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 ...

Receiving the highest scores possible in 14 criteria, Confluent was recognized for strengths in messaging, processing, and event-driven enterprise applications. “Confluent excels across the majority ...

Guillaume Aymé is CEO of Lenses.io, a pioneer in the streaming market that has transformed the way engineers work with real-time data. AI’s adoption rate is expected to dramatically accelerate in the ...

For years, the industry standard for data ops has been a ticket-based service bureau. A product manager wants a new dashboard? Ticket. A data scientist needs a new feature pipeline? Ticket. A ...

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 ...

Will the future of enterprise AI hinge on data streaming engineers and organizations closing the gap between knowing and doing? Richard Timperlake of Confluent looks at where the signs are pointing.

The developer community is “getting its feet under us” with data streaming, but the transition will require organisations to create well-managed data products, Confluent’s vice-president of developer ...

Data stream algorithms have become indispensable in handling the increasing volumes of network data generated in today’s digital environment. These algorithms skilfully process continuous streams of ...

Data stream clustering algorithms play a pivotal role in the analysis of rapidly accumulating and evolving data sets, particularly as technologies such as the Internet of Things expand and generate ...

Among the most serious threats of our information age is a blistering disinformation. Unrelated news might influence, destroy social harmony and even elections. However, unlike in the past when rapid ...

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