Complimentary Research Report
Modern Data Streaming for Real-Time Artificial Intelligence
This report helps data leaders guide their teams to architect such pipelines. We define must-have characteristics, explore compelling use cases and provide guiding principles for success.
In this complimentary copy of Modern Data Streaming for Real-Time Artificial Intelligence, you'll discover:
- How streaming data pipelines deliver real-time insights for AI models, driving faster decisions and better outcomes.
- Get the 8 must-have traits of modern pipelines that support scalable, secure, and AI-ready infrastructure.
- How real-time streaming powers fraud detection, customer chatbots, supply chain optimization, and more.
Data teams must integrate live data, enforce governance controls and orchestrate myriad architectural components to support real-time AI.
Most mainstream use cases for artificial intelligence operate in real time. Organizations use AI to converse with users, predict outcomes, and make recommendations. Many of them now implement agents that respond autonomously to live events in customer service, e-commerce, factory operations, and so on.
But real-time AI pushes data teams to address three big requirements at a higher scale than ever before. They must continuously integrate diverse inputs to provide timely insights to AI models.