GitHub Copilot for Azure, now available in Visual Studio Code, empowers developers with an AI-driven assistant to streamline Azure management, deployment, and resource control directly from their coding environment. This tool minimizes time lost to context-switching by integrating Azure documentation, deployment assistance, and troubleshooting features within VS Code, making cloud development more efficient. Ideal for both seasoned Azure users and newcomers, Copilot for Azure transforms Azure workflows by simplifying complex tasks like provisioning, debugging, and managing resources.
Microsoft
SLMs present an exciting opportunity for creating a more energy-efficient and sustainable approach to AI. They lower computational requirements, facilitate edge deployment, and maintain similar performance levels for certain tasks, which can help lessen the environmental footprint of AI while still providing essential advantages. Additionally, prioritizing data privacy and responsible data management can greatly reduce energy use in data centers. By encouraging ethical data practices, empowering users, and promoting energy efficiency through SLMs, we can pave the way for a greener and more privacy-aware digital landscape.
Telstra InfraCo is constructing a 14,000-kilometer high-speed fiber network across Australia, aimed at significantly enhancing the nation’s digital infrastructure. This $1.6 billion project, supported by a strategic partnership with Microsoft, will connect major cities and remote regions, boosting AI capabilities and supporting various industries. The new fiber network is designed to withstand Australia’s challenging terrains, ensuring reliable connectivity for years to come. Ultimately, this project positions Australia as a leader in digital innovation, enabling a more connected and competitive future.
The European Union AI Act, a 458-page document with 113 articles, aims to categorize AI systems based on risk levels: unacceptable, high, limited, and minimal risk. It bans government social scoring systems and manipulative AI systems, with strict compliance requirements for high-risk areas like infrastructure and healthcare. As the AI field continues to evolve rapidly, the legislation will need to keep pace with updates and interpretations. It’s essential for companies to prioritize transparency and risk assessment in their AI development process to comply with the new requirements. The EU AI Act represents a significant step in regulating AI, and its impact on the industry will be closely monitored as it unfolds.
OpenAI’s ‘Strawberry’ project focuses on advancing AI reasoning, planning, and execution. Supported by Microsoft, this initiative aims to enable AI models to perform autonomous deep research, handle complex tasks, and bridge the gap between current capabilities and human-like reasoning.
Oracle introduces HeatWave GenAI, featuring the industry’s first in-database large language models and an automated vector store. This innovation enables enterprises to develop AI applications without data migration, AI expertise, or additional costs, outperforming competitors like Snowflake and Google BigQuery.
Discover how generative AI is transforming the telecom industry through strategic partnerships between telcos and tech vendors. These collaborations embed AI at the core of operations, enhancing connectivity, operational efficiencies, and customer experiences. Stay informed about the latest developments and the impact of AI and Gen-driven innovations in telecommunications.
Telefónica’s integration of generative AI, powered by strategic partnerships with Microsoft, is transforming telecom operations and enhancing customer experience. Learn how AI-driven transformation is setting new standards in the telecommunications sector.
5G Magazine – “Private Networks” edition provides an in-depth view of the current state of the global Private 5G Networks covering ecosystem players’ expectations, challenges, strategies, deployments, architecture, and use cases.
The featured articles/interview in this edition are from AT&T Business, Amdocs, OnGo/CBRS Alliance, and Capgemini Engineering. Additionally, we cover 27 ecosystem players, including network equipment vendors, mobile network operators, cloud/edge vendors, enterprises, CBRS spectrum operators, and private network specialists, including neutral hosts and system integrators. Sample ecosystem players we have included in this issue are Nokia, Ericsson, Rakuten, AT&T, Parallel Wireless, Verizon, Telefonica, Vodafone, Bosch, Mercedes-Benz, Lufthansa, Celona, Federated Wireless, Athonet, and Airspan.
- 5G, Edge/MEC, Private Networks, Security
- Airspan, Amazon, Amdocs, ATT, AWS, CBRS, Celona, Ericsson, Federated Wireless, JMA Wireless, LTE, Mavenir, Microsoft, Nokia, OnGo, Parallel Wireless, Private 5G, Rakuten, Spectrum, Telefonica, Verizon, Vodafone
- Aerospace and Defense, Agriculture, Education, Energy & Utilities, HealthCare, Industrial Automation, Innovation Hub, Manufacturing, Media and Broadcast, Mining, Ports, Public sector, Smart Cities, Sports & Events Venue, Transportation
Microsoft News Feed
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AI that clicks for you: Microsoft’s research points to the future of GUI automation
by Michael Nuñez (VentureBeat) on November 30, 2024
Microsoft research reveals how AI agents are transforming computer interaction through GUI control, with major tech companies racing to deploy LLM-powered automation tools worth $68.9 billion by 2028.
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Microsoft’s 10 new AI agents strengthen its enterprise automation lead
by Matt Marshall (VentureBeat) on November 24, 2024
In a three-part video series with generative AI developer and expert Sam Witteveen, I explore what Microsoft's announcements about AI agents mean for enterprises, why Microsoft is pulling ahead as a leader in agentic AI, and how these tools may transform the way companies handle workflows.
Whitepaper
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...
Whitepaper
The whitepaper, "How Is Generative AI Optimizing Operational Efficiency and Assurance," provides an in-depth exploration of how Generative AI is transforming the telecom industry. It highlights how AI-driven solutions enhance customer support, optimize network performance, and drive personalized marketing strategies. Additionally, the whitepaper addresses the challenges of integrating AI into...
Article & Insights
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...
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