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The key to operational AI: Modern data architecture

CIO

However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure. To succeed, Operational AI requires a modern data architecture. Ensuring effective and secure AI implementations demands continuous adaptation and investment in robust, scalable data infrastructures.

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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

The evolution of cloud-first strategies, real-time integration and AI-driven automation has set a new benchmark for data systems and heightened concerns over data privacy, regulatory compliance and ethical AI governance demand advanced solutions that are both robust and adaptive.

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From project to product: Architecting the future of enterprise technology

CIO

In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform. This transformation requires a fundamental shift in how we approach technology delivery moving from project-based thinking to product-oriented architecture. The stakes have never been higher.

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Securing AI Infrastructure for a More Resilient Future

Palo Alto Networks

Indeed, many of the same governments that are actively developing broad, risk-based, AI regulatory frameworks have concurrently established AI safety institutes to conduct research and facilitate a technical approach to increasing AI system resilience. Help prevent sensitive data leaks with comprehensive data classification capabilities.

Security 104
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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. What does the next generation of AI workloads need?

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Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO

Savvy IT leaders, Leaver said, will use that boost to shore up fundamentals by buttressing infrastructure, streamlining operations, and upskilling employees. “As 40% of highly regulated enterprises will combine data and AI governance. 75% of firms that build aspirational agentic AI architectures on their own will fail. “The

Company 191
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AI’s data problem: How to build the right foundation

CIO

Yet, as transformative as GenAI can be, unlocking its full potential requires more than enthusiasm—it demands a strong foundation in data management, infrastructure flexibility, and governance. Trusted, Governed Data The output of any GenAI tool is entirely reliant on the data it’s given.

Data 147