Day 1 of The Future of Data-Centric AI virtual conference 2023 featured the creator of Spark, the first U.S. Chief Data Scientist, and others.

Ahmad Khan, Snowflake’s head of AI /ML strategy, presented “Scalable SQL + Python ML Pipelines in the Cloud” at |The Future of Data-Centric AI in 2022.

The Future of Data-centric AI will bring together a star-studded lineup of expert speakers from ML, AI, and data science.

Three experts gave a look into Capital One’s data-centric solutions to solve the bank’s business problems and improve customer experience.

William Huang, senior data scientist at Capital One, discussed “dataset cartography” and its value at the Future of Data-Centric AI 2022.

To empower our enterprise customers, we redesigned the ML systems behind Snorkel Flow to make sure we were meeting customer needs.

Snorkel Flow handles intense machine learning workloads, and we’ve built our infrastructure on a foundation of Kubernetes—which was not designed with machine learning in mind.

Forward-looking companies in finance, including banks, have looked to technology to meet challenges and are reaping the rewards of doing so.

Snorkel AI teamed up with Hugging Face to provide enterprises with even more flexibility and choice as they develop AI applications.

Physician notes and other sources of unstructured data can offer insight into drugs’ negative side effects. Here’s how modern machine learning tools can help turn all that data into a useful resource.

McKinsey’s Carlo Giovine and David Harvey present “Trends in Enterprise ML and the potential impact of Foundation Models” at Snorkel’s Foundation Model Summit.

Jay Alammar, director and engineering fellow at Cohere, presents strategies to enhance the value of Generative AI.

Snorkel AI, Google Cloud and Vertex AI partner to help organizations transform data into AI-powered systems faster than ever.

This introduction to Kubernetes explains why it became such a popular framework to run applications over the past few years.

Ali Arsanjani, director of cloud partner engineering at Google Cloud, presented a talk entitled “Challenges and Ethics of DLM and LLM Adoption in the Enterprise” at Snorkel AI’s recent Foundation Model Virtual Summit.