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confluent

Introducing Real-Time Context Engine: Simplified Context Engineering With Real-Time, Processed Data for AI

Oct 29, 2025 By Sean Falconer In Confluent
We’re excited to announce our Real-Time Context Engine, now available in Early Access. It’s a key part of Confluent Intelligence, our vision to bring real-time data directly to production AI systems through the power of Apache Kafka and Apache Flink.
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confluent

Faster, Smarter, More Context-Aware: What's New in Streaming Agents

Oct 29, 2025 By Mayank Juneja In Confluent
When we first introduced Streaming Agents, we were solving a fundamental challenge: Every AI problem is a data problem. When data is missing, stale, or inaccessible, even the most advanced agents and LLMs fail to deliver. How do we build scalable agents that aren’t just powerful in isolation, but part of multi-agent systems that are event-driven, replayable, and grounded in accurate data?
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confluent

Streaming Data to AI-Ready Tables: Tableflow for Delta Lake and Databricks Unity Catalog Is Now Generally Available

Oct 29, 2025 By Kasun Indrasiri In Confluent
The true power of data emerges when streaming, analytics, and artificial intelligence (AI) connect—transforming real-time streaming data into actionable intelligence. Yet bridging that gap has long been one of the most complex challenges in modern data architecture. Confluent makes it effortless to capture and process continuous streams of data, while Databricks empowers teams to analyze, govern, and apply AI through Unity Catalog.
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confluent

Unified Stream Manager: Manage and Monitor Apache Kafka Across Environments

Oct 29, 2025 By Rohit Bakhshi In Confluent
If you’re running Confluent Platform or our new offering, Confluent Private Cloud, on-premises, you have your reasons: data sovereignty, regulatory compliance, or maybe a phased cloud migration. Your on-prem Apache Kafka isn’t going anywhere. It’s a critical part of your infrastructure.
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confluent

Tableflow is Production Ready: Delta Lake, Unity Catalog, Azure Early Availability (EA), and More Enterprise-Grade Features

Oct 29, 2025 By Yashwanth Dasari In Confluent
Data-driven organizations know that unlocking real-time analytics from streaming data isn’t just about collecting and transmitting events. It’s about getting high-quality, governed, and query-ready tables into the hands of analysts and business users while ensuring enterprise-grade security and compliance. Traditionally, moving data from Apache Kafka into analytic tables required complex ETL pipelines, manual data wrangling, and custom governance processes.
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confluent

Introducing Confluent Private Cloud: Cloud-Level Agility for Your Private Infrastructure

Oct 29, 2025 By Rohit Bakhshi In Confluent
If you’re on a platform team running Apache Kafka, you know it’s rarely simple. You’re expected to keep it stable, performant, and secure while juggling requests from every direction. Supporting multiple teams and partners leads to operational complexity that never really goes away.
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confluent

Why Apache Kafka Migration Costs Are Often Underestimated

Oct 29, 2025 By Confluent Staff In Confluent
As a critical, stateful system, migrating Apache Kafka deployments is virtually always a complex engineering project where the most significant expenses are often hidden. Scoping and committing to a Kafka migration requires multiple layers of careful calculation involving infrastructure choices, data complexity, team expertise, and risk tolerance. Underestimating these variables leads to blown budgets and extended timelines.
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perforce

AI and Data Privacy: 3 Top Concerns and What to Do About Them

Oct 29, 2025 By Perforce In Perforce
The stakes for AI and data privacy are high. Risks in non-production environments are increasing. Regulatory bodies enact new privacy regulations each year. And concerns are rising as the AI/ML boom continues. Businesses like yours must be aware of key AI data privacy challenges. Read on to learn what these challenges are and how to address them.
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Ep 46 | Keeping Humanity in the Age of AI with Jess Von Bank

Oct 29, 2025 By Cloudera, Inc. In Cloudera
What does it mean to design AI with humanity at its core? Jess Von Bank—futurist, HR transformation leader, and president of Diverse Daisies—joins The AI Forecast to discuss. With host Paul Muller, the two explore how AI is reshaping the workforce and our very sense of what it means to be human. From AI-driven recruiting and workforce redesign to the mental health crisis and the erosion of human connection, Jess challenges leaders to slow down, think deeply, and build technology that serves people—not replaces them.
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