
Mobility services like Uber, Grab, and FREE NOW (Lyft) rely on real-time data to power seamless trips, deliveries, and payments. But this real-time nature also

Mobility services like Uber, Grab, and FREE NOW (Lyft) rely on real-time data to power seamless trips, deliveries, and payments. But this real-time nature also

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

In today’s digital landscape, cybersecurity faces mounting challenges from sophisticated threats like ransomware, phishing, and supply chain attacks. Traditional defenses like antivirus software are no

In the age of digitization, the concept of pricing is no longer fixed or manual. Instead, companies increasingly use dynamic pricing — a flexible model

The vision for a digitalized airport includes seamless passenger experiences, optimized operations, consistent integration with airlines and retail stores, and enhanced security through the use

Generative AI (GenAI) enables many new use cases for enterprises and private citizens. While I work on real-time enterprise scale AI/ML deployments with data streaming,

How do you prevent hallucinations from large language models (LLMs) in GenAI applications? LLMs need real-time, contextualized, and trustworthy data to generate the most reliable

Stream processing has existed for decades. The adoption grows with open source frameworks like Apache Kafka and Flink in combination with fully managed cloud services.

Apache Kafka serves thousands of enterprises as the mission-critical and scalable real-time data fabric for machine learning infrastructures. The evolution of Generative AI (GenAI) with

Fraud detection becomes increasingly challenging in a digital world across all industries. Real-time data processing with Apache Kafka became the de facto standard to correlate