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Predictive analytics is an information technology using data, statistics and machine learning techniques to identify the likelihood of future outcomes based on historical data.
Advancements in data and predictive analytics now make machine learning and artificial intelligence more accessible and understandable to a much wider audience and organisations are now using it to detect fraud, improve operations, plan and optimise marketing campaigns or reduce risks.
But, without a mathematical background, how can we ensure models are used responsibly? And how can we avoid models re-enforcing their own predictions?
Join our lead discussants including Pete Bradbury, Business Architect at Capita One and Damilola Adewuyi, Head of Business Analysis at GDS as we explore practical examples of using predictive analytics to help organisations make important decisions.
The salon will be followed by networking drinks. Places at the salon are limited, so please register now to secure your space.