Roche, do morewith Snowflake.

Getting started with AI on enterprise data can seem overwhelming, between getting familiar with LLMs, how to perform custom prompt engineering, and how to get a wide range of LLMs deployed/integrated to run multiple tests all while keeping that valuable enterprise data secure. Well, a lot of these complexities are being abstracted away for you in Snowflake Cortex AI.

By completing this guide, you will be able to go from downloaded maintenance manuals to an interactive application that can help your organization optimize the downtime experienced on your manufacturing equipment.

Learn to fully leverage unstructured customer feedback. This guide teaches you how to translate multilingual reviews, summarize large volumes for specific learnings, categorize text data at scale, and derive customer sentiment. 

This program offers curated content from Snowflake Summit and BUILD, tailored for anyone who’s interested in learning more about these topics, including technical executives and developers. You’ll gain insights into productionizing and scaling generative AI, building agents and agentic applications, exploring architectural patterns, and examining proven AI and ML use cases.

CHG Healthcare powers its staffing solutions with AI/ML, leveraging a network of 1.1 million physicians. They use Snowflake ML for predictive models and Cortex AI for LLM automation—specifically, to auto-author job descriptions securely without any data leaving the Snowflake platform.

This Quickstart has demonstrated how to execute an entire ML experiment cycle—from feature creation to model training and inference—while highlighting key features such as the Snowflake Feature Store, Dataset, Snowpark ML Modeling, and the Snowflake Model Registry.

How can your life sciences company achieve this level of success with AI? It all begins with a modern data strategy. Such a strategy will help you securely centralize, govern, share and collaborate on sensitive data, providing the foundation needed to power AI algorithms successfully. 

Technological advancements are reshaping research. Learn data-driven strategies to accelerate your R&D by harnessing AI for innovation, collaboration, and privacy. Get the tools you need to stay at the forefront, whether you're a researcher, clinician, or technology leader.

Academic medical research centers (AMCs) are essential to healthcare systems worldwide. But they are facing significant obstacles, ranging from long-term financial crises to fierce competition for funding. Now more than ever, the industry is poised to reap the benefits of an effective data cloud solution to meet these challenges and leverage research opportunities.