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Agentic AI design: An architectural case study

CIO

Now that we have covered AI agents, we can see that agentic AI refers to the concept of AI systems being capable of independent action and goal achievement, while AI agents are the individual components within this system that perform each specific task.

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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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Making Zero Trust Architecture Achievable

Tenable

4, NIST released the draft Guidance for Implementing Zero Trust Architecture for public comment. Tenable has been proud to work alongside the NIST National Cybersecurity Center of Excellence (NCCoE) to launch the Zero Trust Architecture Demonstration Project.

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12 AI predictions for 2025

CIO

In these uses case, we have enough reference implementations to point to and say, Theres value to be had here.' Weve seen so many reference implementations, and weve done so many reference implementations, that were going to see massive adoption. Now, it will evolve again, says Malhotra. Agents are the next phase, he says.

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The AI Future According to Google Cloud Next ’25: My Interesting Finds

Xebia

Thinking refers to an internal reasoning process using the first output tokens, allowing it to solve more complex tasks. Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy. Gemini 2.5

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CIOs contend with gen AI growing pains

CIO

Unfortunately, despite hard-earned lessons around what works and what doesn’t, pressure-tested reference architectures for gen AI — what IT executives want most — remain few and far between, she said. It’s time for them to actually relook at their existing enterprise architecture for data and AI,” Guan said. “A

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What is S/4HANA? SAP’s latest ERP system explained

CIO

In 2008, SAP developed the SAP HANA architecture in collaboration with the Hasso Plattner Institute and Stanford University with the goal of analyzing large amounts of data in real-time. The entire architecture of S/4HANA is tightly integrated and coordinated from a software perspective. This is referred to as a hybrid approach.

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