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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. With machine learning, these processes can be refined over time and anomalies can be predicted before they arise.

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QuantrolOx uses machine learning to control qubits

TechCrunch

QuantrolOx , a new startup that was spun out of Oxford University last year, wants to use machine learning to control qubits inside of quantum computers. The company’s technology is technology-agnostic, and could be applied to all of the standard quantum computing technologies. million (or about $1.9

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

Xebia

It also supports the newly announced Agent 2 Agent (A2A) protocol which Google is positioning as an open, secure standard for agent-agent collaboration, driven by a large community of Technology, Platform and Service partners. Native Multi-Agent Architecture: Build scalable applications by composing specialized agents in a hierarchy.

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“Collaborations between public and private organizations will be vital for the UAE to deliver on digital agenda”

CIO

The partnership is set to trial cutting-edge AI and machine learning solutions while exploring confidential compute technology for cloud deployments. This strategic collaboration is an indication of Core42’s commitment to continue enabling businesses with the best technologies available.

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MLOps 101: The Foundation for Your AI Strategy

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). 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.

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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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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO

The Middle East is rapidly evolving into a global hub for technological innovation, with 2025 set to be a pivotal year in the regions digital landscape. Looking ahead to 2025, Lalchandani identifies several technological trends that will define the Middle Easts digital landscape.

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