Product Talk

How do product leaders decide what AI should automate and what should stay human-in-the-loop? In this podcast hosted by Mphasis VP of Products Chenny Solaiyappan, Level AI Head of Product Sirisha Machiraju will be speaking on how teams move AI from experimentation to strategic priority while balancing trust, adoption, and risk in enterprise environments. She also shares a practical playbook for evaluating assistive vs. agentic workflows and explains how conversation intelligence is reshaping customer experience across industries, including healthcare.

How can product leaders cut through AI hype to build products that actually deliver value? In this podcast hosted by Boston New Technology CPO Shweta Agrawal, Former Amazon, PayPal & Target Product Leader West Stringfellow will be speaking on how to apply AI with a product-first mindset. Drawing from decades of experience scaling global platforms, he shares how to balance innovation with discipline, avoid overestimating AI capabilities, and focus on what truly drives customer impact and business growth.

What does it take to build AI-powered products that customers actually trust? In this podcast hosted by EY Chief Platform Officer Justin Leibow, Unit21 Sr Product Leader Dhiraj Bhat will be speaking on how product leaders can design systems that leverage AI effectively. Drawing from his experience building fraud prevention products, Dhiraj explores the shift from feature-driven PM to systems thinking, and why implementation and trust will define the winners in AI.

What does it mean to prompt AI the product manager way? In this podcast hosted by Hoda Mehr, Co-founder and CEO of Up My Mojo and a Board Member at Products That Count, Ridge Ventures Venture Partner Akriti Dokania will be speaking on how product leaders can approach AI prompting with a product mindset. Akriti brings a rare perspective, having worked as an engineer and product manager at Amazon and Microsoft and now serving as a venture partner and board member to several successful B2B startups. The conversation was sparked by an article Akriti recently published on how to prompt AI models the product manager way, an idea that reframes the current AI conversation. While much of the industry focuses on what AI models can do, Akriti argues that the real variable is the person using them: how the problem is framed, how the conversation is structured, and whether the user knows what kind of help they are actually looking for. Together, they go deep on practical frameworks product builders can use immediately, the mindset shifts that separate those who get real value from AI from those who stay in the shallow end, and what Akriti's experience across engineering, product management, and venture investing reveals about the difference between product builders who are truly AI-native and those who are simply using AI.