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New IDC research commissioned by DI Squared and Qlik reveals a critical gap between fast‑moving AI adoption and the AI‑ready data foundations needed to deliver real ROI. While mature data architectures drive measurable gains in efficiency, innovation, and revenue, nearly half of data leaders still struggle with AI expectations and skills shortages. Read the full report to uncover the frameworks, service strategies, and architectures data leaders are using to turn AI hype into enterprise‑wide results.

Racing to adopt AI without fixing your data is like building a castle on sand. This article unpacks the real cost of skipping data readiness, from failed pilots to fragile “toolbox” solutions, and shows how a strong data culture, modern infrastructure, and shared accountability set AI up to scale. Ready to see what separates stalled experiments from sustainable AI success? Read the full report to learn more.

Whether installing meters, restoring service after outages, performing inspections, or responding to emergency calls, these employees operate in high‑risk environments and spend significant time on the road. As a result, utility service providers face elevated exposure to vehicle accidents and workplace injuries that can lead to lost or restricted time incidents. Tracking these events accurately is not merely an administrative exercise – it is a regulatory necessity.

In the utilities and services sector, mergers, acquisitions, and divestitures are now a standard way to grow and adapt in a highly regulated, capital‑intensive environment. Every one of those moves has direct consequences for core systems, data, and reporting.

Explore four practical ways to align IT and business so data leaders can turn strategy into measurable outcomes. Learn how to bridge priorities, boost collaboration, and use technology as a growth engine for smarter, faster decisions.

Infor Data Fabric is a foundational component of Infor Cloud ERPs like LN and M3, built on AWS to manage, integrate, and analyze enterprise data. It connects core ERP systems through a unified data architecture, streamlining access and performance. Learn how it works and why it matters.

This guide moves beyond basic quality metrics to explore data governance, anomaly detection, and continuous monitoring that prevent costly errors before they impact decisions. Learn practical frameworks for establishing ownership, running effective audits, and building a data quality culture.

This article walks through a practical, scientific approach to selecting ML use cases, validating them with your data, and automating decisions with real-time signals.

Poor data quality is a killer of ROI for analytics and AI initiatives. This guide will move beyond abstract concepts to provide a practical, visual framework that empowers data leaders to build trust in their data assets. We will show what to do and what it looks like when it's done right.

Those of you who have been following the Modern Data Stack movement will know that Fivetran and dbt have been a combination similar to PB&J. Here's how the merger impacts you.

Everyone's racing to adopt AI, but they're forgetting the drivers. Learn techniques to make sure your people are in the driver's seat.

Every delay costs revenue, customers, and competitive edge. Qlik Replicate with Change Data Capture (CDC) keeps data continuously fresh, empowering faster decisions, stronger ROI, and AI-ready insights. Learn how leading businesses gain advantage now.