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

CIO

The implications of the ongoing misperception about the data management needs of AI are huge, Armstrong adds. 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. Thats where the friction arises.

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. Data silos, lack of standardization, and uncertainty over compliance with privacy regulations can limit accessibility and compromise data quality, but modern data management can overcome those challenges.

Business 418
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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

Theyre actively investing in innovation while proactively leveraging the cloud to manage technical debt by providing the tools, platforms, and strategies to modernize outdated systems and streamline operations. They achieved these results through a culture that embraces change and a strong digital foundation, he says.

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Artificial Intelligence in practice

CIO

In the past, creating a new AI model required data scientists to custom-build systems from a frustrating parade of moving parts, but Z by HP has made it easy with tools like Data Science Stack Manager and AI Studio.

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What AI already does well in supply chain management

CIO

That’s because the current generation of AI is already very good at two things needed in supply chain management. Moreover, algorithms can detect one or more events they recognize as precursory to failure, and then warn assembly line operators before production quality falls short.

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The evolving state of enterprise content management: How AI changes the game

CIO

But it doesn’t have to be that way because enterprise content management systems have made great strides in that same timeframe, including with new artificial intelligence technology that makes it far easier for employees to find and make the best use of all the content the organization owns, no matter if it’s text, audio, or video.

Gaming 503