Updated September 8, 2022
How to Use a Semantic Layer and Augmented Intelligence to Empower Data ConsumersIn my talk with AI Evangelist, Ben Taylor, we discussed how to use a Semantic Layer and augmented intelligence (AI) to bridge the gap between AI and business intelligence (BI) teams to drive business impact. DataRobot is a powerful enterprise…
Updated September 1, 2022
How to Go Beyond Data Storytelling to ML and AI StorytellingThis post written by Zach Eslami in collaboration with Jeff Curran. Storytelling is an art and a skill. Any good storyteller knows it’s always tricky finding that sweet spot to explain a concept so that it’s detailed, but doesn’t overwhelm.…
Updated August 25, 2022
Moving From Correlation to Causation – the Next Big Step in AIJohn 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.…
Updated August 11, 2022
How Trumid Enables Real-Time Analysis with BigQuery & LookerI 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…
Updated August 4, 2022
AtScale + Snowflake: Enable Dimensional Analysis in the Data CloudAtScale’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…
Updated July 14, 2022
Creating a Time Series ML Model with AtScale’s AI-Link, Snowflake, and FeastExciting news hot off the press: AtScale has recently announced our support for the Feast feature store! This is part of our ongoing efforts to increase the interoperability of our platform to upstream data sources and downstream analytics tools. AtScale…
Updated July 7, 2022
The Business Impact of Using a Semantic Layer for AI and BICompanies 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…
Updated January 6, 2026
Shifting to a Dimensional Data Modeling Approach Using a Semantic LayerDimensional modeling is a technique for organizing data into facts (the metrics you measure) and dimensions (the context around those metrics), enabling faster, easier analytics. The semantic layer sits above the dimensional model and translates your business rules into consistent…
Updated June 23, 2022
How to Use Excel for Analytics in the CloudDespite having a billion users, Excel is not always thought of as a business intelligence (BI) tool. Yet Excel remains by far the predominant BI consumption platform in enterprise data because its formulas and functions make it a powerful tool…
Updated June 21, 2022
Rethinking Feature Stores to Better Align AI/ML to Business Impact“We are drowning in information, but starved for knowledge.” - John Naisbitt The wheels of commerce are always churning, pushing merchants to find new opportunities, answers to questions, and the next breakthrough strategy to keep growing. One can imagine the…
