By Erez Schnaider, Technical Product Marketing Manager, ClearML The promise of artificial intelligence, particularly with the advent of LLMs, is transformative. Organizations are eager to harness this power, integrate AI into their products, and automate complex processes in order to materialize the lofty promises of generative AI – efficiency, deep domain knowledge, and a competitive edge.

Data is everywhere, but transforming it into clear, actionable insights is easier said than done. For organizations using Qlik, the platform offers a strong foundation for analysis, but how do you take your dashboards from functional to exceptional? Enter Vizlib from insightsoftware, the game-changing Qlik add-on that empowers users to turn basic dashboards into engaging data stories.

For too long, businesses have been adrift in a sea of static dashboards and colorful visualizations, mistaking activity for insight. They call it business intelligence, but in reality, it's just more noise. These legacy dashboards are inherently unintelligent; they might answer your first question, but they immediately force you to create ten more dashboards to get subsequent answers. It’s a vicious cycle of dashboard sprawl, not true intelligence.

At Confluent, we’re committed to building the world's leading data streaming platform, which gives you the ability to stream, connect, process, and govern all of your data and make it available wherever it’s needed—however it’s needed—in real time. Today, we're excited to announce the release of Confluent Platform 8.0! This release builds on Apache Kafka 4.0, reinforcing our core capabilities as a data streaming platform.

Today’s savviest business organizations rightfully recognize data as an essential asset. However, measuring data value across the entire data estate is challenging due to its inherent complexity. By breaking data down into smaller units that are business-outcome centric — data products — organizations can more accurately and reliably assess their value.

Here’s the truth: without proper data cleaning, your dashboards, forecasts, and strategy are built on shaky ground. In fact, bad data is already costing U.S. businesses more than $3.1 trillion a year, according to one IBM study. That’s not just a number – it’s lost deals, missed targets, and wasted hours chasing down the wrong metrics.

Let me take you on a journey—not into some far-off sci-fi future, but into a tomorrow that’s just around the corner. Imagine this: you walk into your workplace and some of your “colleagues” are no longer human. They’re not robots in the traditional sense, but agents—autonomous software entities, each trained on vast datasets, equipped with decision-making power, and capable of performing economic, civic, and operational tasks at scale.