Assessing practical strategies to collate information from across the enterprise to enhance decision making

12 September 2023 | Virtual Event

Agenda Day One - 12 September 2023

9:00 am - 9:30 am EST OPENING ADDRESS INSIGHT: Decision Intelligence 101 to make better business decisions

Vino Kingston - Data Platforms & Technologies Sr. Manager, Lockheed Martin

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:

  •  How DI involves a range of techniques and tools, including machine learning, optimization, simulation, and decision analysis, to generate insights and guide decision-making
  • The importance of how DI can help decision-makers identify opportunities to improve processes, reduce costs, and increase efficiency
  • How DI can aid identifying strategies to mitigate negative consequences and manage risk
img

Vino Kingston

Data Platforms & Technologies Sr. Manager
Lockheed Martin

9:30 am - 10:00 am EST ACCESS MANAGEMENT CASE STUDY: How Decision Intelligence integrates RPA Digital Workers to transform into an Intelligent Digital Workforce

Adrian-Vincent Usi - Senior Product Manager and Leader, Decision Intelligence and Automation, Boeing

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:

  • Outlining the timeline that led to incorporating DI into RPA Digital Workers/BOTs
  • Explaining how DIA has supported front-line access management teams to reduce cycle time by 20%, increase quality, and improve customer experience
  • How DI will grow within Boeing to mature Digital Workers to an Intelligent Digital Workforce
img

Adrian-Vincent Usi

Senior Product Manager and Leader, Decision Intelligence and Automation
Boeing

10:00 am - 10:30 am EST CASE STUDY: Spearheading data muscles to work centrally as a decision eco system and minimise risk

Genaral Rukanda - Senior Manager of Adjudication Strategy & Property Analytics, Canada Guaranty

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:

  • How the evolution of data models, migrating rules and centralization of data enabled a 25% increase in departmental efficiency to enable decision makers to be presented with quality data to make real-time decisions
  • How the originations of the credit risk function and credit risk modelling have developed to support data mining efficiency and robustness of models... this is turn has enabled business growth and sales to double.
  • How decision intelligence can enable decision makers across the company to measure, quantify, and predict risk to create a consistent methodology steeped in data-driven insights
img

Genaral Rukanda

Senior Manager of Adjudication Strategy & Property Analytics
Canada Guaranty

10:30 am - 11:00 am EST How each new decision intelligence initiative can grow and enhance an organization’s decision-making culture

Noa Umansky - Manager - Strategic Insights Decision Science Team, LinkedIn

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:

  • How DI benefits internal efforts and leads to less friction and improved time spent on high value tasks
  • How real-time effective decision-making can empower business users, analysts and the business culture
  • How business improvements and productivity can be made with a well-defined scope of the DI application
  • Examples of proven decision intelligence and AI capabilities to support internal business productivity
img

Noa Umansky

Manager - Strategic Insights Decision Science Team
LinkedIn