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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. In 2025, data masking will not be merely a compliance tool for GDPR, HIPPA, or CCPA; it will be a strategic enabler.

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Software infrastructure 2.0: a wishlist

Erik Bernhardsson

Software infrastructure (by which I include everything ending with *aaS, or anything remotely similar to it) is an exciting field, in particular because (despite what the neo-luddites may say) it keeps getting better every year! Anyway, I feel like this applies to like 90% of software infrastructure products. Ephemeral resources.

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Cloud analytics migration: how to exceed expectations

CIO

The right tools and technologies can keep a project on track, avoiding any gap between expected and realized benefits. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

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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.

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MLOps 101: The Foundation for Your AI Strategy

Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. What are the core elements of an MLOps infrastructure? Why do AI-driven organizations need it?

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IT resiliency: Running two different hypervisors

CIO

This may involve embracing redundancies or testing new tools for future operations. Many are reframing how to manage infrastructure, especially as demand for AI and cloud-native innovation escalates,” Carter said. Rather than wait for a storm to hit, IT professionals map out options and build strategies to ensure business continuity.

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Choosing a cloud infrastructure provider: A beginner’s guide

TechCrunch

Deploying cloud infrastructure also involves analyzing tools and software solutions, like application monitoring and activity logging, leading many developers to suffer from analysis paralysis. These companies are worried about the future of their cloud infrastructure in terms of security, scalability and maintainability.