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 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…

Posted by: Zach Eslami

May 10, 2022

Accelerate Data Science and AutoML with a Semantic Layer

At AtScale, we love talking to data and analytics technologists and hearing their stories. We recently hosted a tech talk (presentation and demo) with Ben Taylor, Chief AI Evangelist at DataRobot, about how AtScale and DataRobot can help align AI…

Posted by: Dave Mariani

January 25, 2022

How Top Data Leaders Align AI & BI to Business Outcomes

Many organizations still view machine learning and big data analytics through a technical prism. Business leaders know that the fundamental value proposition of these methodologies is in achieving better business outcomes.  I had the pleasure to discuss this topic with…

Posted by: Dave Mariani

September 13, 2021

10 Ways AtScale Helps Organizations Scale Data Science and Enterprise AI

AtScale has been helping bridge Enterprise BI and Data Science for years, recently announcing AtScale AI-Link to simplify access to our semantic layer platform with a Python library designed for data scientists. We clearly see an explosion of interest around…

Posted by: Josh Epstein

July 27, 2021

Augmented Analytics: The Convergence of BI and Data Science

One of the defining themes of digital transformation is the proliferation of AI-driven insights across all enterprise business processes. With the growth of cloud data platforms, the complexity of managing big data has been radically reduced. The availability of powerful…

Posted by: Daniel Gray