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Build What’s Next: Digital Product Perspectives
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Build What’s Next: Digital Product Perspectives

Author: Method

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The process of developing digital products and experiences can be a daunting task organizations often find themselves wondering if they are solving the right problems the right way hoping the result is what the end user needs. That’s why our team at Method has decided to launch Build What’s Next: Digital Product Perspectives.

Every week, we’ll explore ways to connect technology with humanity for a simpler digital future. Together, we’ll examine digital products and experiences, strategic design and product development strategies to help us challenge our ideas and move forward.

48 Episodes
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In this episode of Build What's Next, host Jason Rome is joined by Hersh Tapadia, Founder and CEO of AllStacks, to explore the real-world impact of AI-native software delivery. While AI tools have dramatically accelerated code generation for individual developers, many organizations are struggling to see those speed gains translate into overall business productivity and ROI. Jason and Hersh discuss: The AI Productivity Disconnect: Why individual efficiency gains don't automatically scale to t...
Is the "SaaSpocalypse" here, or is the industry just getting started? In this episode of Build What's Next, host Jason Rome is joined by Ken Yagen, Principal and Operating Executive at Norwest, to explore the seismic shifts happening in software engineering and product development. Ken shares his pragmatic, "on-the-ground" perspective on the transition from AI copilots to agentic coding and the imperative for teams to pivot toward a systems-thinking mindset. We dive deep into the new financia...
Code is getting easier to produce, but the cost of building the wrong thing is about to get louder. Jason Rome sits down with Cory Voglesonger, Chief Product and Technology Officer at Aaron's, to unpack what’s actually changing as teams move toward AI-native delivery and an AI development lifecycle filled with coding agents and agentic workflows. We use Cory’s culture framework safety, clarity, urgency as a simple way to diagnose why some teams thrive with AI while others drown in noise. Urge...
AI is everywhere, yet most teams still feel stuck between exciting demos and messy reality. Jason Rome sits down with Jon Webster, Chief Operating Officer at CPP Investments, to pressure test what has truly changed since their last conversation and what has not. We talk candidly about why generative AI adoption is starting to look like every other enterprise technology rollout: uneven, political, constrained by governance, and full of “we bought the licenses but we do not have the use cases” ...
In this episode of Build What's Next, Theo Munoz, Miguel Ribeiro, and Natan Szczepaniak discuss Machine Learning Operations (MLOps) and why an estimated 80% of ML models built in notebooks never make it to production. The hosts argue that the failures stem less from technology and more from organizational issues like a lack of clear ownership, insufficient investment in data engineering, and poor data foundations. Learn how standardization, shared ownership between business and engineering, a...
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