The Convergence of AI and Real-Time: IBM Acquires Confluent
The deal signals a broader industry trend in which AI and real-time systems must converge to deliver on AI's true potential.
The deal signals a broader industry trend in which AI and real-time systems must converge to deliver on AI's true potential.
The top five RTInsights articles of 2025 collectively highlight a major shift. Organizations are moving away from monolithic architectures and experimental …
Doing nothing about data doesn’t keep you safe; it keeps you stuck and quietly burns cash. Keep in mind, there’s no AI without IA (information …
Ready to move forward? Start by auditing your data workloads and prioritizing those that drive business value.
The cloud database market transitioned in 2025. It is no longer just “databases in the cloud.” It has become the data and AI control plane for the …
This year’s Current conference highlighted the need to bring real-time data and AI together. The keynote and many sessions dug into this topic for the …
For innovation to take place, organizations need a storage infrastructure that can adapt to new technologies such as higher-density storage media or more …
Organizations that focus only on model development without considering their data’s AI readiness will continue to struggle.
The enterprise data stack is at an inflection point. Storing and streaming data is no longer enough. Businesses need a combination of streaming technologies, …
Data gravity is inevitable. Decentralized storage, AI-driven orchestration, and provider-agnostic data fabrics can help make mobility a real option