Magazines and Articles
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- 2022 Predictions
- 2023 Predictions
- 5G and Beyond | 2024
- 5G Edge
- 5G for Manufacturing
- 5G for Transportation
- 5G Monetization
- 5G Towers
- Featured
- Foundation
- Generative AI
- Leaders
- Open RAN | 2021
- Open RAN | 2022
- Perspective
- Private Networks | 2021
- Private Networks | 2022
- Private Networks | 2023 Awards
- Satellites and NTN
- Security
- Tech and Connectivity
- TechFusion
- Telco Cloud
Cloud-based inventory management software is transforming how businesses handle their inventory, offering real-time tracking, cost savings, and enhanced collaboration. Unlike traditional systems, cloud-based solutions provide scalability, live data insights, and seamless integration, enabling businesses to efficiently manage orders, track stock, and optimize decision-making. With features like automated backups, powerful analytics, and 24/7 accessibility, companies can reduce costs and streamline operations.
Paul Warburton, Chief Digital and Marketing Officer NSC takes a look at the importance of prioritising the customer experience in the rapidly evolving landscape of technology, particularly with the advent of AI, 5G, and IoT. He warns that businesses risk stagnation if they focus solely on adopting cutting-edge technologies without aligning them with customer needs.
The convergence of AI, IoT, and 5G is transforming industries and creating new possibilities, but this progress must be balanced with considerations of privacy, sustainability, and accessibility.
AI projects are struggling to deliver expected benefits due to complexity, cost, time, technical challenges, and market dynamics. The innovation-adoption gap is outstripping the market’s ability to adapt and find practical applications, leading to overinvestment in promising ideas without sufficient market demand. A fundamental shift in perspective is needed: AI should be viewed as a tool to enhance human productivity, not as a replacement for humans. Successful AI projects incorporate humans at critical junctures, such as problem definition, data preparation, model training, output validation, and ethical oversight. Balancing potential with pragmatism is crucial for successful AI implementation.
Non-terrestrial networks (NTNs) have evolved from experimental satellite systems to integral components of global connectivity. The transition from geostationary satellites to low Earth orbit constellations has significantly enhanced mobile broadband services. With the adoption of 3GPP standards, NTNs now seamlessly integrate with terrestrial networks, providing expanded coverage and new opportunities, especially in underserved areas. This evolution is set to transform telecommunications by enabling innovative applications across various sectors.
Explore how Reliance Jio’s innovative platform, JioBrain, leverages generative AI to transform telecom operations. In this exclusive Q&A, Aayush Bhatnagar discusses JioBrain’s key features, 5G optimization, 6G readiness, and its impact on the Indian and global telecom sectors.
The article discusses the transformative impact of Generative AI on the telecom industry, highlighting its benefits in optimizing operational efficiency, enhancing customer support, and improving knowledge management. Generative AI streamlines processes, reduces the need for human intervention, and provides real-time, accurate responses. It is crucial in network performance, planning, and proactive maintenance, ensuring high reliability and service quality. The technology also facilitates personalized marketing and sales strategies, boosting customer engagement. However, the integration of Generative AI poses challenges such as data management, privacy concerns, infrastructure scalability, and the need for specialized expertise, which must be addressed to fully leverage its potential.
The telecom industry is rapidly evolving, with Generative AI playing a crucial role in tackling challenges like massive data management, network optimization, and personalized service delivery. Supermicro, a leader in AI infrastructure, addresses these challenges through its AI SuperClusters and collaborations with NVIDIA, offering scalable, high-performance solutions tailored to telecom needs. These solutions enable efficient data management, seamless network optimization, and AI-driven service deployment, helping telecom operators stay competitive in a dynamic market while unlocking the full potential of Generative AI.
The integration of private 5G networks with generative AI is transforming enterprise environments by addressing the limitations of traditional connectivity. Industries like manufacturing, warehousing, and construction are reaping significant benefits from this convergence, which facilitates the deployment of advanced, AI-driven automation. This integration offers key advantages, including enhanced operational efficiency, real-time data processing, and robust support for autonomous systems. GXC is instrumental in this transformation, delivering comprehensive private 5G solutions that enable innovative applications and ensure reliable connectivity, even in the most challenging environments.
