Swiss RE’s SVP of P&C R&D, Jerry Gupta on AI Innovation and Building Revenue-Enhacing Data Models

07/27/22 • 50 min

Swiss RE’s SVP of P&C R&D, Jerry Gupta is a firm believer in the revenue-generating potential and AI and machine learning. On this episode of The Data Chief, Jerry offers his view on innovative data model, frameworks for building and operationalizing these models, what makes a good data scientist, and why it will always be more challenging for data teams to maintain existing models vs. innovate new ones.

Tune in to learn:

The difference between ost cutting versus revenue-enhancing initiatives 03:20
More about the Data Model framework 07:50
Why the quality of your output depends on the quality of your input 11:35
How to address the shortfall of data scientists in the job market 13:48
How to set more clear value statements for models 27:56
More about informing the regulation of ethical AI and machine learning 45:33

Mentions:

Get even more insights from data and analytics leaders like Jerry on The Data Chief.

Mission.org is a media studio producing content for world-class clients. Learn more at mission.org.

Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Tune in to learn:

The difference between ost cutting versus revenue-enhancing initiatives 03:20
More about the Data Model framework 07:50
Why the quality of your output depends on the quality of your input 11:35
How to address the shortfall of data scientists in the job market 13:48
How to set more clear value statements for models 27:56
More about informing the regulation of ethical AI and machine learning 45:33

Mentions:

Get even more insights from data and analytics leaders like Jerry on The Data Chief.

Mission.org is a media studio producing content for world-class clients. Learn more at mission.org.

Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Previous Episode

undefined - American Express CDO and EVP Enterprise Digital & Data Solutions, Pascale Hutz on Managing Data as a Product and Rewarding Creative Destruction

American Express CDO and EVP Enterprise Digital & Data Solutions, Pascale Hutz on Managing Data as a Product and Rewarding Creative Destruction

What keeps a data pro at one company for almost thirty years? On this episode of The Data Chief, Pascale Hutz, the Chief Data Officer and EVP of Enterprise Digital & Data Solutions at American Express, shares how her career at American Express has transformed over the years and what she’s learned along the way. Tune in to hear more about her latest cloud migration journey, why she’s on a “mission to decommission,” and how she fights imposter syndrome even as a C-level executive in one of the largest, most impactful financial services firms in the world.

Tune in to learn:

About Pascale’s career journey (03:41)
That data should be considered like a product 14:18:
How to stay tranquil during transformation (17:02)
The importance of decommissioning tech (21:21)

Mentions:

"Data Mesh: Delivering Data-Driven Value at Scale" (written by Zhamak Dehghani)
World50
“Enterprise Data Platforms, American Express, VP: The Data Landscape is Evolving Continuously”
“Not Impossible” (written by Mick Ebeling)

Get even more insights from data and analytics leaders like Pascale on The Data Chief.

Mission.org is a media studio producing content for world-class clients. Learn more at mission.org.

Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Next Episode

DoorDash’s VP of Analytics & Data Science, Jessica Lachs on Leveraging Data to Delight Customers Despite a Challenging Supply Chain

Who’s hungry? Thanks to delivery apps like DoorDash, it’s never been easier for modern consumers to satisfy almost any craving in just a few taps. At the helm of DoorDash’s data organization is VP of Analytics & Data Science, Jessica Lachs. With metrics guiding every decision at the company, a key part of her decision-making comes down to properly quantifying the value of each possible tradeoff. Learn more about her decision-making framework, plus how her career in finance evolved into entrepreneurship and ultimately led her to create the data and analytics organization at DoorDash.

Tune in to learn: