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3 reasons why business and data analysts need to work with real-time events

IBM Journey to AI blog

Advantages of event-driven solutions This is where event-driven solutions excel. Working with “business events” is essential for unlocking real-time insights that enable intelligent decision making and automated responses. 3 reasons to take advantage of event-driven solutions 1.

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Ben Ball, IBM: Revolutionising technology operations with IBM Concert

AI News

“It’s using AI to figure out actually how your application works, and then provides recommendations about how to make it better,” Ball said. However, IBM is actively working to bridge this gap, with IBM Concert set to evolve and incorporate tools to organise data into a format more digestible for AI engines.

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Nicholas Brackney, Dell: How we leverage a four-pillar AI strategy

AI News

By getting the foundations right at their core, we can eliminate some of the greatest risks associated with AI and work to ensure it acts as a force for good,” explains Brackney. Explore other upcoming enterprise technology events and webinars powered by TechForge here. “We believe in a shared, secure, and sustainable approach.

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Real-time transaction data analysis with IBM Event Automation

IBM Journey to AI blog

1] The need to improve real-time decision-making is contributing to a growing demand for event-driven solutions and their ability to help businesses achieve continuous intelligence and situation awareness. An event-driven architecture focuses on the publication, capture, processing and storage of events.

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IBM Mainframe Skills Council brings the global community together to grow mainframe talent

IBM Journey to AI blog

The Futurum Group found that 60% of organizations surveyed indicated they work closely with industry vendors that offer bootcamps, trainings or apprenticeship programs to connect with skilled applicants. IBM Z Career Connection Events: These events bring employers and students together. Standardization. AI and automation.

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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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Apache Kafka and Apache Flink: An open-source match made in heaven

IBM Journey to AI blog

Apache Kafka and Apache Flink working together Anyone who is familiar with the stream processing ecosystem is familiar with Apache Kafka: the de-facto enterprise standard for open-source event streaming. With the combination of Apache Flink and Apache Kafka, the open-source event streaming possibilities become exponential.