A panel discussion on taking AI infrastructure from prototypes to production, covering GPU scheduling, model orchestration, observability, governance, and scaling across hybrid environments. Discuss architectural trade-offs, best practices, and organizational realities of supporting production-grade AI.

Microsoft Copilot Agents are quickly becoming a core part of modern enterprise applications, blending AI with workflow automation to accelerate digital transformation. With Microsoft Copilot Studio, developers and solution architects can design, extend, and integrate custom AI-powered assistants that operate securely within the Microsoft ecosystem. This session takes a deep dive into the technical capabilities of Copilot Studio and demonstrates how to build Copilot agents that go far beyond simple Q&A. We’ll cover end-to-end development patterns authoring conversational logic, integrating with Power Platform connectors, calling APIs and plugins, and leveraging Dataverse for secure data access. Attendees will also learn how to apply responsible AI principles, manage lifecycle deployment, and optimize performance in real-world scenarios. Technical Takeaways: By the end of this session, attendees will be able to: 1. Author and Customize Copilot Agents – Build a Copilot agent from scratch in Copilot Studio, design conversation flows, and implement prompt engineering patterns. 2. Integrate with Power Platform – Automate approvals, orchestrate workflows, and trigger Power Automate flows directly from Copilot interactions. 3. Connect to Data Sources – Use Dataverse, SharePoint, SQL, and external APIs to fetch, update, and process business-critical data securely. 4. Extend Functionality – Implement custom connectors, plugins, and API calls to extend Copilot beyond Microsoft 365 and tailor it for industry-specific use cases. 5. Enhance Productivity with AI – Embed capabilities like document summarization, knowledge mining, translation, and report generation into enterprise workflows. 6. Manage Governance and Deployment – Apply AI ethics, responsible usage, security, and monitoring practices to ensure compliance and scalable adoption. This session is designed for developers, solution architects, and IT professionals who want to move past demos and actually build enterprise-grade Copilot agents. Through real-world use cases and technical walkthroughs, attendees will leave with a blueprint for integrating Copilot Studio into modern business solutions.

Microsoft 365 Copilot is already changing the way we work — turning apps like Word, Excel, and Teams into AI assistants. But here’s the challenge: if Copilot isn’t governed with the right guardrails, it can just as easily overshare sensitive data or create compliance headaches. This session looks at what it takes to keep Copilot both useful and secure. From identity and access policies, to data protection and collaboration settings, to decisions about public web access discover how to avoid common pitfalls and build lasting trust in your deployment. Key Takeaways: - Why Copilot needs governance to deliver safe productivity gains. - Practical steps to prepare and manage your Microsoft 365 environment with Copilot. - How to balance AI innovation with security, compliance, and trust.

Join us for an insightful session led by Joao, CEO of CrewAI, as he explores how enterprises are putting agentic AI to work in real-world environments. As organizations move beyond experimentation and into full-scale deployment, they’re encountering both immense opportunity and critical operational challenges. In this session, Joao will unpack how leading companies are building and deploying agentic workflows in production—showcasing how autonomous agents are being used to handle complex tasks, coordinate across systems, and deliver tangible business outcomes. He will highlight the practical considerations enterprises must address to succeed at scale, including governance frameworks that ensure agents behave reliably and transparently, and observability techniques that allow teams to monitor, debug, and optimize these dynamic systems in real time. Drawing from real production use cases, Joao will share how organizations across industries—from telecom and financial services to retail and logistics—are leveraging CrewAI’s platform to orchestrate agentic workflows that drive efficiency, enhance decision-making, and improve customer experiences.

Based on a large retail project, discover how to evolve an IT system built through incremental layers (monoliths, [micro]services, streaming, governance, applications…) into a data-centric, real-time, high-performance system, where governance, rule and data catalogs, data mesh, and scalability are integrated by design—not as add-on layers.

Overview of Stellar's origins, governance model, and the technology stack used for developing smart contracts on Stellar.

Learn how to build and manage robust AI infrastructure using Kong AI Gateway for efficient GenAI application development and deployment. From AI Gateway essentials to advanced management techniques, you'll learn to optimize your applications, implement governance and security measures, and adapt to various deployment environments.

In this session, we will demonstrate how IBM’s Chief Privacy Office has innovated to expand its mature Privacy program into an Integrated Governance Program, adapting existing systems to address both ethical AI and privacy regulations, and move towards a continuous compliance approach.

Gen AI, LLMs, AI assistants and intelligent agents are powering next-generation customer experiences. But there is no AI without data. This session covers data platforms, governance, and cutting-edge vector search to enable enterprise AI.

Gen AI, LLMs, AI assistants and intelligent agents are powering next-generation customer experiences. But there is no AI without data. This session covers data platforms, governance, and cutting-edge vector search to enable enterprise AI.