Episode 28: Competing on Trust: Designing Tomorrow’s AI with User Trust in Mind

AI is reshaping the business world, but trust remains the ultimate differentiator. Join Lukas Egger and Katharine Jarmul as they reveal how privacy-first thinking, genuine collaboration, and customer-centric design can unlock the true potential of process transformation.

Discover why trust goes beyond compliance and how it fosters authenticity, transparency, and value creation. Katharine shares actionable strategies for overcoming challenges, bridging gaps between teams, and crafting AI solutions that empower customers.

Tune in to be inspired and equipped for leading your organization into a responsible, trust-driven AI era.

Guest:

Katharine Jarmul

Privacy & Security in Machine Learning and Data Science, Author of Practical Data Privacy

Katharine Jarmul is a privacy activist and an internationally recognized data scientist and lecturer who focuses her work and research on privacy and security in data science and machine learning. You can follow her work via her newsletter, Probably Private, or in her recently published book, Practical Data Privacy (O’Reilly 2023) now also available in German as Data Privacy in der Praxis.

Host:

Lukas N. P. Egger

Head of the Innovation Office & Strategic Projects team at SAP Signavio

Lukas leads a team of experts, steering innovation projects. His approach blends a strong technical understanding with a keen eye for product discovery and digital transformation. Lukas regularly contributes to discussions and panels, sharing his perspectives on AI, the digital zeitgeist, and philosophy. Lukas funded multiple startups, published a humorous philosophy book, and received silver screen quotation for special effects work for an animated movie.

If you want to learn more about:

• Our guest – Katharine Jarmul:  LinkedIn | Personal Website “Kjamistan” | Newsletter “Probably Private”
• SAP Signavio: https://www.signavio.com

If you have questions or comments, email: [email protected]

Additional downloads:

• Download transcript as PDF file