August 25, 2022

Moving From Correlation to Causation – the Next Big Step in AI

John K. Thompson, Analytics Leader, Innovator, and Author of Building Analytics Teams and Data for All. Currently, when talking about Artificial Intelligence (AI) in the context of enterprise class, commercial companies, it is more of an art than a science.…

Posted by: John K. Thompson

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

August 11, 2022

How Trumid Enables Real-Time Analysis with BigQuery & Looker

I recently hosted a live customer webinar with a Forbes Top 50 FinTech company that uses AtScale to support their data science initiatives. Trumid’s senior data engineer Colin Reid joined me to share insights into the problems his team is…

Posted by: Dave Mariani

August 4, 2022

AtScale + Snowflake: Enable Dimensional Analysis in the Data Cloud

AtScale’s partnership with Snowflake has dramatically expanded our customers' data processing capabilities — guiding them toward analytics modernization. From delivering analysis-ready data to extending legacy tool services through dialect support, data practitioners can now deliver blazing-fast dimensional analysis to enable…

Posted by: Arthur Lindow

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

July 7, 2022

The Business Impact of Using a Semantic Layer for AI and BI

Companies are in the midst of making major investments in modern cloud data and analytics platforms to improve business growth, customer loyalty, efficiency, and profitability. Questions concerning if an investment to enable data, insights, and analytics is warranted have been…

Posted by: Prashanth Southekal, PhD, MBA

June 30, 2022

Shifting to a Dimensional Data Modeling Approach Using a Semantic Layer

There are six key areas for effectively consuming data for business insights: storing the data, having access to the data, modeling the data, analyzing it, consuming it, and generating insights from it. For organizations looking to advance in each of…

Posted by: Dave Mariani