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…
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…
June 14, 2022
What Is DataOps and How a Semantic Layer Can Support ItThere are six key areas for effectively consuming data for business insights: data, access, model, analyze, consume, and insights. For organizations looking to advance in each of these areas, AtScale’s Data and Analytics Maturity Model Workshop explains how teams can…
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 15, 2022
Data Leader Interviews: Lessons from Leaders at Bank of America, Hanover Insurance Group, Rockwell Automation and SAPIn another round of data leader interviews, I spoke with a few more data analytics experts about enterprise data strategies. We discussed which stakeholders should be involved in defining a data strategy, how organizations can be more agile and how…
February 24, 2022
Data Leader Interviews: Lessons Learned from Cigna, Visa, Amazon & HCLI recently connected with a few of the top data leaders to discuss the role of business analytics and machine learning at their organizations. We chatted about the nuances of global data programs, promoting data literacy at large enterprises, measuring…
