Browsing Tag

Agentic AI

3 posts
Global Payment Processor Built with Data Streaming using Apache Kafka at Stripe Paypal Payoneer Worldline
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  • 332 views
  • 10 minute read

How Global Payment Processors like Stripe and PayPal Use Data Streaming to Scale

This blog post explores how leading payment processors like Stripe, PayPal, Payoneer, and Worldline are leveraging data streaming with Apache Kafka to power real-time, scalable, and secure financial systems. As the industry shifts from batch processing to event-driven architecture, data streaming has become essential for handling transactions, fraud detection, compliance, and embedded services. The post highlights why Kafka is at the core of modern payment infrastructure – and how it enables innovation, resilience, and operational agility in the evolving fintech landscape.
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Data Streaming and AI in the Automotive Industry at OEMs like Porsche Tesla BMW
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  • 1.4K views
  • 13 minute read

Driving the Future: How Real-Time Data Streaming Is Powering Automotive Innovation

The automotive industry is rapidly shifting toward a software-defined, data-driven future. Real-time technologies like Apache Kafka and Apache Flink are now critical to powering connected vehicles, smart factories, autonomous platforms, and personalized mobility services. This blog explores how leading OEMs and suppliers use data streaming to drive digital transformation – from edge processing and AI to predictive maintenance and customer experience. As the industry moves toward intelligent, adaptive systems, event-driven architecture becomes a strategic foundation.
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Learnings from the CIO Summit: AI + Data Streaming = Key for Success
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  • 5 minute read

CIO Summit: The State of AI and Why Data Streaming is Key for Success

The CIO Summit in Amsterdam provided a valuable perspective on the state of AI adoption across industries. While enthusiasm for AI remains high, organizations are grappling with the challenge of turning potential into tangible business outcomes. Key discussions centered on distinguishing hype from real value, the importance of high-quality and real-time data, and the role of automation in preparing businesses for AI integration. A recurring theme was that AI is not a standalone solution—it must be supported by a strong data foundation, clear ROI objectives, and a strategic approach. As AI continues to evolve toward more autonomous, agentic systems, data streaming will play a critical role in ensuring AI models remain relevant, context-aware, and actionable in real time.
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