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/ 6 MIN READ

The Hidden Cost of Semantic Drift in Enterprise AI

Three teams ask the same question: “What was our gross margin last quarter?” Finance’s dashboard shows it’s 30%. Sales’ margin reports show 32%. The AI copilot reports 31%. Which one’s correct? Technically, all of them.…

Posted By: Dave Mariani

/ 4 MIN READ

Data & Analytics Predictions for 2026

As 2025 comes to a close, one thing is clear: the experimentation phase of GenAI in data and analytics is ending. In its place, enterprises are entering a more pragmatic era focused on trust, governance,…

Posted By: Dave Mariani

/ 9 MIN READ

Using a Semantic Layer With Your Data Strategy in Financial Services

Financial 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…

Posted By: Ravit Jain

/ 5 MIN READ

Data Storytelling and Trusted AI

Building Trustworthy Narratives Data storytelling with trusted AI facilitates an engaging but trustworthy narrative. It makes sense of complex data sets by communicating insights in an easy-to-understand way. However, with the increasing use of AI…

Posted By: Ravit Jain

/ 10 MIN READ

How Data Scientists Should Leverage BI Infrastructure

This 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…

Posted By: Tobias Zwingmann

/ 7 MIN READ

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.…

Posted By: Vin Vashishta

/ 5 MIN READ

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…

Posted By: Zach Eslami

/ 8 MIN READ

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…

Posted By: Josh Epstein

/ 11 MIN READ

How to Use the Best AutoML Tools to Scale ML…with Caution

The use of AutoML products has increased drastically in the last few years as AI has become more widely applied in the modern data analytics stack. And there’s still potential for more growth in the…

Posted By: Zach Eslami