How to Establish Effective Foundations for Data Science and for AI
With industry surveys suggesting a staggering 80% of AI and Data Science initiatives fail to deliver value, we explore approaches - developed over the past 20 years - for increasing the chances of success. We will start with the key risk factors, including: Did it start with "why" - and what is the approach to understanding value? Is it safe to fail - and conducive for learning? Have we dared to think - and step - outside the box? The conversation will then shift focus towards strategies for overcoming these challenges (centred around 3 core initiatives) and then - controversially - considers if we could spin the disadvantages of data silos into actively encouraged strategies.
Edosa is Head of Data Services at AXA – the world's second-largest financial services company by revenue – where his accountability cuts across data vision, strategy, architecture, engineering, science, AI, governance, digital and data operations. Prior to AXA, he has played senior data leadership roles within a variety of multinational organisations – including Barclays Group, the European Commission, Allianz Cornhill Insurance and British Sky Broadcasting Corporation.