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

CIO

In 2025, data management is no longer a backend operation. As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. This article dives into five key data management trends that are set to define 2025.

Security 424
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What is data architecture? A framework to manage data

CIO

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). Ensure security and access controls. An organizations data architecture is the purview of data architects. Cloud storage.

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

CIO

Some challenges include data infrastructure that allows scaling and optimizing for AI; data management to inform AI workflows where data lives and how it can be used; and associated data services that help data scientists protect AI workflows and keep their models clean.

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9 IT resolutions for 2025

CIO

I am excited about the potential of generative AI, particularly in the security space, she says. The opportunity to further leverage AI to enhance our security infrastructure, address threats, and enable fraud detection is immense, she says. CIOs are an ambitious lot. Were embracing innovation, he explains.

IT 526
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Accelerating AI at scale without sacrificing security

CIO

For others, it may simply be a matter of integrating AI into internal operations to improve decision-making and bolster security with stronger fraud detection. As AI adoption accelerates, it demands increasingly vast amounts of data, leading to more users accessing, transferring, and managing it across diverse environments.

Security 498
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AI data readiness: C-suite fantasy, big IT problem

CIO

The implications of the ongoing misperception about the data management needs of AI are huge, Armstrong adds. Business leaders may be confident that their organizations data is ready for AI, but IT workers tell a much different story, with most spending hours each day massaging the data into shape. Thats where the friction arises.

IT 504
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7 signs it’s time to modernize your IT systems

CIO

Often, technical leaders don’t devote sufficient time to communication, change management, and stakeholder management,” he observes. Hafez adds that most modernization projects typically fail due to a lack of a realistic expectations, defined requirements, and ineffective change management.

IT 524