Discover the transformative potential of generative AI in business with insights from Eugina Jordan. Learn how AI is transforming marketing, customer service, and finance, and explore effective strategies for AI integration and future trends.
- 5G, 6G, AI, AR, Devices, Edge/MEC, IoT, Private Networks, Telco Cloud
- Sports
Discover the future of stadium experiences with 5G and AI-powered digital mascots. From real-time interactions to personalized content, these innovative technologies are revolutionizing fan engagement in sports venues, creating immersive, multi-dimensional events that deepen brand connections and enhance the live event atmosphere.
The article “Generative AI in Telecom: Insights and Strategies from 12 Global Operators” by Hema Kadia explores the diverse and transformative applications of generative AI across leading telecommunications companies. AT&T’s Ask AT&T tool enhances employee productivity by streamlining software development and data analysis. Bell Canada leverages AI to improve customer experience and predict environmental events, optimizing business operations. BT Group uses AI to enhance software development and customer service, while Deutsche Telekom focuses on secure AI solutions and innovative customer service models. Etisalat integrates machine learning to optimize operations and create personalized content. Orange, Jio, Singtel, SK Telecom, Telefónica, Verizon, and Vodafone all showcase unique AI strategies, emphasizing customer service, operational efficiency, and new business opportunities through advanced AI technologies and strategic partnerships. Each company demonstrates how generative AI can revolutionize the telecom industry by improving internal processes, customer interactions, and overall service delivery.
Sports, an activity defined by human movement, may not appear to have much to do with AI. But if there is one thing we know about the impact of AI, is that it is pervasive. Certainly, the sports industry will be no exception. With the Olympics just finalized in Paris, we are here to guide you through how AI seeks to improve the sports industry, along with some of the risks we should be aware of going forward.
Paul Warburton, Chief Digital and Marketing Officer at NSC, explores the transformative potential of private 5G networks, which offer enhanced performance, reliability, and security. These networks are set to revolutionise industries such as manufacturing, healthcare, and logistics by providing robust, low-latency communication solutions. However, the widespread adoption of private 5G faces significant challenges, including a limited vendor ecosystem, compatibility issues with legacy systems, complex regulatory frameworks, and heightened security concerns.
Paul believes that overcoming these barriers requires collaboration between technology providers, policymakers, and industry stakeholders. By balancing innovation with established practices, the full potential of private 5G networks can be unlocked, leading to a new era of connectivity and operational efficiency across sectors.
Generative AI (GenAI) is transforming industries by creating original content such as text, images, audio, and videos. The introduction of ChatGPT by OpenAI in November 2022 highlighted GenAI’s potential, leading to widespread adoption and rapid advancements in 2023. Key developments include multi-modal capabilities and practical applications in fields like healthcare, legal analysis, and finance. Despite challenges in data governance and customization, GenAI’s ability to enhance productivity and innovation underscores its significant impact across various sectors.
Artificial Intelligence is being utilized to enhance the employee experience in various ways. One key aspect is the use of AI-powered chatbots to provide instant support and answer common HR-related questions. This not only improves efficiency but also ensures employees have access to information whenever they need it. Additionally, AI can help personalize the employee experience by analyzing data to tailor benefits and development opportunities to individual needs.
Private 5G networks are transforming digital transformation by providing tailored, secure connectivity for various industries. Unlike public networks, private 5G offers dedicated solutions for sectors like manufacturing, transport, and healthcare. This article explores the benefits, key adopters, and strategic partnerships driving the implementation of private 5G, highlighting its role in enhancing productivity, safety, and sustainability.
Discover how private networks and AI are transfroming industries in this detailed Q&A between GXC and PwC experts. Patrick Parodi and Harish Nalinakshan discuss the impact of digital transformation, the critical role of connectivity, and the future of hybrid networks, providing insights into how AI and private networks are reshaping operational efficiency, security, and business outcomes.
Discover the top 9 trends transforming telecom inventory management in 2024. From predictive analytics and blockchain technology to AI-driven insights and IoT integration, these trends are optimizing operations, enhancing customer satisfaction, and promoting sustainability in the telecom industry.
India’s diverse sectors are composing unique 5G symphonies with private networks. This article explores industry-specific adoption of private 5G, key players, and strategic steps for seamless deployment. Address cost challenges, spectrum issues, and essential security measures to ensure a successful transition to private 5G networks.
