With numbers to prove it.
Explore all use casesLiDAR missed 30% of the canopy. Researchers now use computer vision to map individual trees at 1-meter resolution.
Vague feedback on unrecorded streams slowed fixes. AI now diagnoses live issues instantly, lifting user satisfaction 30%.
Teams took thousands of manual photos. Now, AI maps a 360° video walk to plans in minutes, cutting documentation time by 90%.
Reporters lost hours scrubbing tape. AI now tags visual details—like a cricketer with zinc—surfacing clips from 90 years of history.
Processing test batches dragged for 30 hours. Vertex AI now runs the pipeline 23x faster, querying billions of nature images in seconds.
Manual processes held back insights. Automated vision models now analyze trap images to predict infestations for growers instantly.
Barcodes capped the app at 5 markets. Visual AI now identifies waste from photos, unlocking expansion to 170+ countries.
Models missed plot twists hidden in dialogue. Fusing text and video data now automates narrative summaries in four languages.
Manual mapping took a year and cost millions. One scientist now completes the work in three days using local AI, saving €1.2M.
Understand what's working with 2,874 recent AI case studies with quantified results. We break down every case study the same way, so you can find and prioritize high-impact strategies for your exact context.