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How to embark in an AI transformation journey

Embarking on an AI transformation journey involves three key phases.

 

First, lay de AI transformation groundwork by defining clear goals, securing governance, ensuring data readiness, and fostering a solid understanding of AI.

 

Next, plot an AI strategy by assessing organizational AI maturity, prioritizing impactful use cases, and launching pilot "lighthouse" projects.

 

Finally, optimize for long-term success by aligning AI initiatives with business objectives, building internal expertise, and continuously improving processes to scale AI across the organization for sustained value creation.

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Note: we follow Arthur D. Little's framework for AI implementation projects. 

1 

Laying the Groundwork

  1. Define goals

  2. Establish governance & sponsorship

  3. Determine data integrity & infrastructure

  4. Demystify AI technologies through demos 

2

Plotting the AI Strategy

  1. Map processes to improve and assess AI readiness

  2. Prioritize AI use cases

  3. Deploy pilots (lighthouse projects)

3

Ensuring Long-term Success

  1. Align AI initiatives with business objectives

  2. Agree on performance measurement framework

  3. Develop internal expertise (enablement)

  4. Deploy new processes and AI systems at scale

  5. Continuously improve

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