In this episode of Let’s Talk Business Transformation,Jeff Garwood exploreshow organizations are moving beyond isolated AI models and early experimentstoward foundational AI platforms built for governance, scalability, and realoperational impact. 

In this episode, we discuss: 

• The difference between real-time data and truly actionable data 

• Where AI is already creating measurable impact across sales, service, and commerce 

• How organizations balance speed to value with risk and compliance 

• What it actually means to become “AI-ready” 

Takeaways

• AI is a continuous journey, not a destination.
• Organizations need to bridge the ambition gap in AI.
• Foundational data architecture is crucial for AI success.
• AI should be integrated into everyday business processes.
• Immediate AI applications can enhance operational efficiencies.
• Real-time data is essential for timely decision-making.
• Change management is key to successful AI adoption.
• Not all AI projects carry the same risk; stratify accordingly.
• Service providers play a vital role in AI evolution.
• Start your AI journey by assessing corporate readiness.

Chapters

(00:34) The Year of AI: Trends and Expectations

(02:34) Bridging Ambition and Reality in AI Implementation

(06:41) Foundational Data: The Backbone of AI Success

(10:17) Integrating AI into Business Processes

(12:29) Immediate AI Impact Across Business Functions

(15:31) The Role of Real-Time Data in AI

(17:36) Driving Change: Adoption Strategies for AI

(20:30) Balancing Speed and Risk in AI Deployment

(22:35) Understanding AI-Ready Architecture

(26:07) The Role of Service Providers in AI Evolution

(28:16) Starting Your AI Journey: Key Advice

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