DI is focused on helping decision-makers understand the trade-offs and uncertainties involved in complex decisions and identifying the most effective course of action.
DI takes a holistic approach to decision-making, considering both quantitative and qualitative factors, as well as the context in which decisions are made. This session with Vino Kingston, Data Platforms & Technologies Sr. Manager, Lockheed Martin will discuss:
Boeing's Decision Intelligence & Automation (DIA) team as stood up in 2017, has grown throughout the Enterprise to deliver over a million hours of efficiency, cost savings, and capacity savings. We'll be joined by Adrian-Vincent Usi, who'll be outlining how Boeing has applied Decision Intelligence (DI) to Automation capabilities to enhance digital workers to intelligent digital workers by:
Traditional risk management approaches are no longer the optimal way of dealing with the emerging risk landscape because it excludes key factors--such as proactive risk prediction, uninsurable risks and understanding the relationship between different types of risks--that are only present within complex data. Organizations can improve risk intelligence by increasing visibility in key risk areas. This session with Genaral Rukanda, Risk Management and Decision Science, Toronto-Dominion Bank (current) Former, Head of Credit Risk, Bayport Financial Services will address:
Organizations continue to struggle to become data-driven, with only 26.5% reporting they have achieved this goal, and only 19.3% reporting having established a data culture.
When combined with the reality of the growing technical skills gap, automation is one of the best answers for solving this problem and analysing data at scale. Decision intelligence democratizes analytics for every user, making it possible for both analysts and business users to tap into the data lake. In this session, we’ll be joined by, Michelle Robbins, Decision Science Leader, LinkedIn who will address: