February 16, 2023
Data Science & BI Best Practices to Bring Teams TogetherThis blog is part of a series from Tobias Zwingmann, Managing Partner at RAPYD.AI. RAPYD.AI lets you easily and quickly build fully-functional AI prototypes or AI MVPs powered by state of the art AI-services from Google, Amazon and Microsoft. Tobias…
February 7, 2023
Building Guardrails into your Data Mesh with Analytics GovernanceAs we covered in the first three parts of our data mesh series, a successful data mesh approach empowers domain experts to build their own data products with centrally-governed building blocks. And to enable this model, organizations need to facilitate…
February 2, 2023
What Is an AI Center Of Excellence?This blog is part of a series from Vin Vashishta, Founder and Technical Advisor with V Squared. V Squared advises businesses on enterprise AI strategy, data product strategy, transformation, and data organizational build-out services. They have helped clients deliver products…
January 31, 2023
How to Implement a Composable Analytics Strategy that Supports your Data MeshAs we covered in parts one and two of this blog series, organizations establish data mesh in order to create more widespread, flexible data access across the entire business. And in order to achieve this, a data mesh approach must…
January 26, 2023
Embracing BI to Scale AIHow AI-generated Insights with BI Tools Drives Successful Adoption and Next-Level Business Analytics, Data Analysis, and Decision-Making AI Projects Fail Fast and Often An estimated $500B in worldwide spend on AI in 2023, and seven in ten US organizations…
January 24, 2023
Data Mesh Success Depends on Business-Ready DataThe modern data-driven organization creates, captures, and manages a massive amount of data from many sources. These data assets hold massive potential to generate business value: reducing costs, gaining operational efficiencies, finding new sources of revenue, and outperforming competition. Realizing…
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…
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…
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…
January 10, 2023
Data Analytics is The Foundation of an Enterprise AI StrategyThere is a massive global investment in enterprise AI. While the potential for AI-driven value is huge, organizations are struggling with a common set of challenges to realizing this potential: Lack of data scientists, difficulty in moving more models to…
