Systems | Development | Analytics | API | Testing

Astera ReportMiner: Automate Document Extraction Across Any Layout or Format

Most enterprises spend 80% of analysts' time just extracting data from documents. Formats change. Vendors switch layouts. Templates break. Astera ReportMiner handles document variability automatically. It converts documents into structured, system-ready data regardless of layout, with no templates and no code. Teams get their time back. Data flows into downstream systems reliably. This video shows how ReportMiner handles real-world document variability and keeps your data pipeline moving automatically.

Stop the Recycled Data Talk: Real Insights in 60 Seconds

Part of our "Did You Know?" series: We're setting the record straight. We’re cutting through the noise to share exactly what differentiates Cloudera from the rest—because in a world full of recycled data talk, we’re here to deliver real insights. In this episode, Jeff Healey breaks down Cloudera's unparalleled data storage capabilities. Learn how the Cloudera object store scales to billions of objects, solving the "small files problem" while increasing performance with full S3 compatibility. Achieve a lower TCO with a modern object store built for analytics and AI anywhere.

On-Premise Data Collection Platforms Compared by Capability (2026)

Most on-premise data collection tools focus on a single method—analytics, web tracking, or surveys. Organizations that need full control over user data—whether for compliance, security, or internal policy—are increasingly turning to on-premise data collection platforms. But once you start researching on-premise data collection tools, things get confusing quickly. Some platforms focus on analytics. Others handle surveys or feedback.

Driving Business Value with AI: 4 Data Democratization Plays

AI-powered analytics is everywhere right now. But the payoff? Not so much. Two patterns show up again and again. The first is an “AI everything” backlog that expands faster than teams can deliver. The second is an insights bottleneck that still forces the business to wait in line for basic answers while analysts drown in ad hoc requests.

Spotter Semantics-The Rosetta Stone for Agentic AI

In 1799, soldiers near Rosetta, Egypt, unearthed a stone carved with the same decree in three scripts: hieroglyphs, Demotic, and Ancient Greek. Because scholars already understood Greek, it unlocked a language—and with that, a civilization’s worth of knowledge that had been dark for over a millennium. We’re at a similar inflection point in enterprise data.

You're Closer to Agentic AI Than You Think

At Qlik Connect, one of the big messages we’re putting in front of customers is this: you’re closer to agentic AI than you think. I believe that because a lot of our customers already have more of the foundation in place than they may realize. If you have been working to improve data quality, strengthen governance, connect data across the business, and move analytics beyond reporting into real decision support, you are already building the conditions agentic AI needs to deliver value.

How Focal Systems Closed the Inventory Gap with Data Streaming | Life Is But A Stream

The average grocery store has 65 to 80% inventory accuracy. One in 10 products is out of stock at any moment. For an industry operating on razor-thin margins and competing against digital-native challengers, that data gap is existential. In this episode, Kevin Johnson, CEO of Focal Systems, sits down with Joseph to explore how his team is using computer vision, data streaming, and stateful stream processing to close that gap at scale.