Until recently, the main driver for investment in Machine Learning (ML) and Artificial Intelligence (AI) has been to gain competitive edge. Nowadays, it is apparent that these technologies are becoming a necessity within the 4th industrial revolution context. All these advancements provide stakeholders with the benefit of AI-powered decision-making, which allows enterprises to improve their operational efficiencies and increase their productivity, revenue and ROI.

However, enterprise adoption has been limited, in part due to the inability of the algorithms to explain their actions. Machine learning models can be non-intuitive and difficult to understand, therefore business owners feel unsure about what their AI/Machine learning models are doing. This webinar will cover methodologies for interpreting AI/Machine Learning  driven processes, since this knowledge is considered crucial for several industries, including financial services.  

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