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

CIO

From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability. Organizations that leverage these advancements will enhance scalability, ensure compliance, and drive meaningful insights.

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

Xebia

Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy. Take a look at the Agent Garden for some examples! I saw its scalability in action on stage and was impressed by how easily you can adapt your pandas import code to allow BigQuery engine to do the analysis. BigFrames 2.0

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Reimagine application modernisation with the power of generative AI

CIO

By leveraging large language models and platforms like Azure Open AI, for example, organisations can transform outdated code into modern, customised frameworks that support advanced features. NTT DATAs Coding with Azure OpenAI is a prime example of just such a solution. The foundation of the solution is also important.

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Six steps to creating a successful IT strategy: A guide for CIOs

CIO

For example, if a business prioritizes customer focus, IT must step up by improving digital channels and delivering personalized services. This process includes establishing core principles such as agility, scalability, security, and customer centricity.

Strategy 200
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Bridging the IT skills gap, Part 1: Assessing current strategies and introducing GenAI as a unified solution

CIO

The gap between emerging technological capabilities and workforce skills is widening, and traditional approaches such as hiring specialized professionals or offering occasional training are no longer sufficient as they often lack the scalability and adaptability needed for long-term success. Take cybersecurity, for example.

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Unlocking the full potential of enterprise AI

CIO

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] AI in action The benefits of this approach are clear to see.

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Faster, Better, Cheaper: How to Measure the Business Impact of LLMs

Xebia

In the whitepaper How to Prioritize LLM Use Cases , we show that LLMs may not always outperform human expertise, but they offer a competitive advantage when tasks require quick execution and scalable automation. A prime example is automated content creation for long-tail eCommerce products.