Technology

How to Connect LLM Chat and AI Agents to Enterprise Data Using Built-In MCP in DreamFactory

Feb 6, 2026 By Kevin Hood In DreamFactory

TL;DR: DreamFactory 7.4+ includes a built-in MCP (Model Context Protocol) server that lets you connect any LLM—ChatGPT, Claude, Perplexity, or custom AI agents—to your enterprise databases through governed, role-based APIs. Setup takes minutes: create an MCP service in the admin console, copy the OAuth credentials, and point your AI application to the generated endpoint.

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The Future of AI in the Enterprise

Feb 6, 2026 By InsightSoftware In InsightSoftware

As AI continues to rise in importance across all industries, the cost of implementation, readily available access to cloud computing, and practical business use cases make AI-powered offerings a competitive advantage for product managers, engineering, and data leaders. However, AI isn’t without its fair share of risks and challenges.

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How to Use Databox MCP in Claude to Get Revenue Metrics

Feb 6, 2026 By Databox: Modern BI Software In Databox

See the Databox Model Context Protocol (MCP) in action inside Claude. In this video, we demonstrate how to connect your business data to Claude AI to instantly audit your revenue metrics. Instead of navigating through multiple dashboards, we use the Databox MCP to: Stop guessing if your data is accurate. Start verifying it with Claude and Databox. About this series: This video is part of our "Chat with Your Data" series, where we explore the Databox MCP.

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My AI Agent Stole My Crypto #speedscale #openclaw #aicoding #codingagent #security

Feb 6, 2026 By Speedscale In Speedscale

I thought I found the ultimate coding shortcut: an autonomous AI agent. Turns out, I just bought a one-way ticket to a digital nightmare. A friendly reminder to my fellow devs: Validation isn't optional—it's survival. Your laptop shouldn't have a higher calling than your production environment. Validate now: speedscale.com.

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Supermetrics MCP vs. Databox MCP: Choosing Between Data Pipeline and Analytics Platform

Feb 6, 2026 By Alexander B. Pavlinek In Databox

If you’re evaluating MCP servers for your analytics stack, you’ve probably noticed that “MCP support” can mean very different things depending on the vendor. I’ve been working with both platforms, and the distinction matters more than most comparison articles let on. Supermetrics and Databox both offer MCP implementations, but they’re built for different jobs.

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What is AI Analytics? A Complete Guide for 2026

Feb 6, 2026 By Alexander B. Pavlinek In Databox

Stop looking for an AI Analytics tool. Start looking for an analytics protocol. That advice sounds counterintuitive. Everyone’s searching for “the best AI analytics platform” or “which BI tool has the best AI.” But that framing misses what’s actually happening in the market, and why most AI analytics implementations fail to deliver on their promise.

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AI and Emerging Careers in Data Testing for QA Professionals

Feb 6, 2026 By Sandesh Gawande In The Test Tribe

The emergence of AI has created uncertainties in the software and technology world. As it encroaches into the conventional application test-automation space, QA professionals might feel threatened or even cornered. While it is true that AI is changing traditional testing roles, it also opened new opportunities in the data testing space. But what does AI rely on? Obviously, data!

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No-code automation of manual tests using AI | Zephyr

Feb 6, 2026 By SmartBear In SmartBear

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software, faster. Its no-code automation capability allows you to instantly transform manual test steps into automated executions without writing a single line of code.

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Why Every AI Deployment Needs a Pre-Flight Data Checklist

Feb 6, 2026 By Andrew Churchill & Dave Thomas In Qlik

You’re in the cockpit of a small plane, cruising a few thousand feet in the air. Then, out of nowhere, the airspeed dips and an alarm rings out. The nose drops, and you're in a full-out stall by the time instinct kicks in. You pull back on the yoke, trying to steady the plane, stop the descent and patch things up midair. But that’s exactly the move that seals your fate, sending you into a deeper spiral.

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AI, Predictive Maintenance & Future of PropTech - With Joe Stockton, Oyster Data

Feb 5, 2026 By ORIL In ORIL

In this episode of The Innovation Blueprint, Roman Havrylyuk (CEO of ORIL) talks with Joe Stockton, Co-Founder & CEO of Oyster Data, about how Oyster Data is transforming real estate operations with advanced asset management and AI-driven solutions. Learn how predictive maintenance is reshaping property performance and what the future holds for PropTech in 2026 and beyond. What we cover in this episode.

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