Agentic AI systems have the potential to work together, but not yet at scale. This episode breaks down two emerging standards — Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication. Both promise modular AI integration, safer data flows, and agentic collaboration that actually scales. WWT engineer Sally Jankovic and AI advisor David Geddam explain why these protocols are becoming essential infrastructure for enterprise AI.

As AI innovation intensifies, one domain is already feeling the impact: software development. In this episode, WWT experts Nate McKie and Andrew Athan explore how AI-powered coding assistants are improving developer productivity and reshaping enterprise engineering. From Copilot to agentic tools capable of autonomous code generation, they examine how organizations are navigating this transition, balancing speed with quality and redefining the role of human developers. Whether you're leading a dev team or charting your company's AI roadmap, this is a must-listen for understanding the real-world implications of AI in engineering.

How can my organization become a great place to work? This is a common question we hear from clients of WWT. While there isn't a one-size-fits-all approach to culture, the most successful organizations integrate company culture with advanced technology to leverage data-driven insights and drive measurable business outcomes. Join WWT's experts Joe Berger, VP of Digital Experiences, and Krista Bush, VP of Global Employee Experience, as they discuss a framework for creating a sustainable and resilient company culture — a framework that has placed WWT on the Great Place to Work® list for 13 years running.

Jack in the Box CTO Doug Cook and WWT Chief Digital Advisor Charlie Lawhorn detail how a multi-year modernization sprint paved the way for advancements in AI — and what every business can learn from the fast-food chain's journey. Doug and Charlie offer a candid conversation that delivers a playbook for prioritizing AI use cases, funding innovation in capital-constrained environments and rolling out AI with minimal disruption.