Updated January 19, 2023
AtScale Enterprise AI Predictions 2023As we approach the end of 2022 and reflect on AtScale’s progress over the last 12 months, we asked four of our forward-looking AtScale executives for their thoughts on the broader data, analytics, and enterprise AI markets. Here are their…
Updated January 17, 2023
Using Self-Service Tools To Speed Up Data Product DevelopmentThis blog is part of a series from Vin Vashishta, Founder and Technical Advisor with V Squared. V Squared advises businesses on AI strategy, data product strategy, transformation, and data organizational build-out services. They have helped clients deliver products with…
Updated January 12, 2023
The Definition of Data Mesh: What Is It and Why Do I Need One?Today’s leading businesses prioritize data mesh. The modern data mesh craze ultimately came about to streamline data democratization – that is, making the right data available to the right people at the right time. Democratization is a huge departure from…
Updated December 20, 2022
Using Augmented Analytics for Predictive and Prescriptive AnalysesThere 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…
Updated December 6, 2022
Deploying “Data as Code” Throughout the Entire EnterpriseHow analysts consume data is a key factor in determining how quickly, accurately, and efficiently stakeholders can make data-driven decisions. Without the ability to freely and speedily share data insights, it can take a lot of time, effort, and expertise…
Updated December 1, 2022
Where The Semantic Layer Fits In Your Data StrategyThis blog is part of a series from Vin Vashishta, Founder and Technical Advisor with V Squared. V Squared advises businesses on AI strategy, data product strategy, transformation, and data organizational build-out services. They have helped clients deliver products with…
Updated November 29, 2022
How Semantic Layer Helps Scale up DataOpsThis blog is written by Vidhi Chugh, Staff Data Scientist at Walmart Global Tech. Vidhi is an award-winning AI/ML innovation leader who works at the intersection of data science, product and research teams to deliver business value and insights. She carries…
Updated November 22, 2022
3 Data Analytics Challenges and Examples of How Decision Intelligence Can Help You Tackle ThemThis blog post is part of a series from Ganes Kesari, entrepreneur, AI thought leader, author, and TEDx speaker. He co-founded Gramener, where he heads Data Science Advisory and Innovation. He advises executives on decision-making with data. He helps apply…
Updated November 17, 2022
Making Everyone a Power Data Analyst with a Semantic LayerThe number of data analysts at your organization is a limiting factor that determines how many stakeholders are able to make data-driven decisions. To make better-informed decisions, organizations need to increase the number of people with the tools and expertise…
Updated November 8, 2022
How You Can Unlock Decision Intelligence at Scale by Aligning BI with AIRecently, I was talking to the head of technology at a retail conglomerate. The executive was actively planning his foray into data science and asked me, “How can we make the transition from business intelligence (BI) to artificial intelligence (AI)?”…
