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/ 7 MIN READ

Data Mesh Success Depends on Business-Ready Data

The 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…

Posted By: Elif Tutuk

/ 8 MIN READ

AtScale Enterprise AI Predictions 2023

As 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…

Posted By: Josh Epstein

/ 8 MIN READ

Using Self-Service Tools To Speed Up Data Product Development

This 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…

Posted By: Vin Vashishta

/ 7 MIN READ

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…

Posted By: Elif Tutuk

/ 8 MIN READ

Data Analytics is The Foundation of an Enterprise AI Strategy

There 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,…

Posted By: Dave Mariani

/ 5 MIN READ

Using Augmented Analytics for Predictive and Prescriptive Analyses

There 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…

Posted By: Dave Mariani

/ 6 MIN READ

Deploying “Data as Code” Throughout the Entire Enterprise

How 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…

Posted By: Dave Mariani

/ 8 MIN READ

Where The Semantic Layer Fits In Your Data Strategy

This 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…

Posted By: Vin Vashishta

/ 5 MIN READ

How Semantic Layer Helps Scale up DataOps

This 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…

Posted By: Vidhi Chugh