and processes Understanding how AI is reshaping enterprise architecture is now essential to your success as a technology leader, but navigating the impact of AI on systems, processes, and governance can be overwhelming. From data readiness to infrastructure changes, and from ethical concerns to automation trends, AI is transforming how organizations design, build, and evolve their architectures. Join us to explore the strategies, components, and design principles that modern enterprise architects must employ to keep up with these dynamics. You'll hear expert insights into building adaptive, AI-ready architectures that support continuous innovation, ensure governance and security, and align seamlessly with business goals鈥攕o you can lead confidently in the age of AI.

January 20, 2026

Infrastructure & Ops Superstream: Infrastructure for AI

Presented by Sam Newman

GPUs, neoclouds, and next gen data centers Modern AI and machine learning infrastructure presents unique orchestration challenges that extend far beyond traditional workloads. This event addresses the practical realities of managing specialized compute resources including GPUs, TPUs, and emerging accelerators, along with the platforms and tools designed to tame their complexity. Our panel of experts explore Kubernetes-based scheduling for heterogeneous hardware, multi-tenancy and resource sharing, container orchestration for CUDA and ML frameworks, cost optimization across cloud and on-premises environments, and building self-service platforms that empower teams. Sessions will cover infrastructure orchestration solutions like neocloud, driver and runtime management, monitoring specialized hardware utilization, architectural patterns for training and inference workloads, and strategies for handling the unique demands of AI infrastructure at scale.

January 29, 2026

GenAI Superstream: Agentic Workflows for Enhanced Productivity and Project Success

Presented by Ricardo Vargas

We know AI can help, but too often we鈥檙e stuck asking chatbots simple, one-off questions instead of leveraging them to manage the complex, multistep coordination required for more noticeable gains in productivity and project success. This GenAI Superstream is designed to help you move from scattershot chats to more effective, reusable agent-driven workflows.

February 26, 2026

AI Superstream: Context Engineering

Presented by Angelina Yang

Building reliable AI (agentic) systems with prompts, tools, RAG, memory and more The performance and reliability of an AI-powered system is determined not only by the strength of the particular AI model underneath it, but also the data or context the model is given for any particular task. Engineering large contexts that an AI model or an even more complex agentic AI system can leverage is challenging, and bigger is not always better. Join our experts to explore the art and skill of context engineering and its essential components from prompting and retrieval to tool use and memory. We鈥檙e still working on finalizing the schedule for this event. Please check back closer to the event date for more information. What you鈥檒l learn and how you can apply it: Learn the essential building blocks of context engineering for AI Explore the challenges of context engineering and the techniques and tools that are used by industry experts to address them Learn from the real-world experience of engineers who are building agentic AI systems Recommended follow-up: Read Prompt Engineering for LLMs (book) Take AI Memory Management in Agentic Systems (live online course with Richmond Alake) Take Context Engineering with MCP (live online course with Tim Warner) Take AI Context Engineering (live online course with Skanda Vivek)

March 5, 2026

Software Architecture Superstream: Software Architecture and the Age of Agentic AI

Presented by Neal Ford

Every time a change happens in AI, it changes intersections in architecture. While traditional AI systems are often static and rule-based, designed to perform specific tasks based on predefined inputs, agentic AI has introduced autonomous systems that can set goals, create plans, and execute multistep tasks with minimal human intervention. How does this shift impact the way we design and build software systems? Join us for a deep dive into the evolving world of software architecture in the age of agentic AI. It isn鈥檛 just about adding a new component to your tech stack; it鈥檚 about rethinking the entire system. Your host, Neal Ford, leads an examination into how this shift from static AI to goal-oriented agents is impacting software architecture in critical areas. Expert guest speakers provide insights into how these intelligent agents can function as the new microservices, enabling systems that are more dynamic, scalable, and resilient.