Uploaded September 2026 | Updated September 2026, 8 hours ago
Everyone is racing to adopt AI, but what if the biggest competitive advantage has less to do with the AI model and more to do with the infrastructure underneath it? 🤖⚡#Sponsored #AWSPartnership
In this conversation, I speak with Matthias Patzak, AWS Executive in Residence and former CTO, and Joel Hron, CTO of Thomson Reuters, about why infrastructure modernization is becoming critical to enterprise AI success.
We explore how legacy systems, technical debt, data infrastructure and development processes can either accelerate AI adoption or hold it back, and why the rise of AI agents is putting entirely new demands on enterprise technology.
🔹 What we cover:
1️⃣ Why the AI race is increasingly becoming an infrastructure race
2️⃣ Why access to the best AI model is unlikely to provide a lasting competitive advantage
3️⃣ How Thomson Reuters has modernized its technology infrastructure with AWS
4️⃣ Why AI agents create dramatically different demands on enterprise systems
5️⃣ How AI can amplify weaknesses in legacy technology and development processes
6️⃣ Why modernization is shifting from major one-off transformation projects toward a continuous capability
7️⃣ How AI is accelerating software modernization and helping organizations tackle technical debt
8️⃣ Why testing, CI/CD, security and observability become even more important as AI generates more code
9️⃣ Why leaders should focus their AI strategies on growth, new products and new business models
🔟 Why delaying modernization could become one of the biggest risks facing established businesses
One of the most important messages from the discussion is simple: becoming AI-ready is about far more than deploying AI tools.
Organizations need the infrastructure, data, engineering practices and culture that allow them to adapt continuously as AI changes.
If you are a business leader, technology leader, CIO, CTO or anyone responsible for enterprise AI transformation, this conversation offers some important lessons for building an AI-ready organization. 🚀
See how Thomson Reuters modernized on AWS with agentic AI: fandf.co/4ietXLt
#Sponsored #AWSPartnership
Everyone is racing to adopt AI, but what if the biggest competitive advantage has less to do with the AI model and more to do with the infrastructure underneath it? 🤖⚡#Sponsored #AWSPartnership
In this conversation, I speak with Matthias Patzak, AWS Executive in Residence and former CTO, and Joel Hron, CTO of Thomson Reuters, about why infrastructure modernization is becoming critical to enterprise AI success.
We explore how legacy systems, technical debt, data infrastructure and development processes can either accelerate AI adoption or hold it back, and why the rise of AI agents is putting entirely new demands on enterprise technology.
🔹 What we cover:
1️⃣ Why the AI race is increasingly becoming an infrastructure race
2️⃣ Why access to the best AI model is unlikely to provide a lasting competitive advantage
3️⃣ How Thomson Reuters has modernized its technology infrastructure with AWS
4️⃣ Why AI agents create dramatically different demands on enterprise systems
5️⃣ How AI can amplify weaknesses in legacy technology and development processes
6️⃣ Why modernization is shifting from major one-off transformation projects toward a continuous capability
7️⃣ How AI is accelerating software modernization and helping organizations tackle technical debt
8️⃣ Why testing, CI/CD, security and observability become even more important as AI generates more code
9️⃣ Why leaders should focus their AI strategies on growth, new products and new business models
🔟 Why delaying modernization could become one of the biggest risks facing established businesses
One of the most important messages from the discussion is simple: becoming AI-ready is about far more than deploying AI tools.
Organizations need the infrastructure, data, engineering practices and culture that allow them to adapt continuously as AI changes.
If you are a business leader, technology leader, CIO, CTO or anyone responsible for enterprise AI transformation, this conversation offers some important lessons for building an AI-ready organization. 🚀
See how Thomson Reuters modernized on AWS with agentic AI: fandf.co/4ietXLt
#Sponsored #AWSPartnership
