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