Unlike traditional devices that rely entirely on the cloud, devices with built-in AI architecture allow organizations to run workloads wherever they make the most financial and operational sense—whether locally on the device or in the cloud. By processing sensitive data right on the laptop, organizations can bypass cloud latency to deliver faster insights while ensuring strict data privacy and compliance. For organizations like ASU, this localized compute power can translate to immediate, high-impact benefits:
Boosting efficiency and uninterrupted productivity: Intel AI PCs help ASU coaches spend less time on tedious manual work and more time developing players, planning strategy and recruiting. As DJ Foster noted, “Working with Intel AI PCs allows our coaching staff to be more efficient with their time.” Fast performance, extended battery life and strong connectivity keep that work moving wherever coaches are, while on-device AI processes data locally for faster insights and responsive workflows.
On-device IP protection: Traditional cloud-based AI requires uploading sensitive data to external servers. By using on-device AI, ASU’s intellectual property—playbook strategies, player health metrics, and game film analysis— can be processed locally and doesn’t leave the physical device, reducing data exposure risk and ensuring compliant AI use.
Traveling securely with Intel vPro: When coaches hit the road for away games, keeping their devices secure and supported off campus is critical. With Intel vPro’s remote management capabilities and security capabilities, IT teams have the visibility, manageability and control needed to oversee staff’s AI device deployments from anywhere no matter the state of the OS.
The Next Play: Agentic AI in Action
Hardware deployment is just the beginning. Over the last six months, ASU and Intel collaborated to create a proof-of-concept tool that automates the time-intensive process of creating practice play cards, which football teams use to visually map out player formations, routes, and blocking schemes to prepare the team for upcoming games.
Traditionally, manually drawing out plays costs hours of the coaching staff time. With the play card agent, staff can upload opponent game footage directly to the PC. From there, the agent identifies offensive and defensive player positions, tracks players’ movements as the play unfolds, and automatically creates digital “whiteboard” drawings for further analysis.
The coaching staff expect this agent could save them up to 15-20% of their game prep time. Looking ahead, the play card agent could be adapted for other aspects of game analysis like advanced scouting, helping the coaching staff identify opponent’s tendencies and strategic opportunities more effectively.