Director, Business Operations at AtScale
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…
September 9, 2019
Flexible, More Usable Data through Intelligent Data VirtualizationEnterprises migrating to the cloud must go beyond simply “lifting and shifting” data into the cloud and embrace an approach that fundamentally transforms how data will be used. AtScale enables the four important capabilities of intelligent data virtualization: Brings all…
September 6, 2019
The Four Cloud Transformation Capabilities of an Adaptive Analytics FabricAn adaptive analytics fabric has the following four capabilities when bridging the gap between users and data: 1 - Bring all data (silos) to users’ fingertips IT organizations today have common server orchestration tools to manage their on-premises and cloud…
September 5, 2019
Cloud Transformation: The Next Data Frontier for Business Intelligence, Machine Learning and AIIntelligent data virtualization will unlock your enterprise shared data intellect. Cloud transformation is happening. The shift to the cloud will drive $1.3T in IT spending by 2022 (Gartner) and spending on public cloud services will total $277B by 2021, a…
April 25, 2019
How AtScale Helps Enterprises Improve Performance on SnowflakeFor businesses that with deal petabyte-scale data environments representing billions of individual items such as transactions or material components, the capacity to rapidly analyze that data is vital. Storing data in an on-premise warehouse is an increasingly unpopular option due…
April 19, 2019
Analyzing Gartner’s 2019 Magic Quadrant for AnalyticsOn February 11th, 2019, Gartner released its latest magic quadrant for analytics and business intelligence platforms. As we’ve done since 2016, we will highlight who Gartner considers the market leaders to be, as well as any notable changes and constants…
March 4, 2019
Two Ways That AtScale Delivers Faster Time To Insight: Dynamic BI Modeling and Improving Query ConcurrencyIn the fifteen years since Tableau was founded, it has emerged as one of the preeminent business intelligence software tools, to the extent that only Microsoft Excel is utilized by more enterprises to analyze data. Tableau’s popularity stems in many…
Disruptive technologies inevitably lead to the emergence of new job functions across all levels of an enterprise. The emergence of cloud computing is no different. Companies are positioning themselves to take advantage of the benefits cloud computing provides and with…
In order to be successful, data driven organizations must analyze large data sets. This task requires computing capacity and resources that can vary in size depending on the kind of analysis or the amount of data being generated and consumed.…
February 12, 2019
How to Connect Excel and Google BigQueryDespite the existence of a plethora of data analytics tools, Microsoft Excel is still the preferred choice for many analysts working with data. With the continued growth of data, as well as migration to the cloud, accessing the data necessary…
The movement of analytical workloads to cloud data warehouses such as Google BigQuery, Snowflake, Amazon Redshift, and Microsoft Azure is a trend that will only continue to grow. The performance and cost benefits of these cloud providers compared to legacy…
January 25, 2019
AtScale Enables Enterprises to Optimize Usage and Save on Costs with AWS Cloud StorageIn recent years, enterprise organizations have opted to migrate to or establish data lakes on cloud technologies to lower costs and increase performance. Cloud solutions’ pay-per-use pricing model and ability to scale on-demand, enables organizations to effectively analyze large data…
January 23, 2019
3 Ways Data Fabric Improves Tableau PerformanceIn the fifteen years since Tableau was founded, it has emerged as one of the preeminent business intelligence software tools, to the extent that only Microsoft Excel is utilized by more enterprises to analyze data. Tableau’s popularity stems in many…