Unilever's AI Hiring: 90% Faster, 16% More Diverse
Unilever processed 1.8M apps/year manually, facing delays and bias. AI video analysis & psychometric games cut time-to-hire by 90%, saved £1M, boosted diversity 16%. Scalable HR transformation via ML.
Read case study →Surtrac: AI Slashes Pittsburgh Traffic 25% with Smart Signals
Rapid Flow's Surtrac AI revolutionized Pittsburgh traffic, cutting travel times 25%, waits 40%, and emissions 21% via real-time adaptive signals. From CMU pilot to Miovision acquisition, it proves decentralized ML scales urban mobility.
Read case study →John Deere See & Spray: AI Slashes Herbicide Use by 50%
John Deere's See & Spray leverages computer vision to detect weeds in real-time, reducing herbicide use by nearly 50% and saving 31M gallons across 5M acres in 2025, boosting farm sustainability and profits.
Read case study →AT&T: AI Saves Billions in Network Optimization
AT&T harnesses machine learning and predictive analytics to revolutionize network planning, anomaly detection, and self-healing, saving billions in costs while boosting reliability and efficiency across its vast telecom infrastructure.
Read case study →Tesla Autopilot: AI Vision 9x Safer Than Humans
Tesla's Autopilot and Full Self-Driving use end-to-end deep learning and computer vision to slash crash rates to 1 per 6.36M miles—9x safer than US average—transforming road safety amid human error epidemic.
Read case study →Cruise (GM): AI Self-Driving Taxis' Rise & Pivot
Cruise harnessed computer vision and reinforcement learning for urban robotaxis, achieving 1M+ autonomous miles amid safety challenges. GM invested billions before shutting robotaxis in 2024 to focus on personal AVs, integrating Cruise's AI stack.
Read case study →Waymo: Deep Learning Powers Safe Robotaxis
Waymo harnesses deep learning for perception, planning, and control to deliver ultra-safe autonomous ride-hailing. Achieving 450K+ weekly paid rides, 96M autonomous miles, and 3.5x safer crash avoidance than humans by late 2025.
Read case study →Netflix's ML Recs: 80% Views Personalized, $1B Saved
Netflix leverages collaborative filtering and deep learning to personalize recommendations, driving 80% of views and saving $1B yearly in retention amid vast content libraries.
Read case study →Three UK Transforms Network with Azure AI Analytics
Three UK deploys Microsoft Azure Operator Insights to tackle mobile data congestion, boosting speeds and slashing latency for millions of streaming and gaming users via cloud-based ML.
Read case study →Duolingo Max: GPT-4 Transforms Language Tutoring
Duolingo integrated GPT-4 into Duolingo Max for AI-powered roleplay and explanations, addressing conversational gaps. This drove 59% YoY DAU growth to 34.1M, boosted engagement, and accelerated content creation, revolutionizing EdTech.
Read case study →Shell's C3 AI Predictive Maintenance: 20% Downtime Cut
Shell deployed C3 AI's ML platform across 10,000+ global assets, slashing unplanned refinery and rig downtime by 20%, cutting costs 15%, and saving £1M+ yearly while boosting safety.
Read case study →Ooredoo Qatar: AI Digital Twin Transforms 5G RAN Optimization
Ooredoo Qatar partners with Ericsson on Microsoft Azure to deploy a digital twin-powered AI solution for RAN optimization. Leveraging deep reinforcement learning, it delivers proactive tuning, 15% power savings, and superior 5G user experiences while slashing OpEx.
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