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Available On-Demand - This webinar has been recorded and is now available for download.

Expert Panel: Modern Ethics for Modern Data Challenges

Webinar Speaker: James Kobielus, Senior Research Director, Data Management

Date: Monday, December 11, 2023

Time: 12:00 p.m. PT / 3:00 p.m. ET

Modern data management and analytics professionals have begun to address ethics more comprehensively in their practices. Ethics is integral to such established enterprise data and analytics practices as privacy, security, compliance, and algorithmic accountability. In order to manage data and analytics ethically, enterprises often leverage platforms, tools, skills, and techniques that have proven useful in these and other established practices.

In this panel, TDWI senior research director James Kobielus will engage data industry experts from and Dataiku in an in-depth discussion of how enterprises should address ethics in data management and advanced analytics practices. The discussion will focus on several key issues:

What exactly is data ethics?

  • Is data ethics purely a compliance consideration, or can enterprises also accrue strategic and competitive advantages from the adoption of ethical data and analytics management practices?
  • Who should be responsible for data ethics as an operational concern in the enterprise?
  • How should enterprises organize their data and analytics governance practices to better address ethical concerns?
  • How should ethics be incorporated into the required training and certifications for data and analytics practitioners?
  • Do ethical considerations apply equally to all types of enterprise data, or are some data types more ethics-relevant than others?
  • How should businesses address privacy and other ethical concerns surrounding the handling of consumer behavior data, including the sourcing of this data from third parties?
  • What security policies and practices should enterprises implement to ensure effective enforcement of data ethics policies?
  • To what extent should oversight and enforcement of data ethics be automated vs. trusted to “humans in the loop”?
  • What, if any, quantitative metrics should enterprises collect to ensure their compliance with data ethics?

Guest Speakers

Michelle Zhou
Global Head of Product

Michelle Zhou is the global head of product at Near. Michelle joined Near in 2013 and has served as chief business development officer, vice president, global strategy and operations, and vice president, global customer success. Previously, Michelle held multiple technology and business development roles at InMobi and Huawei.

Triveni Gandhi
Responsible AI Lead

Triveni is a Jill-of-all-trades data scientist, thought leader, and advocate for the responsible use of AI who likes to find simple solutions to complicated problems. As responsible AI lead at Dataiku, she builds and implements custom solutions to support the responsible and safe scaling of AI. This includes hands-on training to put RAI principles into practice as well as change management programs that help business leaders translate ethical values into actionable indicators. Triveni also supports field product teams with innovative methods to govern and oversee complex AI problems—often serving as a technical bridge between subject matter experts and engineers. Triveni is a winner of VentureBeat’s Women in AI Award in the category of Responsibility and Ethics in AI and was listed as one of 100 Brilliant Women in AI Ethics in 2022. She holds a Ph.D. in Political Science from Cornell University.

James Kobielus

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