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55 articles

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Healthcare & Life Sciences(12)

Data Strategy(5)

Manufacturing(5)

Financial Services(4)

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Retail & Consumer Goods(4)

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AI•2026-05-20

How telecom CFOs can make smarter network capex decisions with AI

Telecom CFOs can improve network capital expenditure decisions by leveraging AI to unify and analyze operational, financial, and customer data.

Telecommunications

Data Engineering•2026-05-20

How Databricks Genie improves retail personalization

Databricks Genie is an AI-powered data agent that empowers retail CX leaders and merchandisers to query unified customer data in natural language without SQL expertise.

Retail & Consumer Goods

AI•2026-05-19

How Databricks Genie improves supply chain visibility with real-time AI analytics

Databricks Genie enables supply chain leaders to make real-time, proactive decisions through AI-powered natural language queries on operational data.

Data Engineering•2026-05-19

A CFO’s guide to managing value-based care financial performance

Value-based care shifts healthcare reimbursement from volume to outcomes, requiring CFOs to manage financial performance differently.

Healthcare & Life Sciences

Security•2026-05-19

Why AI Security Infrastructure is Now a CMO Priority

This article explains why AI-powered security infrastructure has become a priority for CMOs and enterprise leaders.

AI•2026-05-18

The question your commercial data should already be able to answer

Databricks and Veeva integrate AI agents directly into Vault CRM, enabling pharmaceutical field teams to access commercial insights within their existing workflows.

Healthcare & Life Sciences

AI•2026-05-14

From manual to autonomous: how AI agents are transforming electric grid operations

The electric utility industry faces unprecedented challenges from demand growth and aging infrastructure requiring rapid AI agent deployment for grid reliability.

Architecture•2026-05-13

Clinical operations intelligence belongs on the Lakehouse

Databricks Site Feasibility Workbench brings clinical operations intelligence to the Lakehouse, enabling AI-driven site selection by training ML models on institutional historical data rather than industry benchmarks.

Data Engineering•2026-05-12

The Rise of Sports Intelligence: How the Lakehouse Turns Tracking Data into Competitive Advantage

This article explores how Databricks' Data Intelligence Platform (lakehouse architecture) unifies and analyzes massive tracking data from professional sports.

AI•2026-05-11

Predictive Quality Starts Where Defect Detection Stops

Predictive quality uses machine learning to forecast manufacturing defects before they occur, shifting from reactive defect detection to proactive prevention.

AI•2026-05-11

Retail markdown optimization: from reactive markdowns to proactive

Databricks Genie enables merchandising teams to close the gap between data insights and strategic markdown decisions using natural language queries.

Retail & Consumer Goods

Backend•2026-05-08

How Superhuman and Databricks built a 200K QPS inference platform together

Superhuman and Databricks partnered to build a 200K QPS inference platform serving grammatical error correction at massive scale.

Data Science and ML

AI•2026-05-08

Addressing HR's widening capacity gap with AI

HR teams face capacity gaps with 95% reporting excessive stress, addressable through incremental four-phase AI transformation.

AI•2026-05-08

MCP Marketplace Brings Real-Time Intelligence to Agentic Applications

The MCP Marketplace enables agentic applications to leverage real-time external data for autonomous decision-making, beyond executing workflows from historical internal data alone.

Data Engineering•2026-05-08

Energy trading analytics in a real-time market

Energy trading requires real-time data access as markets settle every 15 minutes, but batch analytics create information latency that costs traders margin.

Data Engineering•2026-05-08

Operating room utilization is hiding in your scheduling data

Operating room utilization is a critical financial metric in healthcare where most US health systems operate at 65-75% efficiency, below the 80% industry benchmark.

Healthcare & Life Sciences

Data Engineering•2026-05-08

Why telecom churn prediction misses the intervention window

Telecom churn intervention programs miss the optimal intervention window by acting too late in the customer journey.

Telecommunications

Product•2026-05-08

Growth Analytics Is What Comes After Growth Hacking

Growth analytics is the new competitive advantage for modern growth teams, replacing tactical growth hacking approaches.

AI•2026-05-08

Real-world evidence for medical affairs: who can actually use it?

Real-World Evidence (RWE) is increasingly critical for pharmaceutical regulatory, payer, and clinical decisions, but companies struggle to rapidly generate and communicate insights from their data assets.

Healthcare & Life Sciences

AI•2026-05-08

Wealth advisor productivity starts with the client conversation

Databricks Genie enables wealth advisors to access client portfolio data through natural language queries.

Financial Services