Method

AI adoption doesn’t fail because the technology lacks sophistication. It fails because the body supporting the technology can’t stand upright, move with sufficient strength, or coordinate its parts. Edward Mangini looks at how Capital One, Uber, and the UK Government Digital Service are using the physiology framework to bring AI to life with better data. https://bit.ly/4usjOyg

How can you use AI to accelerate workflows without sacrificing quality in design and engineering? In this discussion around core development workflow, David Shackelford explains how designers can use tools like Perplexity, UX Pilot, and Figma Make, while Paul Cullen Rowe weighs in on how tools like Claude Code and Google's Anti-Gravity IDE are impacting engineers. Give it a listen here 👇 Spotify: https://bit.ly/4c83M4i Apple: https://bit.ly/484CESX Or wherever you get your podcasts.

Agentic Commerce is empowering consumers through seamless product discovery, selection, and purchasing. At our recent Tech Talk with Mike Storiale and Michael Lewandowski, we discussed the profound impact of agent-driven systems on consumer experiences, traditional business models, and front-end interfaces. Watch it for free here > https://bit.ly/4uLaWTW

When it comes to data readiness, organization, competency, and pipelines are the foundation AI systems need to grow stronger over time. Edward Mangini explains why companies need to imagine data readiness as a living physiology in order to succeed with AI. https://bit.ly/4wuM704

Hitachi established the Global AI Center of Excellence to help business units and clients leverage its full AI capabilities, align initiatives with enterprise goals, and translate experimentation into sustained impact. With expertise from across Hitachi, its role is to enable scale by ensuring that successful approaches can be reused, investments align with strategic priorities, and AI initiatives deliver measurable value as they grow. Dr. Vanina Delobelle, PhD, shares how it's creating measurable value today and shaping a future where technology serves humanity. https://bit.ly/42sWUub

"MLOps is no longer optional" - Miguel Ribeiro So, how can you build MLOps pipelines with best practices built within them? On this technical episode of Build What's Next, Theo Munoz, Miguel Ribeiro, and Natan Szczepaniak discuss how standardization, shared ownership between business and engineering, and robust model governance can ensure you're scaling AI safely and successfully. Give it a listen here 👇 Spotify: https://bit.ly/4cPqRdT Apple: https://bit.ly/4teBEDa Or wherever you get your podcasts.

Many SaaS companies approach AI investment with vague promises of efficiency gains or a sense that they'll fall behind without it. Ultimately, "we need AI" leads to stalled deployment and wasted budget. Jason Rome looks at the three categories of AI value and shares best practices for building a long-term competitive advantage. https://bit.ly/48Pb6RN

As AI transitions from experimentation to core operations, the focus for leadership has shifted toward demonstrating ROI. Last week, in collaboration with our friends at Allstacks and Miro, we guided product leaders from major companies in Atlanta on effectively articulating ROI throughout the product development lifecycle. Thank you to everyone who joined us!

Enterprises are attempting to run AI initiatives without the operating capability required to manage them at scale. Miguel Ribeiro and Natan Szczepaniak share what it was like working with a major UK retail and commercial bank to redefine its approach so they could establish a repeatable, secure, and scalable operating model across the organization. https://bit.ly/4wheM8M

Agentic commerce is empowering consumers through seamless product discovery, selection, and purchasing. At our free Tech Talk on May 13, Michael Lewandowski and Mike Storiale will analyze the impact of agent-driven systems on consumer experiences, traditional business models, and front-end interfaces. Save your spot here > https://bit.ly/4sH6HHI