April 6, 2026
Best Data Governance Tools for Enterprises: 2026 GuideFor years, data governance was viewed as a background concern. Teams had bigger priorities to tackle and more pertinent problems to solve. Then AI agents came into the fold and started generating business decisions from inconsistent data, and suddenly, governance…
As AI agents move beyond the helpful copilot phase and into more powerful applications, enterprises are responding with global adoption. Agentic AI is everywhere, from analytics and finance to customer service and operations. It's changing how organizations go from asking…
March 30, 2026
Why AI Agent Governance is the Latest Priority for EnterprisesOver the past year alone, AI tools that once surfaced insights and handed them to a human for action have begun carrying out those actions themselves. Sixty-two percent of organizations are now experimenting with AI agents, according to McKinsey's latest…
March 27, 2026
AI vs. BI: Differences, What Changed, and Why Semantics Became CriticalEnterprise analytics was never just about data. It was about trust and confidence, getting the right people the right information so they could make intelligent decisions and keep things moving forward. The BI stack was made for that purpose, and…
March 26, 2026
AI Agents Are Transforming Compliance: Opportunities and Risks for Enterprise DataAutonomous AI agents, which are systems designed to accomplish tasks and goals independently without human oversight, have become integral across a wide range of use cases, spanning from customer service to supply chain management. It's no surprise that, as regulatory…
March 16, 2026
Using AI Agents for Data Analysis: How Autonomous Agents Are Changing AnalyticsFor a long time, enterprise analytics centered around building dashboards, running scheduled reports, and relying on the right person to ask the right question at the right time. That model is changing. Autonomous AI agents can now look through data…
February 12, 2026
Welcoming Luis Maldonado as Chief Product OfficerWe’re excited to share that Luis Maldonado has joined AtScale as our new Chief Product Officer. Luis will lead AtScale’s global product strategy, roadmap, and execution as we scale our AI-ready semantic layer platform. As enterprises move from AI experimentation…
We’re excited to share that Amy Miller has joined AtScale as our new Vice President of Customer Success. Amy will lead AtScale’s global customer success organization, with a focus on driving customer adoption, operational excellence, and measurable business outcomes across…
December 16, 2021
AtScale Supports DataRobot Core for Code-First Data ScienceAtScale partner DataRobot today announced DataRobot Core, a program including platform enhancements, resources, and community support targeting code-first data scientists. Code-first data scientists and enterprise AI developers have a specific set of needs from technology providers - requiring the flexibility…
March 4, 2019
What are the Costs of Building a Team of Data Scientists?What does it take build and support a team of data scientists? Conducting exploratory data analysis or even basic business intelligence on Hadoop often requires input from data scientists who: Create models for related information across Hadoop. Structure databases to…
If you are like me, a Tableau fan, you’ve probably used Tableau for many years, attended numerous Tableau Conferences, and cheered with great enthusiasm when the engineers at Tableau demonstrated the latest and greatest enhancements to the software. You may…