BETA

The EDM Council is pleased to add search capabilities to our website. This is currently in beta (testing) mode.

We appreciate any feedback regarding the new search functionality or on any aspect of your website experience.

Contact Us
Webinars
Past Webinar

AI, Data & Analytics Controls (ADAC): Using CDMC for AI Use Case Governance

Date and Time

Tue, May 7, 2024
Read the 3-minute summary

Details

Join us for our EDMWebinar which will cover the AI, Data & Analytics Controls (ADAC) framework, a pivotal extension of the CDMC to encompass governance for Analytics & AI use cases.

In this session, we will delve into the development of the ADAC framework, which will offer a comprehensive overview and will detail best practices and automations for managing risks within AI and Analytics platforms. ADAC builds upon the CDMC (Cloud Data Management Capabilities) industry framework, which defines the standards for effective data management, controls and automations to protect sensitive data. CDMC was developed by a consortium including EDM Council, LSEG, Morgan Stanley, Goldman Sachs, JPMorgan, AWS, Azure, Google, and Snowflake in 2021.

Our webinar will also highlight the ADAC working group, which convenes on Mondays at 3 pm GMT / 10 am EST. This group includes representatives from financial services firms such as Standard Chartered, UBS, and JPMorgan, as well as subject matter experts from specialist AI, data, and analytics firms, including Databricks.

Learn more about the ADAC group and get involved!

Speakers

Oli Bage
Founder & Co-Chair, Cloud Data Management Capabilities (CDMC) initiative, EDM Council, Head of Architecture, Data & Analytics, LSEG
Lexy Kassan
Lead Data & AI Strategist, Databricks
Moderator: Jim Halcomb
Head of Product Management, EDM Council

Post-event summary

The webinar titled “AI, Data & Analytics Controls (ADAC): Using CDMC for AI Use Case Governance,” hosted by EDM Council, featured a dynamic and insightful discussion among industry experts:

  • Oli Bage, Founder & Co-Chair, Cloud Data Management Capabilities (CDMC) initiative, EDM Council, Head of Architecture, Data & Analytics, LSEG
  • Lexy Kassan, Lead Data & AI Strategist, Databricks
  • Moderator: Jim Halcomb, Head of Product Management, EDM Council

Jim introduced the session, emphasizing EDM Council’s Data management Capabilities Assessment Model (DCAM) and the Cloud Data Management Capabilities (CDMC) framework. Oli detailed the evolution of CDMC since its inception, noting its widespread adoption by major financial institutions and tech companies. He explained how the framework’s automation of data controls could be extended to manage AI and analytical assets, including machine learning models and financial models.

Lexy discussed the new ADAC controls, emphasizing the importance of ethics and model quality in AI governance. She explained that the framework addresses use case evaluation, ongoing monitoring, and auditing to ensure fairness, transparency, and accountability in AI applications. Lexy highlighted that “even if you’re not in financial services as an industry, almost every industry is going to have at least some amount of models that may fall into a high-risk classification.”

The webinar concluded with an invitation for participants to join the ADAC working group, which meets to refine the framework and incorporate industry feedback. The session also touched on the potential integration of ADAC with existing frameworks like CDMC and new standards such as those from the Data and Trust Alliance.

In summary, the webinar underscored the necessity of automated controls for managing AI risks and the importance of ethical considerations in AI governance. The expanded CDMC framework aims to provide comprehensive, automated, and scalable solutions for AI and analytics risk management across various industries.

Topics