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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

There is, however, another barrier standing in the way of their ambitions: data readiness. Strong data strategies de-risk AI adoption, removing barriers to performance.

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The AI-Driven Enterprise: Aligning Data Strategy with Business Goals

DataFloq

As companies prepare to meet this demand with a structured approach towards data modernization , their success relies on a foundational alignment between data strategies, AI adoption initiatives, and the overarching goals and objectives of the business. How to Create a Data Strategy Aligned With Business Goals?

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How to future-proof your AI-driven data strategy

CIO Business Intelligence

But first, enterprises need a future-proof AI data strategy. That starts with deploying infrastructure on a flexible platform that’s positioned to support data growth. Deploying in AI-ready data centers We all know that AI requires data centers. Your future-proof AI data strategy begins here.

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The 4 key aspects of a successful data strategy

CIO Business Intelligence

How do data strategies work and do companies even need them? A key factor in achieving this goal is the effective use of data: it allows companies to identify efficiency reserves in processes and to better understand customers to adapt products and services or even develop new offerings.

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The Unexpected Cost of Data Copies

How replicated data increases costs and impacts the bottom line. How a next-gen data lake can halt data replication and streamline data management. What to consider when implementing a "no-copy" data strategy. How Dremio delivers clear business advantages in productivity, security, and performance.

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Bridging the AI Execution Gap: Why Strong Data Foundations Make or Break Enterprise AI

Jen Stirrup

When organizations attempt to build advanced analytics or AI capabilities on shaky data foundations, the results are predictable. As Forrester's 2024 AI Implementation Survey notes, "Companies that prioritize data strategy before AI deployment are 3.2 times more likely to achieve positive ROI from their AI investments."

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Why data quality drives AI success

CIO Business Intelligence

How to ensure a quality data approach in AI initiatives Building successful AI initiatives starts with a strong data foundation. That’s why our platform is designed to make it easier for organizations to ensure data quality at every step. From curation to integration, we help you align your data strategy with your AI goals.