**Real-time Artificial Intelligence and Event Processing: Driving Better Business Outcomes**

Real-time artificial intelligence (AI) and event processing have become crucial for businesses looking to stay ahead in a rapidly evolving landscape. According to a 2023 survey by the IBM Institute for Business Value (IBV), companies at the forefront of AI adoption are experiencing a remarkable 13% return on investment, surpassing the average ROI of 5.9%.

By integrating AI into real-time event processing, businesses can effectively identify and respond to emerging trends, threats, and opportunities. Stephane Mery, IBM Distinguished Engineer and CTO of Event Integration, sheds light on leveraging AI for real-time event processing in the webcast, “Leveraging AI for Real-Time Event Processing.”

### Benefits of AI and Event Processing

Artificial intelligence and event processing work in tandem to accelerate business operations and decision-making. Event-driven architecture empowers organizations to access, interpret, and act on real-time information, enabling them to gain valuable insights and move data where it’s needed. Conversely, AI assists in streamlining business processes, reducing operating costs, and transforming unstructured data into actionable information.

### How Event Processing Drives AI Capabilities

Event processing plays a critical role in enhancing AI models by providing a continuous flow of real-time data for training. It also computes live aggregates, improving the speed and accuracy of predictive models. Moreover, event processing assists in creating an up-to-date business context, ensuring that AI-generated insights are practical and applicable.

### How AI Enhances Event Processing

AI’s anomaly detection, pattern recognition, reasoning for correlation and causation, and interpretation of unstructured data significantly elevate event processing. By identifying irregularities and meaningful trends, AI helps organizations proactively respond to potential threats and exploit new opportunities, making event processing more intelligent and responsive.

**Learn more and get started with IBM Event Automation**

If your organization is considering embracing real-time event processing and AI, consider exploring the IBM Event Automation solution, which offers capabilities for event streaming, event endpoint management, and event processing. Furthermore, by leveraging open technologies, IBM Event Automation can help your team harness real-time data analytics and intelligent automation effectively.

To learn more about how IBM Event Automation can benefit your business, request a custom demo and explore the complete, composable enterprise-wide event-driven architecture.

**FAQ**

1. **How does real-time event processing benefit businesses?**
Real-time event processing enables organizations to access, interpret, and act on real-time information, allowing them to gain valuable insights and respond promptly to emerging trends, threats, and opportunities.

2. **What role does AI play in event processing?**
AI enhances event processing by detecting anomalies, recognizing patterns, and interpreting unstructured data, making event processing more intelligent and responsive.

3. **How can businesses get started with IBM Event Automation?**
To explore IBM Event Automation and understand how it can benefit your organization, consider requesting a custom demo and learning more about its event streaming, event endpoint management, and event processing capabilities.