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.…
August 18, 2022
Using a Semantic Layer With Your Data Strategy in Financial ServicesFinancial 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…
July 28, 2022
Why Decision Intelligence Is The Most Important Data Analytics Trend Of This DecadeIn every organization, thousands of decisions are being made every single day. These are orchestrated across enterprise functions, geographies, and at the strategic and tactical levels. Surprisingly, research results reveal that the vast majority of these decisions turn out to…
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…
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…
June 28, 2022
Improving Data Analytics: Key Insights from Fifth Third Bank, Stanley Black and Decker, and Snap Inc.I hosted another round of interviews last week with data leaders about generating actionable insights and improving data analytics. We discussed the importance of building a data-driven culture, measuring the success of data analytics initiatives, and how to overcome the…
May 31, 2022
Deliver Self-Service BI at scale with the Semantic Layer + DatabricksI recently had the opportunity to sit down for a tech talk with an extraordinary guest: Franco Patano, the lead product specialist for Databricks SQL. We had a great conversation about how a semantic layer can work with the Databricks…
May 17, 2022
The softer side of enterprise analytics: Culture, Org Design, Process ManagementMany companies pursuing a path to data-driven decision-making – accelerated through data democratization – struggle with how to define and support the core people, roles, and competencies involved with data (data creators, enablers, and consumers). In many cases, the path…
April 14, 2022
Creating & Fostering a Data-Driven Culture: Lessons from Kolibri Games, Direct Supply, BetMGM, and PayPalDuring another round of interviews with data leaders, I spoke with several industry experts about creating and fostering a data-driven culture. We discussed different data architectures, the gap between data produced and data consumed, data literacy, and more. The data…
March 31, 2022
Scaling Self-Service Analytics: Actionable Insights Series Part ICurated 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…
