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

CIO

Confidence from business leaders is often focused on the AI models or algorithms, Erolin adds, not the messy groundwork like data quality, integration, or even legacy systems. Successful pilot projects or well-performing algorithms may give business leaders false hope, he says. Innovation often involves a lot of misfires, he adds.

IT 504
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The key to operational AI: Modern data architecture

CIO

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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10 top priorities for CIOs in 2025

CIO

AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. Over the next 12 months, IT leaders can look forward to even more innovations, as well as some serious challenges. As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago.

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

CIO

It has become a strategic cornerstone for shaping innovation, efficiency and compliance. From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability.

Security 424
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10 emerging innovations that could redefine IT

CIO

The pace of innovation is relentless. Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. The next generation promises to deliver the same unstoppable parade of innovation. Or maybe just ten or five or one?

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ADIB-Egypt announces 1 billion EGP digital transformation plan

CIO

The investment in digital infrastructure is not just an extension of these efforts, but a strategic move to drive efficiency, innovation, and customer satisfaction to new heights. Machine learning algorithms will enable the bank to analyze customer data and offer tailored financial solutions based on individual needs and preferences.

Banking 370
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Dulling the impact of AI-fueled cyber threats with AI

CIO

It can also create cyber threats that are harder to detect than before, such as AI-powered malware, which can learn from and circumvent an organization’s defenses at breakneck speed. Then there’s reinforcement learning, a type of machine learning model that trains algorithms to make effective cybersecurity decisions.

Security 482