inflexion.ai Podcast

The 4 Stages of AI Implementation — with Sunilkumar Ramakrishnan of IBM

Episode Summary

In this episode, Sunilkumar Ramakrishnan distills the four stage framework used at IBM when implementing AI strategies for enterprises worldwide. Sunil is the global leader for artificial intelligence consulting at IBM in the chemicals, petroleum & industrial products Industries and has a strong background in managing consulting. Linkedin: https://www.linkedin.com/in/sunilkumarramakrishnan/

Episode Notes

To effectively leverage artificial intelligence, organisations can benefit from first understanding the primary stages of successful implementation. This foundation will orient the direction of AI strategies and the expectations of realistic timelines for returns. In this episode, Sunilkumar Ramakrishnan distills the four stage framework used at IBM when implementing AI strategies for enterprises worldwide.
A high level summary:

• The role of automation in collecting data
• The 4 stage framework used at IBM
• What is machine learning and its role in an AI strategy
• How different levels of management can impact AI implementation
• The impact of AI in future proofing companies against an ageing workforce
• A practical case-study of successful AI implementation in an global enterprise
• And much more

Sunil is the global leader for artificial intelligence consulting at IBM in the chemicals, petroleum & industrial products Industries and has a strong background in managing consulting.

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Connect with Sunil:

Linkedin: https://www.linkedin.com/in/sunilkumarramakrishnan/

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Linkedin: www.linkedin.com/in/jamesqn

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