In this video, Brad Foster, global head of enterprise data content at Bloomberg, discusses the data and data management elements of successful ESG initiatives. Among these he notes the need for a solid data and technology foundation, as well as links between ESG data and other datasets to gain insight and value from the data. ESG data, he concludes, must become an extension of a firm’s existing data strategy.
The theories of data governance and ownership are well rehearsed. Essentially, data governance includes rules and processes that make data accurate, compliant and accessible, ensuring the right users can access trusted data as and when they need it. Data ownership assigns responsibility and accountability for a specific dataset to an individual or team that can...
A-Team Group’s inaugural AI in Data Management Summit NYC set a new benchmark in the global discussion around artificial intelligence. Leading figures from the worlds of finance and technology gathered in New York to share best practice guidance and observation, real-world case studies and forecasts for the exciting – and challenging – year ahead. The...
Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.
Want to get a handle on Solvency II and what it means for data management? Need to make sure you have all the bases covered for the looming January 2016 deadline? Our Solvency II Data Management Handbook is now available for free download to help you. This Handbook is the ultimate guide to all things...
