How to Fail at AI Strategy: Hamel Husain & Greg Ceccarelli скачать в хорошем качестве

How to Fail at AI Strategy: Hamel Husain & Greg Ceccarelli

Want to guarantee your AI initiatives are great boardroom presentations but don't actually work? This talk explores the most reliable ways to waste time, money, and resources while building AI strategies. One proven method? Cultivate the perfect disconnect between those building AI solutions and the executives charting the strategic direction. For business leaders, navigating the AI space is overwhelming. There's a sea of advice on how to allocate resources, hire and execute on AI, but much of it comes from sources that aren't hands-on with the technology. Without practical experience, it's challenging to separate fact from fiction and make informed decisions. On the flip side, AI practitioners who are in the trenches often struggle to communicate their knowledge in a way that resonates with executives. They tend to think and speak in technical terms, which can be off-putting or confusing for those focused on business outcomes. After showing you common failure modes, Hamel and Greg will discuss how to overcome and avoid them by drawing on their experience helping 30+ companies develop and execute successful AI projects. Recorded live at the Leadership Track Session Day from the AI Engineer Summit 2025 in New York. Learn more at https://ai.engineer and purchase tickets to our next event, the AI Engineer World's Fair, in SF June 3 - 5 here: https://ti.to/software-3/ai-engineer-... About Hamel Hamel Husain started working with language models five years ago when he led the team that created CodeSearchNet, a precursor to GitHub CoPilot. Since then, he has seen many successful and unsuccessful approaches to building LLM products. Hamel is also an [active open source maintainer and contributor](https://hamel.dev/oss/opensource.html) of a wide range of ML/AI projects. Hamel is currently an [independent consultant](https://hamel.dev/hire.html). About Greg Greg is an operator with two decades of experience helping companies create competitive advantage with data. Prior to co-founding SpecStory he was the Chief Product Officer at Pluralsight. And previously had data leadership roles at GitHub, Dropbox and Google.