STAMFORD, Conn.--(BUSINESS WIRE)--By 2027, more than three-quarters of enterprises will be able to process events and streaming data in real time, making them more responsive to customer needs and ...
Akamai Cloud offers Redpanda for high performance edge data streaming and agentic applications with added simplicity and efficiency ...
New features include a Real-time Context Engine for GenAI Agents and MCP Server—uniting AI-assisted pipelines, unified orchestration, cost optimization, and observability in a single serverless ...
IBM is betting $11 billion that real-time data infrastructure will become as critical to AI deployments as databases were to enterprise applications. The company's just-announced acquisition of ...
With AI applications and agents increasing the demand for trusted real-time data, IBM plans to combine the Confluent platform with its AI infrastructure software and automation systems. IBM has struck ...
Confluent survey: 90% of respondents say data streaming platforms can lead to more product and service innovation in AI and ML development 86% of respondents cite data streaming as a strategic or ...
90% of IT leaders are boosting investments in DSPs in 2025 “From powering agentic AI to enabling real-time fraud detection, data streaming platforms are quickly becoming the fuel for modern ...
IBM (IBM) revealed today it plans to acquire Confluent (CFLT), a pioneer in data streaming, for about $11B, prompting Confluent shares to surge more than 25% during early Monday trading. Confluent ...
Confluent added 340 new customers—its highest net add in three years—while continuing to position its real-time data streaming platform as critical infrastructure for enterprises looking to build next ...
Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem plaguing generative AI investments—lack of fresh, trustworthy data—by ...
NFL fandom in the US has moved beyond the television. As streaming platforms reshape how games are delivered, a parallel ...