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AI data readiness: C-suite fantasy, big IT problem

CIO

It says our job as technology leaders can help educate our audience on what is possible and what it will take to get to their goal. Confidence from business leaders is often focused on the AI models or algorithms, Erolin adds, not the messy groundwork like data quality, integration, or even legacy systems.

IT 504
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Build a strong data foundation for AI-driven business growth

CIO

If the data volume is insufficient, it’s impossible to build robust ML algorithms. The power of modern data management Modern data management integrates the technologies, governance frameworks, and business processes needed to ensure the safety and security of data from collection to storage and analysis.

Business 418
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Artificial Intelligence in practice

CIO

Until recently, discussion of this technology was prospective; experts merely developed theories about what AI might be able to do in the future. When considering how to work AI into your existing business practices and what solution to use, you must determine whether your goal is to develop, deploy, or consume AI technology.

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AI market evolution: Data and infrastructure transformation through AI

CIO

Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. The Nutanix State of Enterprise AI Report highlights AI adoption, challenges, and the future of this transformative technology. Nutanix commissioned U.K. Nutanix commissioned U.K.

Marketing 482
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Why ethical AI should be important to CIOs

CIO

Salima Bhimani has been encouraging the responsible and ethical use of AI for several years as Alphabet’s first chief strategist and director for inclusive and responsible technology, business, and leaders from 2017 to 2023. How do we expand the benefits of this technology to what we’re trying to achieve as a business?

Loss 491
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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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10 top priorities for CIOs in 2025

CIO

To keep ahead of the curve, CIOs should continuously evaluate their business and technology strategies, adjusting them as necessary to address rapidly evolving technology, business, and economic practices. Since the introduction of ChatGPT, technology leaders have been searching for ways to leverage AI in their organizations, he notes.