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Build vs. Buy: Why Embedded Analytics is the Strategic Choice for Modern Data Leaders

Feb 6, 2026 By Hagop Panosian In Yellowfin

For today’s CTOs and CIOs, the pressure to deliver actionable data insights within your products has never been higher. However, a critical dilemma often stalls your progress toward the business intelligence tools you need for the task: Should your engineering team build a bespoke analytics engine from scratch, or should you integrate a professional embedded solution?

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Data and AI Trends 2026: Predictions for Agentic AI Production

Feb 6, 2026 By Cindi Howson In ThoughtSpot

Agentic AI is moving quickly from experiments to real work. In 2026, it shows up inside the workflows that drive outcomes: decisions, operations, and accountability. In the season 7 premiere of the Data Chief podcast, host Cindi Howson sat down with three leaders who work at the intersection of AI ambition and enterprise execution: Paul Baier (GAI Insights), Jennifer Belissent (Snowflake), and Rory Blundell (Gravitee).

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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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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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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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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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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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Databox

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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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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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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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