Summary:
AI promises huge productivity gains. Yet most business owners struggle to focus their team’s AI adoption efforts on high-impact workflows and strategic priorities. Instead, workers are experimenting with AI tools in isolation, leading to duplicated efforts, quality issues and legal risks.
Join Dale Bertrand for an end-to-end playbook for AI implementation and a case study detailing how his team achieved a 38% productivity increase from AI-driven process improvements alone. His framework enables organizations to accelerate adoption, choose high value use cases, measure productivity gains and align AI with business goals.
Takeaways:
- Prioritize high-impact AI use cases tied to strategic priorities
- Quantify productivity gains from AI-driven process improvements
- Accelerate AI adoption while mitigating risks
- Learn best practices for establishing an internal AI task force
Meet the Expert:
Prior to his marketing career, Dale built the machinery that powers the internet. While pursuing his graduate degree in Computer Engineering from Brown University, he was also actively engaged in AI research and built a 5,832-processor supercomputer for the NSA. Despite his love for technology, Dale felt like something was missing. He yearned for the human connection and collaboration that circuit boards and code couldn’t provide.This led him to pivot to a marketing career where he could still engage with technology, but use it as a tool to deliver impactful messages and educate professionals on its emerging capabilities.
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