AWS Executive Insights

The automotive retail industry is at a genuine inflection point. Rules are being rewritten, the competition is intensifying, and the pressure to transform has never been greater.
In this episode, Hartmut Wagner, CEO of Nextlane, shares how his company is helping dealerships and manufacturers navigate that complexity through a cloud-based open ecosystem, transforming from the inside out in the process.
For Hartmut, the key isn't the technology. It's the culture behind it, leading with values, proving AI's impact through real use cases, and empowering people until adoption stops feeling like a directive and starts feeling natural.
This episode offers leaders a practical perspective on driving transformation in a traditional industry, building a culture of curiosity and innovation, and why enabling your people is always the most powerful place to start.

AI transformation at enterprise scale isn't a project with a finish line; it's an organizational reckoning with how people learn, work, and create value. Vivian Sun, Senior Director of Data & AI at Jabil, brings that reality into sharp focus in this episode of AWS Executive Insights.
In conversation with Taimur Rashid, Managing Director of the AWS Generative AI Innovation Center, Vivian explains why AI demands continuous learning, not a one-time skillset. She also explores how Jabil's Octopus Organization model works in practice, with a central body setting strategy and guardrails, while distributed teams retain the freedom to innovate in the ways that work best for them. Together, these principles are what turn early pilots into lasting organizational change.
This episode offers leaders a practical framework for scaling AI transformation across a global organization, while keeping people, not technology, at the center of the journey.

For DNB, transformation isn't just a strategy. It's a survival imperative.
In this episode, Kjerstin Braathen, CEO of Norway's largest bank, makes the case that the pace of change in financial services today is unlike anything we've seen before. Not just digitization, but a full reimagining of what it means to build a bank from the ground up in a digital world.
Her answer? Stop tweaking the edges. Pick the must-win battles that matter most, move fast, and bring your people with you. Because at DNB, technology is only as powerful as the people behind it. And that means empowering everyone across the organization to lead the change.
This episode offers leaders a compelling perspective on what it really takes to transform at speed, without leaving your culture behind.

As AI agents become part of day-to-day business operations, security leaders face a new set of questions around identity, autonomy, permissions, and control. In this episode of AWS Executive Insights, Pascal Bornet speaks with Steve Schmidt, Chief Security Officer at Amazon, about how organisations should approach security in an era shaped by AI agents and automation.
Bornet and Schmidt discuss why agents should have their own identity, how companies should think about permissions and logging, and why human judgement still matters in high-stakes environments. They also cover the risks introduced by prompt injection, the role of external guardrails, and how AI is already helping defenders move faster against threats at scale.
This episode offers a practical view of how security teams and business leaders can respond to the rise of AI agents, with clear actions companies can take now to build safer systems from the start.
Learn more about AWS Agentic AI: https://aws.amazon.com/ai/agentic-ai/?trk=80F9DhCw5AKb6zC

Clearwater Analytics has gone from concept to over 800 AI agents in production, and Darrel Cherry, VP and Distinguished Engineer, shares the story behind that journey. In conversation with Arvind Mathur, Executive in Residence at AWS, Cherry traces how Clearwater built its own AI studio, multi-agent orchestration system, and no-code agent development environment before most of today's tools and frameworks even existed.
Cherry also details how Clearwater ensures accuracy in a zero-error-tolerance industry, from building a custom LLM evaluation framework to maintaining full audit trails across every agent action.
This episode offers leaders a practical blueprint for scaling AI from internal experimentation to enterprise-wide adoption, while maintaining the accuracy and trust that high-stakes industries demand.