AI can make the smart grid smarter and reduce the need for utilities to add power plants
Sensors and machine learning allow for by-the-minute adjustments to maximize generation efficiency—by adjusting to changes in wind conditions, for example
Machine learning–enabled forecasting anticipates supply and demand peaks and maximizes the use of intermittent renewable power
Smart wires combine with machine learning to enable real-time power dispatching and optimize it to current grid load and to buildings’ asset portfolios
Drones and insect- size robots identify defects, predict failures, and inspect assets without interrupting production
Few technicians remain, but they spend more time on problem solving; in place of logging inspection status by hand, documents are logged and routed automatically
Field workforce receives real-time updates to decrease response times and reduce the impact of outages
Virtual agents automate call centers and automatically segment consumers based on service history; machine learning offers early warning of bad debts
Smart-meter data and machine learning enable utilities to offer services based on usage, weather, and other factors
AI in healthcare: quicker diagnoses, better treatment plans, and improved health insurance
Machine-learning program analyzes patients’ health via mobile device, compares with medical records, and recommends a fitness routine or warns of possible disease
Autonomous diagnostic devices using machine learning and other AI technologies conduct simple medical tests without assistance, relieving doctors and nurses of routine activities
AI-powered diagnostic tools identify diseases faster and with greater accuracy, using historical medical data and patient records
AI algorithms optimize hospital operations, staffing schedules, and inventory by using medical and environmental factors to forecast patient behavior and disease probabilities
AI tools analyze patients’ medical histories and environmental factors to identify people at risk of an illness and steer them to preventive-care programs
Virtual agents in the form of interactive kiosks register patients and refer them to appropriate doctors, improving their experience and reducing waiting time
Personalized treatment plans designed by machine-learning tools improve therapy efficiency by tailoring treatment to specific patients’ needs and medical history
AI insights from population-health analyses give payers an opportunity to reduce costs by encouraging care providers to manage patients’ wellness
Retailers can know what shoppers want— before the shoppers themselves, thanks to AI
Facial recognition software, machine learning, and natural language enable virtual agents to greet you personally, anticipate orders, and provide directions
Retailers can know what shoppers want— before shoppers themselves, thanks to AI
Machine learning personalizes promotions to match shoppers' profiles; in-store beacons send offers to their smartphones as they browse through the store
Computer vision with deep learning identifies articles bagged by shoppers; adding data from sensors, AI allows nonstop checkout and automatic payment
Autonomous drones using deep-learning technology complete last-mile delivery and are able to handle obstacles or absent recipients
Interactive tabletops enabled with computer vision and deep learning can identify articles and recommend complementary products and uses that fit shoppers' lifestyle profile
An autonomous shopping cart follows you in the store, and it can find its way to your vehicle or to a robot or drone for home delivery
Stores update and optimize prices in real time, with machine learning leveraging data on competitors’ prices, weather, and inventory levels to maximize revenues
AI-enhanced robots continuously track inventory, recognize empty shelves, and replenish them; other robots fill bags in the warehouse
