Scaling Generative AI: A Path to Success

Technology
Written By Yoann Lemain

As businesses move past the initial excitement of generative AI, the focus is shifting to real-world value creation. With 65% of companies using gen AI, the challenge is now scaling these solutions for measurable impact. But how?

A well-defined operating model is the key. Here's how leaders can structure it:

  • Avoid common pitfalls: Don’t fall into the “tech for tech’s sake” trap. Gen AI initiatives must align with clear business outcomes, not just be shiny experiments.

  • Data as the backbone: Successful gen AI implementation requires organizing your data. Prioritize governance and create a strategy that addresses both structured and unstructured data.

  • Component-based development: Adopt a flexible model that allows for adding and updating gen AI components as needed. This keeps your tech stack adaptable to fast-paced AI evolution.

  • Team structure: Decide whether to extend existing teams or create dedicated gen AI teams. Both models have their advantages, but coordination is crucial to avoid duplication.

  • Governance is critical: Build robust risk and compliance structures. Gen AI can be powerful but comes with risks—make sure you’re ready to manage them effectively.

The path forward requires a strategic operating model, clear governance, and continuous adaptability. Are you ready to unlock gen AI’s full potential?

Yoann Lemain
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