Stop Waiting To Be AI-Ready @bernardmarr
Stop Waiting To Be AI-Ready  @bernardmarr
Uploaded September 2026 | Updated September 2026, 2 hours ago
Do you need to fix all your data and modernize every legacy system before you can start scaling AI? 🤖 #Sponsored

Matthias Patzak, AWS Executive in Residence and former CTO, argues that one of the biggest myths around AI readiness is that organizations should wait until everything is ready.

Instead, start with important use cases and become AI-ready through the process.

In this short conversation, we explore:

1️⃣ Why companies shouldn’t wait for perfect data before starting with AI
2️⃣ Whether AI can scale on legacy infrastructure
3️⃣ Why connectivity, governance and access controls become increasingly important
4️⃣ Why every AI use case cannot keep starting from zero
5️⃣ How shared AI platforms, model access, agent routing, guardrails and cost transparency can help organizations scale

The message is simple: AI readiness can be something you build through action.

See how Thomson Reuters modernized on AWS with agentic AI: fandf.co/45xtH2O

#Sponsored #AWSPartnership #AI #ArtificialIntelligence #EnterpriseAI #AWS #AIInfrastructure #AgenticAI #DigitalTransformation
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Bernard Marr |

Stop Waiting To Be AI-Ready

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