AI Con USA 2026 - Sponsored Talks
Wednesday, June 10
Orchestrating Real-Time Governed Insights to Build the Agentic Enterprise
The agentic enterprise isn’t just about smarter decisions—it’s about turning decisions into outcomes through real-time data, real-time execution, and sovereign deployment across hybrid environments. Organizations are shifting from isolated assistants to orchestration-first operating models that coordinate specialized agents across enterprise tools with centralized governance and policy guardrails, keeping execution secure, auditable, and resilient at scale. In parallel, agentic approaches are being applied across the digital lifecycle to accelerate modernization and delivery while...
Scale Is Not Quality: The Quiet Crisis in AI Training Data
Join CloudResearch in this session to learn:
Why data quality, not data volume, is becoming the defining challenge in human-in-the-loop AI What separates research-grade human evaluation from commodity labeling — and why it matters for anyone shipping AI How quality in human-in-the-loop data connects training, evaluation, and emerging AI governance requirementsThe Confidence Gap: Enterprise AI Adoption vs. Reality
AI-powered development has delivered on its promise. Code is being written faster, at greater scale, across nearly every enterprise engineering organization. But velocity without visibility isn't progress — it's risk accumulating quietly in your pipeline.
The bottleneck in software delivery has shifted. It's no longer writing the code. It's reviewing it, testing it, governing it, and proving it delivered something worth paying for. Yet most organizations are discovering that their governance frameworks, cost controls, and accountability structures haven't kept pace with the volume AI...
Observability in an Agentic Age
As AI agents take on more complex tasks, ensuring their reliability and accuracy is critical. In this session, you’ll discover how to gain deep insights into your agentic frameworks using standard practices like OpenLLMetry.Join Dynatrace to explore how modern observability tools provide actionable guidance on establishing guardrails, mitigating AI hallucinations, and improving operational efficiency across all your projects. You will also see why interfacing with observability data through agentic workflows is essential for building a true, end-to-end AIOps practice.
Thursday, June 11
AI-Assisted Development: Using GitHub Copilot and Other Tools to Accelerate Delivery
There is no question that Generative AI models can improve the productivity of almost every role within the software development process. Tools like GitHub Copilot, Amazon CodeWhisperer, Tabnine, and more, can be critical tools to help developers do their jobs better and faster. Join Coveros CEO Jeffery Payne to explore how Generative AI solutions help software developers generate and supplement code and even suggest improvements to what you’ve already created.