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.
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.
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.
Redefining Data Engineering for the Agentic Era
“The data integration landscape is currently undergoing a seismic shift. We are moving away from an era of human-led data pipelines and entering the age of Agentic Data Management.
Why Open Data Infrastructure matters for data access and control
Agentic AI puts new pressure on data access, making architectural flexibility and control more important than ever.
Bringing Enterprise Context into the Workflows Where Decisions Actually Happen
One of the things I have learned spending time with enterprise data and analytics teams is that insight without proximity to action is only half the job. You can build a beautiful dashboard, surface a critical pattern, or flag a risk in real time, and still have the insight die on a slide before it ever changes what happens next. The gap between "we know this" and "we did something about it" is one of the most persistent problems in enterprise software.
NetSuite Financial Reporting: How To Optimize, Automate, and Get the Reports You Need
The ability to produce accurate and timely financial reports is a core skill needed in all organizations. Reports reveal the true health of companies, highlighting the positives and negatives that will affect enterprise performance for years to come. You have countless reports you can create, all with valuable insights to offer. But you should consider these a must.