AI readiness has quickly become a priority for K12 and higher education leaders, but turning that priority into a practical student experience is not simple. Many institutions are still working through the same questions: how to support faculty, how to give students meaningful hands on access, how to standardize the right technology environment, and how to scale AI learning beyond a few early pilots.

Join us for a peer driven executive discussion on what it takes to build an AI ready campus. The conversation will explore how education teams can connect curriculum, infrastructure, faculty enablement, governance, and access into a more sustainable model for AI learning. Attendees will walk away with practical ideas for moving from AI experimentation to scalable programs that better prepare students, support educators, and align with institutional priorities.

BWG Connect, Insight Enterprises, Intel & Lenovo 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.

• Education leaders are under pressure to prepare students for an AI driven workforce, but many institutions are still missing the structure to make AI learning practical
  • Attendees will discuss where AI interest is outpacing curriculum, faculty readiness, infrastructure, and hands on access for students
  • The group will explore how schools and universities are defining AI readiness in ways that connect academic learning to future workforce expectations
• Moving beyond isolated pilots requires a clearer path for scaling AI programs across classrooms, labs, departments, and campuses
  • Discussion will focus on how institutions are thinking about starter environments, dedicated AI labs, and broader Centers of Excellence
  • Insight Public Sector, Intel, and Lenovo will help frame what a phased approach can look like when teams need to balance ambition, budget, staffing, and operational complexity
• Faculty enablement is becoming one of the biggest barriers to sustainable AI adoption
  • Attendees will share where instructors need more support, training, curriculum, and confidence to bring AI into the learning experience
  • The conversation will explore how modular curriculum and train the trainer models can help institutions build AI literacy without putting the full burden on individual faculty members
• AI learning environments need to be consistent, secure, and manageable enough for IT teams to support at scale
  • The group will unpack what it takes to standardize AI optimized devices, workstations, software stacks, and classroom environments without creating new operational strain
  • Discussion will include how education teams are evaluating performance, security, governance, and policy alignment as AI becomes part of everyday teaching and research
• Equitable access is becoming central to AI strategy, not a secondary consideration
  • Attendees will discuss how campus size, funding models, device access, and local resources can create uneven student exposure to AI tools
  • The group will explore practical ways to expand hands on AI experiences across K12 and higher education while keeping programs sustainable and accessible