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Maximizing your event-driven architecture investments: Unleashing the power of Apache Kafka with IBM Event Automation

IBM Journey to AI blog

Recognizing the need to harness real-time data, businesses are increasingly turning to event-driven architecture (EDA) as a strategic approach to stay ahead of the curve. At the forefront of this event-driven revolution is Apache Kafka, the widely recognized and dominant open-source technology for event streaming.

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Event-driven architecture (EDA) enables a business to become more aware of everything that’s happening, as it’s happening 

IBM Journey to AI blog

In modern enterprises, where operations leave a massive digital footprint, business events allow companies to become more adaptable and able to recognize and respond to opportunities or threats as they occur. Becoming a real-time enterprise Businesses often go on a journey that traverses several stages of maturity when they establish an EDA.

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Why your event-driven architecture needs advanced event governance

IBM Journey to AI blog

Event-driven architecture (EDA) has become more crucial for organizations that want to strengthen their competitive advantage through real-time data processing and responsiveness. In recognizing the benefits of event-driven architectures, many companies have turned to Apache Kafka for their event streaming needs.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Diagnostic Analytics Projects: Diagnostic analytics seeks to determine the reasons behind specific events or patterns observed in the data. 3. Predictive Analytics Projects: Predictive analytics involves using historical data to predict future events or outcomes. Root cause analysis is a typical diagnostic analytics task.