Jitterbit Virtual Roadshow 2026
Jitterbit Virtual Roadshow 2026

Stop Building Silos & Start Building Bridges: AI Accountability & Orchestration

In an era of AI promise, why is it so hard to bridge the gap between building apps, managing agents and orchestrating data?
The global Jitterbit Infinite virtual roadshow will explore how a siloed foundation hinders AI initiatives and hides security risks — and learn why integration is key to unlocking the infinite possibilities of end-to-end automation and intelligent applications

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According to our recent survey data, while less than 5% of AI automation projects lose money, only a third are currently seeing a high ROI. Jitterbit Infinite will explore what most businesses miss when deploying new enterprise AI projects.

You’ll also learn:

  • Why 47% of businesses rate AI accountability as a primary challenge preventing agentic automation
  • How a unified foundation is critical to addressing security gaps that cause agent sprawl, shadow AI & compliance failures
  • What businesses successfully implementing agentic strategy do differently

In our product showcase, Jitterbit’s Cameron Ball will show you how to transform existing APIs and integrations into reusable, agent-ready capabilities and intelligent applications for any business or vertical.

Featured Speakers

Bill Conner - President and CEO
Bill Conner LinkedIn icon
President & CEO, Jitterbit

Bill Conner is a four-time CEO and trusted business visionary who has successfully built and operated SaaS, cloud, AI and hybrid businesses worldwide. With an extensive background in cybersecurity, Bill is a vocal advocate for robust AI security and privacy measures to ensure inherently nondeterministic technology such as AI agents operate with trust and accountability.

Cameron Ball - Manager, Sales Engineering
Cameron Ball LinkedIn icon
Sales Engineering Leader, Jitterbit

Cameron Ball creates scalable architectures across iPaaS, APIM, low-code apps and automation workflows. He helps customers integrate AI into legacy systems and move agentic AI projects from pilot to production, translating new capabilities into practical operating models and turning technical complexity into measurable outcomes.