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20 BRINGING INTELLIGENCE TO THE EDGE endpoint can even be used to make automatic adjustments to a device's plan of action. An autonomous vehicle, for example, may change routes depending on traffic data collected from other vehicles in the same area or on weather and/or road conditions being monitored by onboard sensors. Data analytics can help categorize potential actions and adjustments into classes to improve the overall decision-making process; for example, the autonomous vehicle can classify potential actions as operational (e.g., optimizing the route for better road and weather conditions) or tactical (e.g., optimizing the route to reduce travel time). Leveraging the power of predictive maintenance, intelligent sensors embedded in factory equipment can collect data on optimal operations to help manufacturers reduce downtime and avoid potential revenue loss. Anticipating and acting on potential out-of-service issues means that plants can run at peak efficiency. Where AI and Data Science Go from Here Traditional business intelligence tools are not structured to process vast amounts of unstructured data. Data science utilizes more advanced tools to assist in sifting, grouping, and analyzing large volumes of data from different sources across multiple interconnected fields. Take marketing, for example: Exploring essential demographic factors like a customer's age, orientation, location, and behavioral patterns can assist in creating highly targeted advertising campaigns. These ads provide more precise recommendations by relying on browsing and purchase history to evaluate the customer's inclination toward buying a specific product. In banking, monitoring unusual customer behavior can aid in detecting and exposing fraud. By scrutinizing and assessing a patient's medical records, data science may help predict and prevent potential medical problems. Developments in data analytics and AI have transformed the consumer support experience. Real-time analytics respond to the data collected immediately (when its value is at its peak), and data analytics unlock the almost unlimited potential of that data, increasing overall business value and potentially enabling enterprises to secure a high position in the marketplace. Businesses in all sectors rely on machine learning models to make more accurate predictions and effective decisions, thereby improving production efficiency and assisting in overcoming potential security issues in communications between devices and the cloud. Endpoint AI has enhanced the entire process by speeding up the work, providing better results, and improving business decision-making. ■ Learn More RA4M3 32-Bit Microcontroller Group