EY (Ernst & Young Global Limited) is one of the world’s largest professional services organizations, providing assurance, tax, consulting, and strategy and transactions services. Operating as a global network of member firms in over 150 countries, EY serves corporations, governments, and startups across most major industries. The firm is increasingly focused on technology-enabled transformation, including data, analytics, and AI-driven solutions.
AI watches heat and power-use data from electrical systems to catch dangerous overloads before they cause outages or fires.
Investors can estimate how much more money a building could make if AI helps more renters renew, then use that estimate when deciding what to pay for the property.
AI learns how plant settings affect output so operators can run crushers, mills, and flotation circuits more efficiently.
A digital copy of the aircraft’s battery and power system uses physics plus AI to track wear and predict what will happen next.
Once the AI knows exactly where fields are, officials can combine that map with crop-yield models to better estimate harvests and guide where survey teams should focus.
Once the utility network is built correctly, teams can ask the system to follow connections and show what equipment belongs to which part of the grid.
A chat-based AI helps field and maintenance teams ask plain-language questions about equipment, maintenance, and reliability data, then returns answers through a dynamic dashboard.
A camera-and-AI machine watches tomatoes on a conveyor, spots bad ones, and kicks only those out so more good tomatoes are kept.
Autodesk provides a central page that helps government and accessibility-focused users find product accessibility and compliance information for tools like Revit and AutoCAD.
Albemarle created many reusable equipment templates and dashboards so engineers spend less time digging through data and more time improving the plant.
After people moved in, the team watched how the building behaved, listened to complaints, found a hidden heating problem, and adjusted controls to fix it.
Use one network model to turn utility asset data into engineering designs, schematics, maps, and views that different teams can use without rebuilding the data each time.
AI can help make newer clean-energy technologies cheaper by improving design, planning and operations.
Instead of switching pumps instantly to full power or zero, the model can ramp them up or down over minutes to avoid unstable simulation jumps.
A hospital system used software that helps doctors choose the right tests, treatments and care setting so patients get appropriate care without extra hospital days or avoidable services.
A utility takes its old network data, matches each asset to the right standard bucket in Esri’s Utility Network Foundation, and loads it into ArcGIS in several passes so the new system works correctly.
Instead of relying on one AI app, Linklaters is combining several AI tools so lawyers can chat, review deals, manage contracts, and use Legora together on client matters.
A central platform collects data from pumps, motors, drives, and sensors, then turns it into recommendations and automation that help the whole station run better.
Aegon uses software that automatically checks whether its business systems and screens still work correctly after changes, instead of relying heavily on people to test everything by hand.
Use software to decide when pumps, storage tanks, and treatment assets should run so a city still gets water but uses less energy.
This workflow connects AI tools with building information and live environmental data so designs can be tested and updated using more realistic climate inputs.
AI helps designers compare materials and design choices to pick options that are greener and better suited for future climate conditions.
AI arranges the order cars should be built so the factory avoids bad mixes, long feature runs, and paint/color disruptions.
The system keeps checking oven temperatures all the time, so small drifts that humans miss do not ruin parts.
AI watches mine cameras and changes digital no-go zones in real time so workers and vehicles are warned before entering dangerous areas.
Sensors listened to a critical air-handling machine, AI noticed unusual vibration, and experts helped the plant fix the exact problem before the machine failed and triggered a very expensive shutdown.
Software watches how a waste-to-energy furnace is burning and continuously adjusts controls so trash burns more efficiently and cleanly.
Project teams can pull room or area locations from Revit into Procore and send grids over too, so everyone uses the same project map.
A camera and AI watch every pipe on the line, spot bad wrapping instantly, and tell the factory to reject or rework it before scrap piles up.
Equipment in a data center can tell operators when it is unhealthy before it fails, so teams can fix problems early instead of waiting for outages.
Cameras and code readers automatically check tiny markings and defects on pump parts so bad parts are caught almost every time, while each part gets a digital history.
