Description
AI-powered research tools are reshaping how business leaders gather intelligence, evaluate markets, and make strategic decisions — but getting reliable, high-quality output requires more than a simple prompt. Knowing how to frame queries, layer context, and critically assess what AI returns is quickly becoming a core professional skill for anyone working at the intersection of strategy and technology.
In this code-along webinar, Nancy Yaklich, Head of Innovation & Incubation at Caterpillar, will show you how to use Perplexity as a deep research engine for real business problems. You'll learn how to engineer context effectively to steer AI research toward sharper, more relevant results, how to evaluate the quality and reliability of AI-generated output, and how to apply these techniques to a hands-on use case spanning competitor analysis, strategic scenario building, and business planning.