February 7, 2023

Building Guardrails into your Data Mesh with Analytics Governance

As 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…

Posted by: Elif Tutuk

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 AI strategy, data product strategy, transformation, and data organizational build-out services. They have helped clients deliver products with…

Posted by: Vin Vashishta

January 26, 2023

Embracing BI to Scale AI

How 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…

Posted by: Zach Eslami

January 24, 2023

Data Mesh Success Depends on Business-Ready Data

The 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…

Posted by: Elif Tutuk

January 19, 2023

AtScale Enterprise AI Predictions 2023

As 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…

Posted by: Josh Epstein

January 17, 2023

Using Self-Service Tools To Speed Up Data Product Development

This 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…

Posted by: Vin Vashishta

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…

Posted by: Elif Tutuk

January 10, 2023

Data Analytics is The Foundation of an Enterprise AI Strategy

There 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…

Posted by: Dave Mariani

December 20, 2022

Using Augmented Analytics for Predictive and Prescriptive Analyses

There 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…

Posted by: Dave Mariani

February 7, 2023

Building Guardrails into your Data Mesh with Analytics Governance

As 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…

Posted by: Elif Tutuk

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 AI strategy, data product strategy, transformation, and data organizational build-out services. They have helped clients deliver products with…

Posted by: Vin Vashishta

January 26, 2023

Embracing BI to Scale AI

How 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…

Posted by: Zach Eslami

January 24, 2023

Data Mesh Success Depends on Business-Ready Data

The 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…

Posted by: Elif Tutuk

January 19, 2023

AtScale Enterprise AI Predictions 2023

As 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…

Posted by: Josh Epstein

January 17, 2023

Using Self-Service Tools To Speed Up Data Product Development

This 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…

Posted by: Vin Vashishta

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…

Posted by: Elif Tutuk

January 10, 2023

Data Analytics is The Foundation of an Enterprise AI Strategy

There 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…

Posted by: Dave Mariani

December 20, 2022

Using Augmented Analytics for Predictive and Prescriptive Analyses

There 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…

Posted by: Dave Mariani