Confluent, a leader in data streaming and steward of the open-source Apache Kafka system, recently announced its new "Data Streaming for AI" initiative to aid organizations in developing real-time AI ...

Data streaming solutions are a powerful tool for industries that depend on real-time data processing, from fintech companies managing transactions to e-commerce platforms providing personalized ...

At NBCUniversal, Yerrasani led a major platform unification effort that extended Peacock’s Streaming Data Platform and ...

Qlik ®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), today announced new capabilities in Qlik Open Lakehouse that bring streaming ingestion and ...

In the tech world-and increasingly in other sectors as well-data is everything. Confluent Inc. (NASDAQ: CFLT) is a leader in the data streaming space, with a range of platforms and services making it ...

More tools, more chaos Investment in data streaming is ballooning as firms chase AI dreams yet find themselves tangled in a growing thicket of platforms. A new report from Conduktor said adoption is ...

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)-- Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer, today announced it was named a Leader by Forrester Research in The Forrester Wave™: Streaming Data ...

Amplified, a specialist in human-led media measurement, and the Video Futures Collective (VFC), an alliance of Australia’s ...

Streaming data observability startup Datorios Ltd. today announced the immediate availability of a new real-time observability platform for the big-data processing framework Apache Flink. With the new ...

Real-time data streaming, using systems like Apache Kafka and smart models (NLP), detects misinformation instantly and ...

Confluent, the company that built a streaming service on top of the open source Apache Kafka project, has always been about helping companies capture streams of data. First it was on prem, then later ...

How do businesses make timely decisions with efficiency? One approach uses streaming (real-time) data applications that collect, analyze, and offer insights about data as it is generated, as opposed ...