Name: Discovering Databricks hosted by Mastercard
Start: 2025-09-09T16:30:00.000Z
Location: Mastercard

**APOLOGIES WE NEED TO POSTPONE THIS SESSION**

Are you ready to dive into the fascinating world of Databricks, AI and Gen AI? Join us for an unforgettable evening hosted by Mastercard, where you'll have the chance to network with fellow AI enthusiasts and gain invaluable insights from our expert speakers who will provide valuable insights into the platform and how it can be leveraged for both AI and Gen AI use cases.

Whether you're a seasoned developer or just starting out, this event is the perfect opportunity to expand your knowledge, connect with like-minded professionals, and be part of the AI revolution
**Why Attend?**

* **Practical Applications**: Explore real-world applications of AI algorithms, including with Mastercard, and understand their impact on the industry.
* **Discover the Latest Advancements**: Learn about the cutting-edge developments in Databricks and how they're revolutionizing the industry.
* **Reshaping Machine Learning**: Find out how Databricks is transforming the way we approach machine learning.

**Speakers**
**Ruizhi Wang** (Software Engineering Directory, Mastercard)
As a technology and engineering leader, Ruizhi excels in leading agile, multidisciplinary teams to deliver innovative solutions using cutting-edge technologies. His extensive experience in cloud, AI, and data architecture drives impactful business outcomes from data-centric solutions.

**David Fagan** (Director, Data Science, Mastercard Privacy Enhancing Technologies Centre of Excellence)
David joined Mastercard in 2019 as part of its independent privacy subsidiary Trūata, working on privacy-enhanced analytics R&D and leading the privacy risk assessment business function. Recently, David transitioned fully into Mastercard, where he has taken on the role of data cleanroom lead for Mastercard in the PETs COE, where he drives innovation and adoption of the technology within MA. David has a PhD in Evolutionary Computing and is a widely published and patented researcher in the AI/ML space.

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