Keith Bourne

Ann Arbor, Michigan, USA

Bio

Keith Bourne is a senior generative AI data scientist at Johnson & Johnson, a global leader in the pharmaceutical industry at the forefront of AI innovation. With over a decade of experience in data analytics, machine learning, and generative AI, Keith has worked on diverse projects across companies ranging from startups to Fortune 50 organizations.

Keith recently authored a book for Packt Publishing called “Unlocking Data with Generative AI and RAG” that has reached into the top 50 AI books on Amazon and showcases his expertise in advanced AI techniques, particularly Retrieval-Augmented Generation (RAG). The book contains numerous code labs and information about implementing RAG in the enterprise. It also addresses advanced topics like Agentic RAG and multi-modal RAG.

Throughout his career, Keith has held various leadership positions in high-growth startup environments, including Senior Generative AI Data Scientist, Staff LLM Data Scientist, Senior Software Engineer, Marketing Director, and Chief Operations Officer. This diverse experience allows him to approach AI and data science challenges with a holistic view of an organization’s strategic direction.

His work at Johnson & Johnson focuses on leveraging cutting-edge AI technologies to revolutionize the pharmaceutical industry, where he has developed sophisticated AI platforms incorporating advanced techniques like foundation model training and fine-tuning.

My Talks

Building and Evaluating a Retrieval Augmented Generation (RAG) Pipeline to Land a Job!

I'm going to do machine learning with GCP! Ok, but how?

Machine Learning on GCP 2019: AI Platform - AI for Everything

Production Ready Document Extraction with Generative AI, LangChain, and Vertex AI on GCP

Taking Generative AI to a New Level on GCP