Sean Falconer
Head of Developer Relations at Skyflow
Sean Falconer, PhD in Computer Science, with a Postdoc in Bioinformatics from Stanford University, brings over 15 years of experience in research, engineering, product, developer relations, and marketing. Prior to Skyflow, he contributed to projects with the World Health Organization, founded Proven.com, and led developer relations engineering for Google's Business Communication products. At Skyflow, Sean leads marketing and developer relations, actively engaging with communities through building, writing, speaking, and fostering discussions on engineering and data privacy.
Sessions
The future of Machine Learning panel
Our "Future of Machine Learning" panel will explore cutting-edge developments and emerging trends that are shaping the field. Leading experts will discuss advancements in areas such as deep learning architectures, reinforcement learning, and federated learning. The panel will delve into practical applications of ML. Join us for a fascinating look into the future of machine learning and its potential to revolutionize industries, scientific research, and our daily lives.
Starts: 1:40 PM
Ends: 2:30 PM
Stop Making Your Data Team the 'Data Police'
When was the last time you performed a mathematical operation on an email address? Or multiplied a credit card number by a passport number? It's absurd, this would be an insane thing to do, yet we keep storing sensitive customer information in our data warehouses, risking PII exposure, as if we need to perform operations like this. This forces our data teams to act as data police, controlling access—a job that's the definition of “not fun” and quickly becomes unmanageable. Companies are then faced with the difficult choice of either locking down all access or granting over-privileged access, neither of which is ideal. But what if there's a better way? In this talk, we'll explore how leading tech companies with the largest amount of customer data solve this problem. We'll look at the architectural patterns they use to balance data security and usability, and how these solutions can free our data teams from their policing duties.
Starts: 4:00 PM
Ends: 4:45 PM