Interpretable Machine Learning

As more advanced techniques and implementations continue to be developed on the flip side the adoption rate of these techniques remains debatable. It takes years for these techniques to become prevalent and get integrated with the existing business processes. The Industry laser focuses on the applied part of Artificial Intelligence to solve complex real world problems. To obtain tangible business benefits and ensure that Artificial Intelligence initiatives do not fail, it is imperative that Artificial Intelligence and Machine Learning becomes explainable and interpretable. 

In view of these, we've invited Mr. Serg Masis, a seasoned Climate and Agronomic Data Scientists at Syngenta from Raleigh-Durham-Chapel Hill, North Carolina, United States of America, as he shares with us his insightful views on the challenges and opportunities on the Interpretable Machine Learning and its significant relevance to our digital economy.

LinkedIn: Serg Masis
Website: https://www.serg.ai

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