Speaker: Jay Alammar

VC and Machine Learning Explainer @STVcapital

Through his blog and lessons on Udacity, Jay has helped tens of thousands of people wrap their heads around complex machine learning topics. Jay harnesses a visual, highly-intuitive presentation style to communicate concepts ranging from the most basic intros to data analysis, interactive intros to neural networks, to dissections of state-of-the-art models in Natural Language Processing. Jay is a Partner at STV, a $500m tech venture capital fund.

Find Jay Alammar at

Preliminary tracks

Discover some of the topics you will see at QCon London. *The schedule is subject to change

Event-Based Architectures: The Hard Parts

Architectures You've Always Wondered About

Building High Performing Teams

Scaling Security, from Device to Cloud

From Remote to Hybrid Teams: Return to Office?

Performance/Mechanical Sympathy

Next Generation Microservices: Building Distributed Systems the Right Way

The Cloud Operating Model

Chaos and Resilience: Architecting for Success

Modern Data Pipelines & Streams

Scaling Frontend

Modern JVM Innovations

MLOps: Implementing ML Across the Enterprise

Architecting a Modern Financial Institution

Crafting the Developer Experience

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