56 min listen
Société Générale’s Innovation Data & AI Leader Julien Molez on Creating a Value-Driven Data Framework
FromThe Data Chief
Société Générale’s Innovation Data & AI Leader Julien Molez on Creating a Value-Driven Data Framework
FromThe Data Chief
ratings:
Length:
45 minutes
Released:
Sep 21, 2022
Format:
Podcast episode
Description
At French bank, Société Générale, providing the best customer experience in the modern digital world means rethinking everything about banking, including its corporate structure. Three years ago, Julien Molez, joined the bank’s leadership team to become the first Innovation Data & AI Leader. On this episode of The Data Chief, Julien addresses changes sweeping the banking industry, including higher customer expectations, tougher regulations, and the ESG revolution. He also reminds us that at the end of the day, fancy AI models and algorithms will only perform as well as the data that goes into them. Tune in to learn:Creating a value-driven data framework (06:31)How do you achieve customer personalization while adhering to GDPR? (15:29)How do you truly secure data at all touchpoints? (20:29)How is Société Générale leading in ESG reporting? (23:44)What were Société Générale’s unique challenges in scaling up AI use cases? (28:55)How do you educate business stakeholders about the best data possibilities? (35:56)What is a key data framework technique? (40:00)Get even more insights from data and analytics leaders like Julien on The Data Chief. Mission.org is a media studio producing content for world-class clients. Learn more at mission.org.
Released:
Sep 21, 2022
Format:
Podcast episode
Titles in the series (93)
Schneider Electric's Gustavo Canton on optimizing human potential with AI and automation: Joining Cindi today is Gustavo Canton, VP of People Analytics at Schneider Electric. Gustavo has been with Schneider Electric for nearly three years, where he’s been a change agent driving innovation across Schneider’s growing data initiatives. In today's episode, Cindi and Gustavo discuss using automation to augment (not replace) humans, rebranding HR, scaling pandemic adaptation, the impact of staff well-being on performance, intuiting what customers really need, and team-building. Key Takeaways: People aren't machines (and vice versa). Organize the structure so people are doing the work that only humans can do, and allow algorithms to take care of repetitive, mundane, report-driven tasks. Monitor employee well-being and the impact on performance. We now have the technology to monitor and adjust the variables -- such as workplace air quality -- that contribute to (or detract from) staff well-be by The Data Chief