Artificial intelligence was employed by a technology corporation to give detailed statistics, allowing its finance department to correctly compute pay and HR experts in an effort to predict employee burnout based on reported overtime. They wanted an automated system that could collect user data correctly and produce accurate financial figures, so they used an event sourcing methodology to record and store user events in a cloud in a unique way. Then, as a microservice in the ecosystem, a Command and Query Responsibility Segregation (CQRS) mechanism was included. With this, they were able to accurately compute salaries for people working on several projects with diverse budgets.

A retailer needed to recognize the faces of the people entering their stores to add information about them into the database for further analysis. They implemented artificial intelligence solutions through the use of a programming functions library that enabled face image capturing in real-time, then combined algorithms were used to implement the customer's requirements to build a system that works with a high percentage of correct results. The retailer was able to recognize store visitors and personalize their in-store experiences accordingly.

A language learning provider licensed an artificial intelligence language learning module and was able to implement free-form language conversation practices in an effort to supplement their internally developed content and lesson plans. This improved language comprehension, leading to support and expansion.

With AI technology, a retail store was abl eto boost sales and improve customer relationship management. By integrating security cameras into YOLO models to effectively identify customers, distinguish them based on distinct similarities and grouping that information with a network flow graph, the system was able to receive a 2D coordinate of customers. This allowed the store to gather information about a customer's preferences, predict demand and determine promotional offers and price strategies.

A tire manufacturer used artificial inteligence to improve design, save time, ascertain the condition of products and increase capacity. Starting with a digital rendering, the manufacturer was able to collect real-time data using IoT sensors and transmit the data to its server.