Real-world examples of agentic AI include:

• Autonomous vehicles: Collecting and processing real-time data from sensors to make driving decisions without human intervention
• Smart assistants (e.g., Alexa, Siri): Using data to perform tasks like controlling smart home devices, setting reminders, or making purchases
• Fraud detection systems: Continuously analyzing transaction data in real-time to detect and act on suspicious activities autonomously

These systems rely on real-time and historical data, which Snowplow can provide to train models and automate decision-making. Snowplow Signals extends this capability by providing contextualized customer intelligence that enables more sophisticated agentic applications like AI copilots and personalized chatbots.