roundtables

Through our off-the-record virtual roundtables, you can remain on the cutting edge of the AI industry from the comfort of anywhere. Experience a candid conversation with 10-12 industry peers to gain a more nuanced understanding of your space. All roundtables are moderated by domain experts.

Have an idea for a roundtable theme? Email your idea to [email protected]

april 29 | 2:00PM ET

The State of AI for Compliance in Financial Services

As part of our on-going roundtable program where we provide business and technology leaders with a candid peer-to-peer learning environment, this roundtable discussion will provide a Q2 2021 snapshot of the ways that AI is impacting compliance efforts within financial services. How are financial institutions assessing risk and managing their compliance programs? How is AI impacting surveillance? What opportunities for innovation exist and how are regulators responding? Join us for a conversation among compliance and risk leaders about the opportunities and challenges that AI represents for compliance programs.

This is a non-recorded discussion to allow participants to gain a candid and nuanced perspective from industry peers. The ideal participants of this roundtable are leaders from financial institutions that hold compliance, risk, control, or IT roles focused on compliance.

Agenda

2:00PM Eastern – 60 Minutes

  • Moderator: Robert Cruz, Vice President of Information Governance, Smarsh

Intended Audience

  • Heads of Compliance
  • Heads of Risk
  • IT leaders focused on compliance
May 19 | 2:00PM ET

The Critical Pillars of a Strong DataOps Program

All machine learning applications, and especially computer vision applications, rely heavily on vast amounts of data to train the models. In production systems, input data is fed into the model to make inferences. These production systems then use the inference outputs as the basis for the training data that serve as inputs for the next iteration. Because of such a data flywheel, the implications of slow iteration cycles and low-quality data can cause a massive negative impact on the overall pipeline. This roundtable will explore this relationship and the various considerations of creating a world class DataOps program: human vs. machine labeling, ensuring data quality, monitoring what additional data the model needs to perform better.

This is a non-recorded discussion to allow participants to gain a candid and nuanced perspective from industry peers. The ideal participants of this roundtable are data scientist, data engineers, and data ops professionals from 1,000+ employee companies.

Agenda

2:00PM Eastern – 60 Minutes

  • Moderator: James Le, Data Advocate, Superb AI

Intended Audience

  • Data Scientists
  • Data Engineers
  • Data Ops / ML Ops
June 9 | 2:00PM ET

The State of AI Adoption in Consumer Lending

As part of our on-going roundtable program where we provide business and technology leaders with a candid peer-to-peer learning environment, this roundtable discussion will provide a Q2 2021 snapshot of the ways that AI is impacting the business of lending. With COVID scrambling the consumer credit picture, how are financial institutions assessing risk and managing their underwriting programs? What opportunities for innovation exist and what’s the ROI? Join us for a conversation among lending leaders about how best to pursue strong recovery.

This is a non-recorded discussion to allow participants to gain a candid and nuanced perspective from industry peers. The ideal participants of this roundtable are lending and risk leaders at banks, credit unions, and other lender organizations.

Agenda

2:00PM Eastern – 60 Minutes

  • Moderator: Mike de Vere, CEO, Zest AI

Intended Audience

  • Senior lending, credit, risk leaders
  • Heads of Credit, Chief Credit Officers, Chief Lending Officers
  • Heads of Risk Management

Interested in sponsoring a roundtable? Email [email protected] to get in touch!