Updated October 18, 2022

Defining the Modern Data Landscape

The purpose of this blog is to introduce the modern data landscape. We want to provide our perspective on the data and analytics industry — where we’ve been, where we are now, and where we are heading. We’ll also discuss…

Posted by: Brian Prascak

Updated October 13, 2022

Ways to Enhance Data Accessibility and Time-to-Insights

I recently held a panel discussion with leaders in data management to discuss ways to improve data accessibility across any organization. Our discussion centered around the idea that it’s time to move beyond descriptive and diagnostic insights — reviewing what…

Posted by: Dave Mariani

Updated September 15, 2022

Now Available: AI-Link Lab Environment

At AtScale, we believe in applying data to solve key challenges in the modern data stack for the enterprise. Bringing together key data personas to align on objectives, data, and definitions is crucial for the successful deployment of analytics and…

Posted by: Zach Eslami

Updated August 18, 2022

Using a Semantic Layer With Your Data Strategy in Financial Services

Financial services companies have unique security, regulatory, and compliance obligations. At the same time, the industry is facing rapid evolution and a new generation of FinTech competitors are emerging that aren’t burdened by legacy systems or thinking. At the center…

Posted by: Ravit Jain

Updated July 21, 2022

Ops for MLOps: AtScale AI Innovation Council Insights

We kicked off our inaugural AtScale AI Innovation council today discussing a hot topic: Ops for MLOps: Best practices and processes to expedite model creation and reduce the need for significant re-training. We had a fantastic group of members dive…

Posted by: Zach Eslami
Guide: How to Choose a Semantic Layer
The Ultimate Guide to Choosing a Semantic Layer