AI in supply chain: from demand forecasting to AI agents
Summary
Healthcare AI adoption is accelerating fastest in radiology while expanding across diagnostic imaging, clinical documentation, drug discovery, and administrative automation. As regulatory requirements like the European AI Act classify clinical systems as high-risk,
Summary generated by brickster.ai. For the full article, follow the source link above.
More from Databricks Blog
How NorthStar Anesthesia built a scheduling app for a workforce of 3,000 clinicians in weeks
NorthStar Anesthesia built and shipped a custom scheduling app for 3,000 clinicians in just weeks using Databricks Apps. By leveraging their existing security and data infrastructure,
From prototype to production: High QPS for Databricks AI Search
2: The update enables real-time search, recommendations, and entity resolution without managing replicas, sizing nodes, or building load balancers, complete with built-in UI observability for QPS, latency,
How Databricks manages its own coding agent spend with Unity AI Gateway Budgets
Databricks governs its internal AI spend by routing every coding agent through Unity AI Gateway for centralized policy enforcement, spend controls, and unified observability. By pairing separate daily and monthly budgets with self-service budget increases, this governance model prevents runaway costs without slowing down developer productivity.
Get Started with Genie One: Top AI Cowork Use Cases for Business Users
Genie One enables business users to automate recurring reviews and meeting workflows by pulling governed data into calendar-aware briefs and consistent reports. By packaging these processes into reusable AI skills and agents, teams can
The EU Digital Product Passport: a traceability deadline
The EU Digital Product Passport makes product traceability a mandatory condition for market access starting in February 2027, turning data availability and quality into the primary implementation challenge for global producers. Databricks provides
AI customer service: strategy, agents, and solutions guide
AI customer service can reduce operational costs by up to 30% and accelerate resolution times, but navigating hallucination risks and data privacy concerns requires a structured rollout. Successful deployment depends on