Turning AI experimentation into measurable business value remains a challenge for many organizations. Join Sally Lowery, Brooks Flynn, Director, Workstation Product Management at Lenovo, and Mike Nordquist, VP, Product Marketing, Client Business Unit at AMD, as they discuss how to scale AI adoption, avoid the pilot trap, and unlock long-term business impact.
Chapters
00:00 – Introduction: Moving AI from Pilot to Proof Point
00:40 – Escaping the "Pilot Trap" & Measuring ROI with Business KPIs
01:56 – Building an Operational Framework Around Business Goals
03:10 – Navigating the Evolving AI Ecosystem & Multi-Tool Usage
04:28 – Orchestrating Workloads & Preventing Token Bills
05:39 – The Case for Hybrid AI: Cloud vs. On-Premise & Local Compute
07:14 – ISVs & Seamless In-Workflow AI Integration
08:12 – Standardizing Hardware: Ensuring a Consistent AI User Experience
09:34 – AI PC Baseline Capabilities
10:21 – Tokenomics Explained: Managing Costs & Unreturnable Tokens
13:27 – Prompt Engineering, Training, and the Shift to Natural Language
14:21 – Managing Infrastructure Budgets: Weekly & Monthly Token Monitoring
15:28 – Governance, Security, and Preventing Rogue "Shadow AI"
17:21 – Final Thoughts: Employee Feedback Loops & Unlocking Human Potential
