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10 AI strategy questions every CIO must answer

CIO Business Intelligence

The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. Is our AI strategy enterprise-wide?

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

DataFloq

Enterprises today are in dire need of AI adoption and data management, thanks to increased competitiveness and unprecedented demand for automation. Content Marketing: Generative AI has streamlined multi-layered processes such as content strategy, creation, and publishing to a large extent.

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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform.

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Data Fluency vs. Data Literacy: The Key to AI-Driven Business Success

Jen Stirrup

Companies that focus on developing data fluency achieve significantly better results with analytics, digital transformation, and AI adoption. It represents the difference between organizations that can leverage AI as a transformative force and those that merely mess around with their data without realizing its full potential.

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Steps taken to build Sevita’s first enterprise data platform

CIO Business Intelligence

As such, the data on labor, occupancy, and engagement is extremely meaningful. Here, CIO Patrick Piccininno provides a roadmap of his journey from data with no integration to meaningful dashboards, insights, and a data literate culture. You ’re building an enterprise data platform for the first time in Sevita’s history.

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Data distilleries: CIOs turn to new efficient enterprise data platforms

CIO Business Intelligence

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise.

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

Jen Stirrup

The most alarming aspect isn't that these projects fail due to technological limitations or lack of innovation, but rather because they're built upon weak data foundations. "Organizations rushing to implement AI without addressing fundamental data challenges are essentially building sophisticated engines without reliable fuel."