Product Talk

How can enterprises unlock AI adoption while keeping sensitive data secure? In this podcast hosted by Boston New Technology CPO Shweta Agrawal, Polygraf AI Head of Product Anar Bayramov discusses how organizations can manage AI risk, protect data flows, and build governance into their AI strategy from the start. He shares lessons from building in regulated environments, explains why visibility into AI usage is the foundation of trust, and explores how product leaders can shift the conversation from fear-driven security to enabling responsible AI at scale.

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.

How can product leaders navigate the shift from product-centric to platform-centric strategies in financial services? In this podcast hosted by EY Chief Platform Officer within the Financial Services Organization Justin Leibow, Tavant Associate Director of Product Management Sandeep Shivam discusses the evolution of lending experiences through a platform approach. They explore the role of user research in product development, the impact of AI on customer expectations, and the importance of building trust in AI systems. Sandeep shares insights on optimizing operational efficiency, the challenges of regulatory compliance, and the significance of creating real value for users. This episode offers practical guidance for product leaders aiming to enhance user experience and leverage AI effectively in their strategies

How can AI eliminate one of the most frustrating parts of knowledge work: tracking and reporting time? In this podcast hosted by iDonate VP Product & Engineering Nacho Andrade, Laurel Chief Product Officer Jiaona Zhang discusses how AI can automatically capture and classify how professionals spend their time, turning everyday activity into structured insights. The conversation explores how AI agents can automate tedious workflows like timesheets while helping product teams move faster, stay grounded in user problems, and rethink leadership in an AI-native organization.

How can enterprises harness powerful AI responsibly? In this podcast hosted by Mphasis VP of Products Chenny Solaiyappan, Giggso Co-Founder Ravi Venugopal speaks about operationalizing AI safely and responsibly in regulated industries. He shares how governance, security, and observability form the guardrails for enterprise AI, why "AI must be farmed, not left to run wild," and how leaders can balance experimentation, innovation, and compliance while upskilling their workforce in an AI‑native world.

What does it take to build AI for customer service that improves real customer outcomes instead of just sounding intelligent? In this podcast hosted by Boston New Technology CPO Shweta Agrawal, Microsoft Product Lead Madhuri Somara shares how her team is building AI-powered case management solutions that automate routine work while keeping humans in the loop for judgment and empathy. She discusses designing AI systems that increase resolution speed, surface transparency in decision-making, and elevate the overall customer experience in complex service environments.

Can product management be fully automated with AI, and what happens if you try? In this podcast hosted by Hoda Mehr, Co-founder and CEO of Up My Mojo and a Board Member at Products That Count, Descript CEO Laura Burkhauser shares how her team experimented with automating nearly 100% of the product management workflow using AI. She discusses the surprising results of that experiment, how AI is changing the role of product managers, and why the future of product work may look very different from the processes teams rely on today.