Dashboard Graveyards: Why Nobody Uses the Reports You Built (And What to Do Instead)
Most dashboards stop getting opened long before anyone admits it. Here is why and what to build instead.
AI data integration: Benefits and tools
Learn how AI is revolutionizing data integration. Explore key AI data processing benefits, techniques, and top AI data integration tools.
Introducing BigQuery Graph: Unlock hidden relationships in your data
BigQuery Graph lets data professionals model, analyze and visualize massive-scale relationships in an entirely new way.
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.
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.
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.
Your AI Tool Gives Confident Answers. Are They Based on Your Actual Data?
Most AI tools for business data sound authoritative even when they are wrong. The problem is not the model. It is the architecture behind it.
How to give AI Agents secure access to systems (with remote MCP servers)
AI agents need access to your systems. But are you sure they're accessing them securely? In this video, Tun @DataSurfer breaks down the way most teams give AI agents access today: static API keys, shared credentials, no audit trail. It's a disaster waiting to happen, but what exactly can teams do about it?
Your Customers Want AI Analytics. Tableau's Architecture Says No.
Tableau Next launched as a cloud-only platform on Salesforce Hyperforce. Every generative AI capability on Tableau’s roadmap runs through Salesforce Data Cloud. But for ISVs serving healthcare, financial services, or any customer operating under regulations like GDPR, HIPAA, or DORA, this locks them out completely.
Automate Document Extraction Across Any Layout or Format | Astera ReportMiner
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 without any manual effort. Teams get their time back. Data flows into downstream systems reliably. This video tells how ReportMiner handles real-world document variability and keeps your data pipeline moving automatically.