Mike Tung on lessons learned from building, maintaining, and using a knowledge graph with over a trillion connected facts.
Key AI and Data Trends for 2022
What lies ahead in data platforms, machine learning, MLOps, and DataOps
Large Language Models
Connor Leahy and Yoav Shoham on recent developments in NLP and potential applications of large language models.
Data and Machine Learning Platforms at Shopify
Azeem Ahmed on the evolution of Shopify’s data and machine learning platforms, and the power of the lakehouse architecture.
What is AI Engineering?
Christopher Nguyen on the qualitative and quantitative design, construction, and operation of systems with AI capabilities.
NLP and AI in Financial Services
Anshul Pandey on building a no-code AI platform for accelerating innovation in financial services.
Modern Experimentation Platforms
The Data Exchange Podcast: Che Sharma on how seamless end-to-end experimentation workflows supercharge product development.
Reinforcement Learning in Real-World Applications
The Data Exchange Podcast: Nic Hohn and Max Pumperla on lessons learned from applying RL to industrial problems.
MLOps Anti-Patterns
The Data Exchange Podcast: Nikhil Muralidhar on lessons learned from developing and deploying machine learning models at scale.
Why You Need a Modern Metadata Platform
The Data Exchange Podcast: Pardhu Gunnam and Mars Lan on why a metadata fabric is key to building data services…