Data Streaming and AI in the Automotive Industry at OEMs like Porsche Tesla BMW
Read More

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.
Read More
Agentic AI with AWS Amazon Bedrock AgentCore and Data Streaming using Apache Kafka Flink and Confluent Cloud
Read More

Building Agentic AI with Amazon Bedrock AgentCore and Data Streaming Using Apache Kafka and Flink

Agentic AI goes beyond chatbots. These are autonomous systems that observe, reason, and act—continuously and in real time. At AWS Summit New York 2025, Amazon launched Bedrock AgentCore to build and operate secure, scalable AI agents. But to run in production, agents also need real-time data, continuous context, and flexible integration. That’s where data streaming with Apache Kafka and Apache Flink comes in. Combined with open standards like MCP and A2A, they provide the event-driven foundation for always-on, enterprise-grade AI agents.
Read More
Data Sharing for MVNO Growth and Beyond with Data Streaming in the Telco Industry
Read More

Real-Time Data Sharing in the Telco Industry for MVNO Growth and Beyond with Data Streaming

The telecommunications industry is transforming rapidly as Telcos expand partnerships with MVNOs, IoT platforms, and enterprise customers. Traditional batch-driven architectures can no longer meet the demands for real-time, secure, and flexible data access. This blog explores how real-time data streaming technologies like Apache Kafka and Flink, combined with hybrid cloud architectures, enable Telcos to build trusted, scalable data ecosystems. It covers the key components of a modern data sharing platform, critical use cases across the Telco value chain, and how policy-driven governance and tailored data products drive new business opportunities, operational excellence, and regulatory compliance. Mastering real-time data sharing positions Telcos to turn raw events into strategic advantage faster and more securely than ever before.
Read More
Learnings from the CIO Summit: AI + Data Streaming = Key for Success
Read More

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.
Read More
The State of Data Streaming for Digital Natives in 2023
Read More

The State of Data Streaming for Digital Natives in 2023

This blog post explores the state of data streaming in 2023 for digital natives born in the cloud. Data streaming allows integrating and correlating data in real-time at any scale to improve the most innovative applications leveraging Apache Kafka. I explore how data streaming helps as a business enabler, including customer stories from New Relic, Wix, Expedia, Apna, Grab, and more. A complete slide deck and on-demand video recording are included.
Read More