Engineers lost 30% of their day hunting in isolated data vaults. A unified AI assistant now surfaces technical answers in minutes.
A global professional services company for energy and resources with 50,000 employees and 50 years of engineering expertise stored in over 100,000 documents.
Engineers struggled to access technical expertise trapped in siloed repositories, often spending over 15 minutes just to locate and analyze specific...
“Our mission is to empower our workforce with cutting-edge AI tools to drive the productivity of approximately 50,000 individuals. By integrating AI into our processes, we are not only enhancing efficiency but also providing our employees with the resources they need to excel in their roles.”
Engineering, procurement, and construction for energy and resource industries.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
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Standard AI misinterpreted technical queries. A custom model trained on 154k vetted docs now delivers precise chemical insights.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Strict compliance held back AI for 12,000 staff. A secure internal platform now safely queries docs, cutting media response time by 50%.
Manual call notes burdened agents, while managers struggled to track promises. Now, AI copilots automate summaries and verify commitments.
Safety data only surfaced after police-involved incidents. Now, AI dashcams alert drivers to correct risky behaviors in real time.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Engineers lost 30% of their day hunting in isolated data vaults. A unified AI assistant now surfaces technical answers in minutes.
A global professional services company for energy and resources with 50,000 employees and 50 years of engineering expertise stored in over 100,000 documents.
Engineers struggled to access technical expertise trapped in siloed repositories, often spending over 15 minutes just to locate and analyze specific...
“Our mission is to empower our workforce with cutting-edge AI tools to drive the productivity of approximately 50,000 individuals. By integrating AI into our processes, we are not only enhancing efficiency but also providing our employees with the resources they need to excel in their roles.”
Engineering, procurement, and construction for energy and resource industries.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Related implementations across industries and use cases
Standard AI misinterpreted technical queries. A custom model trained on 154k vetted docs now delivers precise chemical insights.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Consultants manually sifted through code. GenAI now scans 280 million lines to generate tailored implementation instructions.
Engineers waited hours for answers on technical standards. Now, a GenAI assistant scans thousands of docs to respond instantly.
Strict compliance held back AI for 12,000 staff. A secure internal platform now safely queries docs, cutting media response time by 50%.
Manual call notes burdened agents, while managers struggled to track promises. Now, AI copilots automate summaries and verify commitments.
Safety data only surfaced after police-involved incidents. Now, AI dashcams alert drivers to correct risky behaviors in real time.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.