Great point. Choosing an AI engine is becoming less about the model itself and more about how well human-AI workflows stay grounded in real context. When that chemistry is right, the impact becomes measurable fast. Nice breakdown from the team.

Where AI Choice Becomes Enterprise Momentum This moment at Ignite makes one thing clear: the winners in the AI era are not the ones picking engines, they are the ones building chemistry. Claire Edgson captures a powerful truth, transformation begins when organizations let human intent and machine intelligence shape workflows together, turning complexity into clarity. What Capgemini and Microsoft are demonstrating is the new blueprint for impact, where agentic systems, cloud foundations, and disciplined governance converge to create real value at scale.

Thought-provoking look at the choice of AI and the maximization of human-AI synergy as a business. Capgemini

The repetitive tasks, the mundane - that is what we're on about. Picking the right AI engine for right task! ✅

Great insights from Capgemini. Most companies jump straight into picking AI tools, but this post makes an important point - real results come when people and AI work together with clarity. This breakdown gives viewers a practical way to think about AI choices and how to turn them into real business impact.

Great guiding principles. Rethinking the process based on expected, outcome-driven results is fundamental to harnessing the power of AI enablers.