S3E12: 'How Intentional Experimentation in A/B Testing Supports Privacy' with Matt Gershoff (Conductrics)

The Shifting Privacy Left Podcast

Today, I'm joined by Matt Gershoff, Co-founder and CEO of Conductrics, a software company specializing in A/B testing, multi-armed bandit techniques, and customer research and survey software. With a strong background in resource economics and artificial intelligence, Matt brings a unique perspective to the conversation, emphasizing simplicity and intentionality in decision-making and data collection.
In this episode, Matt dives into Conductrics' background, the role of A/B testing and experimentation in privacy, data collection at a specific and granular level, and the details of Conductrics' processes. He emphasizes the importance of intentionally collecting data with a clear purpose to avoid unnecessary data accumulation and touches on the value of experimentation in conjunction with data minimization strategies. Matt also discusses his upcoming talk at the PEPR Conference and shares his hopes for what privacy engineers will learn from the event.
Topics Covered:

• Matt’s background and how he started A/B testing and experimentation at Conductrics
• The major challenges that arise when companies run experiments and how Conductrics works to solve them
• Breaking down A/B testing
• How being intentional about A/B testing and experimentation supports high level privacy
• The process of the data collection, testing, and experimentation
• Collecting the data while minimizing privacy risks
• The value of attending the USENIX Conference on Privacy Engineering Practice & Respect (PEPR24) and what to expect from Matt’s talk

Guest Info:

• Connect with Matt on LinkedIn
• Learn more about Conductrics
• Read about George Box's quote, "All models are wrong"
• Learn about the PEPR Conference

Send us a Text Message.

Privado.ai
Privacy assurance at the speed of product development. Get instant visibility w/ privacy code scans.
Shifting Privacy Left Media
Where privacy engineers gather, share, & learn
Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.
Copyright © 2022 - 2024 Principled LLC. All rights reserved.

פרקים

1. Privacy and Decision Making in Tech (00:00:00)

2. The Value of a/B Testing (00:04:55)

3. Value of a-B Testing and Experimentation (00:15:32)

4. Privacy by Design and Data Minimization (00:19:29)

5. Pepper 24 Conference Discussion (00:34:51)

6. Benefits of Privacy in Data Management (00:39:14)