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Top Gen AI Use Cases: How to Turn Unstructured Data into Insights

Snowflake

Use cases range from getting immediate insights from unstructured data such as images, documents and videos, to automating routine tasks so you can focus on higher-value work. Gen AI makes this all easy and accessible because anyone in an enterprise can simply interact with data by using natural language.

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How Natural Language Processing of Unstructured Data is Improving Healthcare Outcomes

KDnuggets

Healthcare generates a vast amount of unstructured data, including clinical notes, patient messages, and research articles. This data contains valuable insights that can significantly improve patient care, but are difficult to include in traditional modeling techniques due to its unstructured format.

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Introducing Agent Bricks: Auto-Optimized Agents Using Your Data

databricks

Watch the video with Experian and Flo Health “With Agent Bricks, our teams were able to parse through more than 400,000 clinical trial documents and extract structured data points, without writing a single line of code. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

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Accelerate AI Development with Snowflake

Snowflake

GPU-based model development and deployment: Build powerful, advanced ML models with your preferred Python packages on GPUs or CPUs serving them for inference in containers — all within the same platform as your governed data. A single integration endpoint simplifies the application architecture.

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Top 10 Data Engineering & AI Trends for 2025

Monte Carlo

Small data is the future of AI (Tomasz) 7. The lines are blurring for analysts and data engineers (Barr) 8. Synthetic data matters—but it comes at a cost (Tomasz) 9. The unstructured data stack will emerge (Barr) 10. But is synthetic data a long-term solution? Probably not. All that is about to change.

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Top 3 Healthcare and Life Sciences Data + AI Predictions for 2024

Snowflake

And the potential impacts of artificial intelligence (AI) on the healthcare and life sciences industries are expected to be far-reaching. It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment.

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How Healthcare and Life Sciences Can Unlock the Potential of Generative AI

Snowflake

Realistic synthetic data created at scale, expediting research in rare under-addressed disease areas. These are just a few examples of how generative AI and large language models (LLMs) are transforming the healthcare and life sciences (HCLS) industry. Generative AI applications in HCLS According to a recent KPMG survey , 65% of U.S.