IDC analyst and associate vice president Sharath Srinivasamurthy said that event-driven automation and analyzing data in motion is a critical enabler for enterprises desiring to scale their agentic systems. “When contextual, event-driven customer data and external signals are captured and analyzed in real time, the efficacy and responsiveness of AI agents significantly improves,” Srinivasamurthy said. Since event-driven agentic automation enables instantaneous decision-making based on the most current information, it not only improves responsiveness for time-sensitive workloads but also reduces compute waste, bringing down cost, he said.
“Agents can proactively respond to events such as errors, updates, or user requests, fostering real-time problem-solving and adaptive behavior. Examples where this is getting traction includes fraud detection, risk management, emergency response, predictive maintenance, dynamic pricing, traffic management, IT operations, and customer experience,” Srinivasamurthy added.
Tecton is Databricks’s fourth acquisition this year, and its second in the machine learning space following its April acquisition of feature engnineering specialist Fennel.
