Updated July 21, 2022
Ops for MLOps: AtScale AI Innovation Council InsightsWe 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…
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 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…
Updated June 16, 2022
The Future of Metrics Tooling, Open Source and Enterprise: Insights from Transform, Cube Dev, and AtScaleI recently joined a roundtable discussion at the Metrics Store Summit with three business intelligence (BI) entrepreneurs (and good friends). We dived into our approaches in this space, the architecture of our products, the technical aspects to how different data…
Updated May 10, 2022
Accelerate Data Science and AutoML with a Semantic LayerAt 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…
Updated April 12, 2022
Aligning AI & BI Teams to Empower Decision-Making: Actionable Insights Series Part IIICurated advice from 50+ data leaders, industry experts & customers Over the last 12 months, we've hosted 18 webinars with 50+ industry experts, data leaders, and customers reaching an audience of 25k+ data and analytics community members/professionals. I've decided to…
Updated January 25, 2022
How Top Data Leaders Align AI & BI to Business OutcomesMany 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…
Updated September 13, 2021
10 Ways AtScale Helps Organizations Scale Data Science and Enterprise AIAtScale 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…
Updated July 27, 2021
Augmented Analytics: The Convergence of BI and Data ScienceOne 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…
Updated August 7, 2020
How to Create an Enterprise AI Strategy: If Your Company Isn’t Good at Analytics, It’s Not Ready for AIRecently, AtScale participated in the Azure Global Summer 2020 AI/ML DataFest. In the session, Dave Mariani, Co-founder and Chief Strategy Officer at AtScale and Daniel Gray, VP of Solutions Engineering at AtScale explained how succeeding in AI requires being good…
