Also available on:
In this episode of GydeBites, host Prasanna Vaidya speaks with Mike Akeroyd about why impressive AI demos rarely translate into business value. Mike shares a framework for evaluating AI investments, selecting the right metrics, and linking product performance to business goals.
The conversation explores common ROI mistakes, why vanity metrics fall short, and how leaders can decide which AI initiatives deserve further investment.
Whether you're building products or leading AI initiatives, this episode offers a clear way to evaluate AI efforts before investing.
Why do so many AI product investments fail to show clear ROI?
What should leaders measure before investing in an AI initiative?
Which AI metrics matter, and which are misleading?
How can organizations quantify the business impact of AI?
What does a strong AI ROI framework look like?
SVP of AI & Product Management, MASA
With over 20 years of experience in product leadership, Mike has driven the development and growth of digital products across healthcare, fintech, and e-commerce. He has led large-scale initiatives spanning AI, machine learning, personalization, and digital transformation.
