Highlights from the O’Reilly Artificial Intelligence Conference in London 2019
Experts explore AI's most promising developments, emerging technologies, and profitable use cases.
AI London 2019
When to trust AI
Marta Kwiatkowska provides an overview of techniques being developed to help improve the robustness, safety, and trust in AI systems.
When flying is cheaper than standing still
Raffaello D’Andrea presents his vision of how autonomous indoor drones will drive the next wave of robotics development.
Machine learning challenges at LinkedIn: Spark, TensorFlow, and beyond
Zhe Zhang provides an architectural overview of LinkedIn’s machine learning pipelines.
Accelerate with purpose
Walter Riviera discusses three key shifts in the AI landscape.
The quest for high-quality data
Ihab Ilyas describes the HoloClean framework, a prediction engine for structured data with direct applications in detecting and repairing data errors.
Real-time AI for entity resolution
Jeff Jonas details how you can use a purpose-built real-time AI to gain new insights and make better decisions faster.
The power of knowledge at scale
Alexis Crowell Helzer outlines a practical approach to implementing machine learning.
Building and deploying AI applications and systems at scale
Ben Lorica and Roger Chen review how companies are building AI applications today.
Large-scale machine learning at Facebook: Implications of platform design on developer productivity
Kim Hazelwood and Mohamed Fawzy look at how applied ML has changed the platforms and infrastructure at Facebook.