As organizations accelerate toward AI-driven workflows, many IT teams are wrestling with how to make AI PCs operational rather than experimental, while still maintaining security, manageability, and predictable ROI. Leaders are being asked to modernize device strategies faster than governance models, support models, and deployment playbooks were designed to handle.

This session brings practitioners together to compare what’s actually working across performance, endpoint security, provisioning, and user adoption. Drawing on perspectives from HP, Intel, and Insight, the discussion will explore how on-device AI, modern silicon platforms, and real-world deployment experience are shaping scalable, enterprise-ready device strategies, without losing control or operational discipline.

BWG Connect, Insight Enterprises, HP & Intel invite you to join an interactive event with industry peers to review & discuss practical insights across the digital space.

As always, there will be no sales pitch and all attendees are welcome to listen and learn.

• Most teams understand what an AI PC is in theory but struggle to translate that into real operational value.
  • We’ll ground what actually changes when CPU, GPU, and NPU workloads move on-device and where performance, privacy, and battery life materially improve day-to-day work.
  • The group will pressure test where on-device AI meaningfully reduces friction versus where cloud workflows still dominate.
• Early AI workflows look promising, but many organizations are still unsure how to move beyond isolated pilots.
  • Participants will compare real examples of productivity, collaboration, and automation workflows that are delivering measurable impact today.
  • We’ll discuss what has helped teams move from experimentation to repeatable adoption across roles and functions.
• Security and manageability become more complex as compute shifts closer to the edge.
  • The conversation will explore how device security, identity, firmware protection, and remote management must evolve to support AI-driven workloads.
  • Leaders will share how they are maintaining control and compliance while accelerating device refresh cycles and modern provisioning.
• Standardizing the right device mix is increasingly difficult as user needs diversify and budgets remain constrained.
  • We’ll map how different personas evaluate mobility, performance, and longevity when selecting next-generation devices.
  • The group will compare approaches for piloting, validating ROI, and scaling configurations with confidence.
• AI readiness is as much about ecosystem maturity as it is about hardware capability.
  • We’ll examine what helps teams move faster from proof of concept to production-ready use cases.
  • Participants will share where software tooling, partner enablement, and internal readiness accelerate or stall progress.