Systems | Development | Analytics | API | Testing

Why Enterprise AI Projects Fail - The Token Predictor Problem Executives Don't Understand

Feb 3, 2026 By insightsoftware In InsightSoftware
Why do large language models hallucinate? It's not a modeling problem. It's a data and context problem. This video breaks down why AI fails in enterprise environments and what it takes to get reliable, verifiable answers from your AI systems. When AI doesn't have governed access to live data, no understanding of your business rules, and no guardrails to keep it grounded, hallucinations aren't just likely. They're inevitable.
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integrate

How to Build Event-Based Pipelines (Stripe, Shopify, HubSpot) Without Code

Feb 3, 2026 By Donal Tobin In Integrate
Your e-commerce team is copying Shopify orders into spreadsheets. Your finance team is manually reconciling Stripe payments. Your sales team's HubSpot deals are always days out of date. These disconnected workflows drain productivity and create data silos that cost businesses real revenue. With top API companies now using webhooks, event-based pipelines have become the standard for keeping business systems synchronized in real time.
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integrate

How to Cut BI Ticket Backlogs with AI-ETL for Self-Serve Analysts

Feb 3, 2026 By Donal Tobin In Integrate
Your BI team didn't sign up to spend 69% of their time on repetitive data preparation tasks. Yet this is the reality for most data teams drowning in support ticket backlogs while strategic initiatives languish. Every hour spent manually updating schemas, troubleshooting failed data loads, or running ad-hoc queries is an hour not spent on the analytics that actually drive business decisions.
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Webinar: How B2B Teams Are Cutting Paid Ad Waste (Without Losing Pipeline)

Feb 2, 2026 By Databox: Modern BI Software In Databox
Paid ads are getting more expensive — and less effective. But the teams winning in 2026 aren’t spending more. They’re changing how they measure and run paid. In this webinar, Devin Littlefield (CEO, Market Vantage) breaks down how B2B teams are cutting wasted ad spend without sacrificing pipeline — even as CPCs rise and lead quality drops.
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databox

The Agentic Analytics Leap: How AI Agents Are Upgrading Your BI Team

Feb 1, 2026 By Ziga Potocnik In Databox
Your data team is drowning. They spend 80% of their time on repetitive reporting and only 20% on strategic analysis. You hired them to be analysts, but they’re stuck being report builders. Every Monday morning is the same: pull the numbers, update the spreadsheet, format the email, send it out. Rinse and repeat.
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Chat with Your Data: The Official Databox MCP

Jan 31, 2026 By Databox: Modern BI Software In Databox
We are thrilled to launch the official Databox MCP (Model Context Protocol). This open standard server bridges the gap between your business data and your favorite AI tools, turning general-purpose LLMs into specialized data analysts that know your business data. Stop manually exporting CSVs or taking screenshots of dashboards. With Databox MCP, you can connect 130+ data sources (Google Analytics, HubSpot, Salesforce, Stripe, and more) directly to tools like Claude, ChatGPT, Cursor, and n8n.
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databox

Conversational Analytics: How to Actually Talk to Your Data (And Why It Finally Works)

Jan 31, 2026 By Alexander B. Pavlinek In Databox
I spent years building dashboards that nobody used. Not because they were bad dashboards—they were actually pretty good. Clean visualizations, real-time data, all the metrics leadership said they wanted. But here’s what I learned: the problem was never the dashboard. The problem was that dashboards are a one-way conversation. You look at them. They don’t talk back.
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databox

What is Headless BI? A Guide for Leaders Who Need Answers, Not Just Dashboards

Jan 30, 2026 By Ziga Potocnik In Databox
You have more data than ever, but getting a simple answer feels impossible. Your data lives in dashboards you can’t question and reports that are outdated the moment they’re published. You’re paying for analytics tools that most of your team never touches. And when you actually need an answer – in a meeting, on a call, right now – you’re told to wait for someone to pull a report.
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