AI could watch emissions data like a digital environmental inspector, spotting unusual pollution patterns early and helping the factory stay within rules during commissioning and normal production.
AI helps the mills react better to changing material properties so they grind cement more efficiently and waste less energy.
AI acts like a fast training simulator for a nuclear plant, trying thousands of emergency situations and recommending the safest response plan for each one.
Cameras watch ceramic pieces on the grinding line and automatically decide whether each piece is aligned correctly and good enough to pack, or defective and should be flagged.
AI watches how materials and production streams move through a plant and suggests better settings so the factory wastes less and runs more smoothly.
An AI controller learns how to adjust heating and cooling settings in a building so it uses less energy while still keeping occupants comfortable.
An AI system watches how a factory or commercial building uses electricity, predicts what energy it will need next, spots waste, and suggests or makes adjustments so the site uses less energy without hurting operations.
Software watches thousands of heating-network valves, spots when one is behaving strangely or wearing out, and tells engineers which ones to fix first.
Read lots of tenant comments to find repeated building problems, safety concerns, and upgrade ideas that numbers alone miss.
A camera system watches adhesive material as it is made, spots wrinkles right away, tells operators, and marks the bad sections so they can be removed later.
A designer can tell Revit in plain English to make drawing views, tag rooms, create sheets, and export PDFs, instead of clicking through many manual steps.
Instead of a person guessing how good a pass was, AI measures it the same way every time using video details like where the ball went and how long it stayed in the air.
An intelligent monitoring setup watches all major reservoirs together every day and helps operators decide when to tighten water-saving actions, like reducing nighttime network pressure, before shortages get worse.
The mine added sensors and backup power so refuge chambers can keep working longer and teams can see dangerous gas and temperature conditions outside before sending people out or in.
Amazon uses AI to watch machine behavior, spot signs of trouble early, and help teams fix equipment before it breaks.
A legal team can upload its old contract playbook, and GC AI turns it into a structured format the AI can reuse on future contracts.
The system helps the grinding line run at better settings so mills produce more cement, use less power, and avoid stoppages caused by unstable operation.
The system acts like a smart traffic-aware planner that keeps reordering deliveries and assigning vehicles so drivers take better routes and customers get more accurate arrival times.
SAS works with engine and equipment makers to watch specific aircraft systems and catch recurring problems before they become operational disruptions.
AI can study failure codes and past repairs tied to each asset to find patterns, helping teams adjust maintenance tasks and frequencies before repeat failures happen.
The plant uses sensors to keep track of water levels and quality in loops that feed hydrogen production. AI looks for warning signs that equipment or water treatment performance is drifting, so maintenance can happen before something breaks or production suffers.
The project uses AI to organize and analyze community data so the state can see which places have internet, electricity, both, or neither.
A digital twin brings together data from renewables, electrolyzers, and storage so operators can continuously tune the whole hydrogen system to cut waste and cost.
When people request electricity through the app, their location is captured so the government can see where communities are and plan power projects better.
An AI system watches how a cement mill is running and continuously adjusts controls so the mill makes more cement with more consistent quality than a human operator alone.
It uses repeated radar satellite images to spot tiny movements in a tailings dam over time, helping operators see if the dam is shifting before it becomes dangerous.
Using smart computer programs to watch and check airplane parts for damage or wear so they can be fixed before problems happen.
Using AI to predict when an airplane needs maintenance so it can be fixed just in time, saving money and keeping planes flying longer.
AI systems predict when airplane parts might fail so they can be fixed before breaking.
AI systems watch over airplane parts to spot damage early, keeping flights safe and saving money on repairs.
An AI system helps aircraft designers quickly find the right information and past examples to design tools for assembling airplane wings, making their work faster and more accurate.
This AI system uses data from airplane flights to create a digital copy (digital twin) of key airplane parts, predicting how much life those parts have left and helping plan maintenance and flight schedules smarter.