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.…
Posted by: John K. ThompsonAugust 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…
Posted by: Ravit JainAugust 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…
Posted by: Dave MarianiAugust 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…
Posted by: Arthur LindowJuly 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…
Posted by: Ganes KesariJuly 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…
Posted by: Zach EslamiJuly 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…
Posted by: Zach EslamiJuly 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…
Posted by: Prashanth Southekal, PhD, MBAJune 30, 2022
Shifting to a Dimensional Data Modeling Approach Using a Semantic LayerThere are six key areas for effectively consuming data for business insights: storing the data, having access to the data, modeling the data, analyzing it, consuming it, and generating insights from it. For organizations looking to advance in each of…
Posted by: Dave MarianiJune 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…
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