Updated January 24, 2023
Data Mesh Success Depends on Business-Ready DataThe modern data-driven organization creates, captures, and manages a massive amount of data from many sources. These data assets hold massive potential to generate business value: reducing costs, gaining operational efficiencies, finding new sources of revenue, and outperforming competition. Realizing…
Updated January 19, 2023
AtScale Enterprise AI Predictions 2023As we approach the end of 2022 and reflect on AtScale’s progress over the last 12 months, we asked four of our forward-looking AtScale executives for their thoughts on the broader data, analytics, and enterprise AI markets. Here are their…
Updated January 17, 2023
Using Self-Service Tools To Speed Up Data Product DevelopmentThis blog is part of a series from Vin Vashishta, Founder and Technical Advisor with V Squared. V Squared advises businesses on AI strategy, data product strategy, transformation, and data organizational build-out services. They have helped clients deliver products with…
Updated January 12, 2023
The Definition of Data Mesh: What Is It and Why Do I Need One?Today’s leading businesses prioritize data mesh. The modern data mesh craze ultimately came about to streamline data democratization – that is, making the right data available to the right people at the right time. Democratization is a huge departure from…
Updated January 10, 2023
Data Analytics is The Foundation of an Enterprise AI StrategyThere is a massive global investment in enterprise AI. While the potential for AI-driven value is huge, organizations are struggling with a common set of challenges to realizing this potential: Lack of data scientists, difficulty in moving more models to…
Updated December 20, 2022
Using Augmented Analytics for Predictive and Prescriptive AnalysesThere are six key areas for effectively consuming data for business insights: data, access, model, analyze, consume, and insights. For organizations looking to advance in each of these areas, AtScale’s Data and Analytics Maturity Model Workshop explains how teams can…
Updated December 15, 2022
How to Maximize the Value of AI and BI at ScaleA few weeks ago, I spoke with two industry experts to get a first-hand view of maximizing AI and BI at scale. The panelists included Deepak Jose, Global Head of On-Demand Data and Analytics Solutions at Mars, and Jigyasa Grover,…
Updated December 6, 2022
Deploying “Data as Code” Throughout the Entire EnterpriseHow analysts consume data is a key factor in determining how quickly, accurately, and efficiently stakeholders can make data-driven decisions. Without the ability to freely and speedily share data insights, it can take a lot of time, effort, and expertise…
Updated December 1, 2022
Where The Semantic Layer Fits In Your Data StrategyThis blog is part of a series from Vin Vashishta, Founder and Technical Advisor with V Squared. V Squared advises businesses on AI strategy, data product strategy, transformation, and data organizational build-out services. They have helped clients deliver products with…
Updated November 29, 2022
How Semantic Layer Helps Scale up DataOpsThis blog is written by Vidhi Chugh, Staff Data Scientist at Walmart Global Tech. Vidhi is an award-winning AI/ML innovation leader who works at the intersection of data science, product and research teams to deliver business value and insights. She carries…
