EPRI
Weather forecasting
Forecasts that took 10+ hrs on shared CPU clusters now run in 150 sec—giving grid planners time to act, not just react.
- 50-member weather forecast in 150 sec vs 10+ hrs on CPU
AI use case
Forecasting demand, credit risk, churn, and sales pipelines — foundation models extending traditional forecasting with reasoning over unstructured signals like emails, calls, and reports.
55 case studies (+62% last year)
See where predictive analytics ranks for your industry and your role
Get a free personalized overview of what's working with AI in your industry and your role.
Forecasts that took 10+ hrs on shared CPU clusters now run in 150 sec—giving grid planners time to act, not just react.
Finance, supply chain, and field data scattered across cloud and on-prem systems—no unified view of profitability. One lakehouse, real-time.
Creditworthy but credit-invisible: millions of Colombians locked out. Graph ML mapped their behavior instead, making them legible to lending.
Across 120 markets, fixed dispatch couldn't track pricing shifts or personal goals. AI now adapts to each grid, each user, each goal.
Rent, phone bills, utilities paid on time—proof scattered across silos. Consolidated into AI profiles, the invisible became creditworthy.
Manually pulling flight risk data took half a day — so it never got done. Three words later, Rippling built a scoring rubric from scratch.
Context Windows Pro
Research and prioritise AI use cases with data that shows you what’s working. Upgrade now to unlock the full database.
71 case studies
Personalized experiences, recommendations, and outreach — AI that picks the offer, generates the message, and adapts in real time.
7 case studies
Real-time fraud and identity verification that combines scoring models with AI reasoning over transaction context, customer history, and unstructured signals.
104 case studies
Natural-language analytics — query data in plain English and have LLMs surface insights across market research, competitive intelligence, and business dashboards.
Context Windows brings together case studies on what companies are doing with AI, from across the web. So you can prioritise what's already working.
Context Windows Pro
AI use case
Forecasting demand, credit risk, churn, and sales pipelines — foundation models extending traditional forecasting with reasoning over unstructured signals like emails, calls, and reports.
55 case studies (+62% last year)
See where predictive analytics ranks for your industry and your role
Get a free personalized overview of what's working with AI in your industry and your role.
Forecasts that took 10+ hrs on shared CPU clusters now run in 150 sec—giving grid planners time to act, not just react.
Finance, supply chain, and field data scattered across cloud and on-prem systems—no unified view of profitability. One lakehouse, real-time.
Creditworthy but credit-invisible: millions of Colombians locked out. Graph ML mapped their behavior instead, making them legible to lending.
Across 120 markets, fixed dispatch couldn't track pricing shifts or personal goals. AI now adapts to each grid, each user, each goal.
Rent, phone bills, utilities paid on time—proof scattered across silos. Consolidated into AI profiles, the invisible became creditworthy.
Manually pulling flight risk data took half a day — so it never got done. Three words later, Rippling built a scoring rubric from scratch.
Context Windows Pro
Research and prioritise AI use cases with data that shows you what’s working. Upgrade now to unlock the full database.
71 case studies
Personalized experiences, recommendations, and outreach — AI that picks the offer, generates the message, and adapts in real time.
7 case studies
Real-time fraud and identity verification that combines scoring models with AI reasoning over transaction context, customer history, and unstructured signals.
104 case studies
Natural-language analytics — query data in plain English and have LLMs surface insights across market research, competitive intelligence, and business dashboards.
Context Windows brings together case studies on what companies are doing with AI, from across the web. So you can prioritise what's already working.
Context Windows Pro