Microsoft Copilot

Microsoft's Q3 2025 Earnings: Cloud and AI Drive Growth

Microsoft’s Q3 2025 Earnings: Cloud and AI Drive Growth

In Q3 2025, Microsoft announced a robust revenue increase to $70.1 billion, driven by its cloud and AI segments. Highlights include a 20% surge in Microsoft Cloud revenue and Azure's 33% growth, reflecting strong market demand for advanced cloud and AI capabilities.

Microsoft 365 Copilot Adds AI Deep Research Tools: Researcher and Analyst

Microsoft 365 Copilot Adds AI Deep Research Tools: Researcher and Analyst
Microsoft has upgraded its 365 Copilot with AI-driven tools—Researcher and Analyst—designed to handle deep research, strategic analysis, and data insights. Powered by OpenAI models, these features allow users to perform complex tasks like market planning, client reporting, and advanced analytics, while integrating data from platforms like Salesforce and Confluence.

The Core Components of AI Agents: How They Perceive, Learn, Reason, Act, and Communicate

The Core Components of AI Agents: How They Perceive, Learn, Reason, Act, and Communicate
AI agents are transforming industries by automating tasks, improving decision-making, and enabling intelligent interactions. This article explores the five core components of AI agents—perception, learning, reasoning, action, and communication—detailing their functions, technologies, and real-world applications across finance, healthcare, retail, and more.

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AI Pulse: Telecom's New Frontier - TeckNexus Magazine

AI Pulse: Telecom’s New Frontier

Private 5G/LTE and CBRS Networks in Action: Transforming Industries

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5G NR Transparent NTN: Deployment Aspect and Challenges

5G NR Transparent NTN: Deployment Aspect and Challenges

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This article explores the deployment of 5G NR Transparent Non-Terrestrial Networks (NTNs), detailing the architecture's advantages and challenges. It highlights how this "bent-pipe" NTN approach integrates ground-based gNodeB components with NGSO satellite constellations to expand global connectivity. Key challenges like moving beam management, interference mitigation, and latency are discussed, underscoring...
AI-Powered Service Assurance – Leveraging DPUs, GPUs, and GenAI for Next-Gen Networks

AI-Powered Service Assurance – Leveraging DPUs, GPUs, and GenAI for Next-Gen Networks

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Telecom networks are facing unprecedented complexity with 5G, IoT, and cloud services. Traditional service assurance methods are becoming obsolete, making AI-driven, real-time analytics essential for competitive advantage. This independent industry whitepaper explores how DPUs, GPUs, and Generative AI (GenAI) are enabling predictive automation, reducing operational costs, and improving service quality....
How Is Generative AI Transforming Telecom Infrastructure?

How Is Generative AI Transforming Telecom Infrastructure?

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Explore how Generative AI is transforming telecom infrastructure by solving critical industry challenges like massive data management, network optimization, and personalized customer experiences. This whitepaper offers in-depth insights into AI and Gen AI's role in boosting operational efficiency while ensuring security and regulatory compliance. Telecom operators can harness these AI-driven...
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