Five Criteria to Selecting a Successful AI Use Case

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5 Criteria to Selecting a Successful AI Use Case

The potential of AI and machine learning is an exciting development for the chemicals industry. However, machine learning isn’t the best solution for every challenge. In fact, estimated that by 2022, 85% of machine learning projects will fail – showing the need to have a clear understanding of Machine Learning and its suitability for your use case. In this keynote session, learn about the five important criteria for selecting a use case to ensure you start your AI strategy on the right foot.By going through this process, you will be able to understand if machine learning is the best way to approach your pressing issues. Often, it will be. But if you throw ML at an arbitrarily chosen problem, there’s no guarantee that it will be worth the investment.

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