Attend Technology & Innovation Summit to:

• Achieve superior and relentless alignment of tech and business priorities.
• Unleash your agility and adaptability to thrive in a dynamic climate.
• Supercharge operational efficiency and effectiveness for maximum impact.
• Ignite a culture of collaboration between teams and business stakeholders.
• Conquer rivals with high-performance IT and elevate your competitive edge.

Register today!

Your success with technology depends not just on the tools you choose but on how effectively your people, teams, and culture can respond. This track dives into the human side of your technology-powered next steps. We’ll equip technology leaders like you with fresh insights into AI skills and roles, effective decision-making, and building resilience through volatile times. You’ll explore how to lead high-performing, multigenerational teams, sustain motivation during change, and drive innovation even in chaotic environments. This track is where you learn to make your leadership the bridge between human performance and your organizational goals.

AI’s rapid integration has amplified today’s tech mayhem. This track delivers the strategic frameworks that tech leaders need to regain control and drive business value. Understand how to craft resilient IT strategies and actionable roadmaps that harness emerging tech, with a focus on AI’s transformative impact on enterprise architecture and core IT capabilities. Master pragmatic approaches to value delivery and financial management fit for a dynamic world. Gain the strategic tools to navigate the chaos with confidence and steer your organization’s technology destiny.

Do more with less. That’s the status quo for I&O teams amid economic uncertainty. In 2025, tech leaders must rethink their tech stack amid VMware/Broadcom changes while justifying long-term modernizations and experience improvements. At the same time, cloud spending is rising to new levels as enterprises launch their AI pilots. Each of these issues on its own is challenging, but the real hurdle is navigating interdependencies to prioritize work. In this track, you will learn how to effectively weigh infrastructure stack decisions, infuse AI into operations and cloud, and holistically think about your teams’ digital employee experience.

Software is the foundation for enterprise agility, and AI is changing the core of enterprise applications to be better tuned and intrinsically adaptive to business demands. This track delves into the future of modern business applications, which are AI-infused, composable, cloud-native, and ecosystem-driven. Attendees will learn to rethink their strategies and investments, making informed decisions by understanding the forces and technology trends reshaping this market. Join us to discover how you can optimize your use of enterprise applications and strengthen critical relationships in a quickly evolving, software-driven world.

Data has always been messy, but the demand has never been higher for clean, consistent, integrated, relevant, and timely data to calm the data mayhem. Useful AI models can’t be built on shaky data foundations. Despite the huge advances in data platform technology, organizations continue to struggle with aligning people and processes that deliver the data to power decisions. In this track, you will learn how to effectively tame your enterprise data by modernizing your data platform, implementing strong data governance, and ensuring that your people have the right skills to use data effectively.

We are experiencing a crucial moment in AI, with technology providers pushing new advances every day at a frenetic pace and taking us closer and closer to artificial general intelligence (AGI). On the other side, enterprises are struggling to operationalize AI, which involves real value management, developing robust operational processes and observability, and safeguarding both enterprise and AI applications through responsible AI practices that go beyond just security. This mismatch between the pace of innovation of AI technology and enterprise readiness to accelerate creates even more tech mayhem. In this track, we will cover the future of AI in the near term (e.g., agentic AI) and longer term (e.g., AGI), as well as go deeper into ModelOps, FinOps, technology blueprints, infrastructure, and the future of the AI organization.