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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. Cloud-native data lakes and warehouses simplify analytics by integrating structured and unstructured data.

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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! bigframes.pandas provides a pandas-compatible API for analytics, and bigframes.ml I will certainly be trying to build some internal multi-agents using ADK. BigFrames 2.0

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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. If competitors are using advanced data analytics to gain deeper customer insights, IT would prioritize developing similar or better capabilities.

Strategy 200
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Part 1: A Survey of Analytics Engineering Work at Netflix

Netflix Tech

This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

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Why thinking like a tech company is essential for your business’s survival

CIO

A great example of this is the semiconductor industry. Educating and training our team With generative AI, for example, its adoption has surged from 50% to 72% in the past year, according to research by McKinsey. For example, when we evaluate third-party vendors, we now ask: Does this vendor comply with AI-related data protections?

Company 186
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Bridging the gap between mainframe data and hybrid cloud environments

CIO

Without integrating mainframe data, it is likely that AI models and analytics initiatives will have blind spots. However, according to the same study, only 28% of businesses are fully tapping into the potential of mainframe data insights despite widespread acknowledgment of the datas value for AI and analytics.

Cloud 147
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The mainframe’s future in the age of AI

CIO

AI can, for example, write snippets of new code or translate old COBOL to modern programming languages such as Java. “AI The relative reliability, security, and scalability of mainframes make them refractory to the competing clouds and render them very useful in analytic and decision-making work lubricated by AI,” he says.

Survey 200