Real-time visibility has become essential in logistics. As supply chains grow more complex, providers must shift from delayed, batch-based systems…
Agentic AI is emerging as a powerful pattern for building autonomous, intelligent, and collaborative systems. To move beyond isolated models…
Enterprise data lives in complex ecosystems—SAP, Oracle, Salesforce, ServiceNow, IBM Mainframes, and more. This article explores how Confluent and Databricks…
Confluent and Databricks enable a modern data architecture that unifies real-time streaming and lakehouse analytics. By combining shift-left principles with…
Confluent and Databricks have redefined modern data architectures, growing beyond their Kafka and Spark roots. Confluent drives real-time operational workloads;…
Mobility services like Uber, Grab, and FREE NOW (Lyft) rely on real-time data to power seamless trips, deliveries, and payments.…
Agentic AI marks a major evolution in artificial intelligence—shifting from passive analytics to autonomous, goal-driven systems capable of planning and…
The CIO Summit in Amsterdam provided a valuable perspective on the state of AI adoption across industries. While enthusiasm for…
As the telecom and tech industries rapidly evolve, real-time data streaming is emerging as the backbone of digital transformation. For…
The rise of real-time AI and machine learning is reshaping the competitive landscape. Traditional batch-trained models struggle with model drift,…