Can you safely input personal data into AI models? The answer: it depends.
When it comes to using personal information in cutting-edge AI technology like LLMs, it’s important to consider GDPR compliance and the potential risks associated with data retention and leaks. The article delves into the key considerations, looks into mitigating risks as well as LLM’s and GDPR compliance.
When it comes to using personal information in cutting-edge AI technology like LLMs, it’s important to consider GDPR compliance and the potential risks associated with data retention and leaks. The article delves into the key considerations, looks into mitigating risks as well as LLM’s and GDPR compliance.
Unlocking the potential of industrial digitalization with Nokia’s vision for private wireless networks. Based on the 2024 Industrial Digitalization Report, this article explores the evolution, benefits, and future potential of private wireless and edge infrastructure. Discover how Nokia’s solutions are driving operational efficiency, cost savings, and sustainability across industries.
Explore how private 5G/LTE networks are enhancing enterprise connectivity by offering enhanced security, scalability, and operational efficiency. Learn from a real-world case study of GXC Onyx’s deployment in a manufacturing campus.
- 5G, AI, Edge/MEC, IoT, Private Networks
In today’s rapidly evolving digital landscape, industrial enterprises are facing unprecedented challenges and opportunities. Disruptions caused by the pandemic, supply chain issues, and intense competition have made it imperative for CIOs to prioritize digital transformation initiatives that seamlessly converge and integrate operational technology (OT) and information technology (IT) domains.
For years, telcos have been talking about the disruption and opportunity that a new breed of cloud-native 5G services will bring. It takes one lightbulb moment to shift industry perspectives into a different gear. In 2023, that moment came with the news that Amazon is offering mobile connectivity. Discover how retailers are prioritizing customer experience with cloud-based infrastructure with analytics and machine learning, powering GenAI to deliver personalized packages and rapid time-to-market.
The demand for electricity and water to power and cool AI servers is ever increasing. Researchers are developing innovative solutions to mitigate the environmental impact. Four promising techniques include model reuse, ReLora, MoE, and quantization. As AI becomes more prevalent, we need to proactively reduce energy and water usage to benefit clients and contribute to a sustainable future.
Discover the pivotal role of CPQ (Configure, Price, Quote) technology in advancing customer engagement within the telecommunications industry. This article examines how CPQ tools are not just enhancing sales processes but are also critical in personalizing customer interactions to improve satisfaction and loyalty in a highly competitive sector.
In a rapidly evolving business landscape, enterprises across different sectors are increasingly turning to customized connectivity solutions to address unique challenges. This article delves into how tailored IT strategies are essential in driving business performance amidst cybersecurity risks and sector-specific regulations.
Few industries have been as fast and far-reaching as financial services in their response to the opportunities of the digital economy. Legacy connectivity models, once the cornerstone of the financial sector, now present challenges regarding speed, cost, flexibility, and security. The cracks are beginning to show. This article examines the role of Closed User Groups and the strategic shift that could disrupt banking operations.
Data Scientists are already in short supply. One of the most promising areas to make Data Scientist more productive is Generative AI. However, while Generative AI will increase the productivity of Data Scientists, it will lead to an even more serve crunch in the Data Scientist supply.
The article discusses the growing trend of customers using OTT services such as WhatsApp, Signal, etc. for voice, video, and conference calls, which impacts traditional roaming revenues earned by telecom operators. Despite this challenge, the article explores how 5G and IoT are revitalizing roaming agreements, making them relevant for operators again. It explains the basics of roaming architecture, the role of roaming agreements in ensuring seamless 5G connectivity and interoperability, and their significance in meeting quality, reliability, and security requirements. The article also highlights the continued importance of roaming agreements for operators in the evolving digital era.
What did Insight Research conclude during its coverage of AI in the RAN in its report “AI and RAN – How fast will they run?
1. AI intersects the RAN at numerous angles – the principal end-applications for AI in RAN are traffic optimization, caching, coding and energy management.
2. The impact of AI on these applications is on technical, commercial and competitive fronts.
3. There are numerous AI, ML and DL algorithms that are being used to improve the above end-applications.
4. Thanks to the penchant of AI in dealing with complexity, each of these end-applications will enjoy high CAGRs.
5. AI has democratized the RAN vendor landscape
1. AI intersects the RAN at numerous angles – the principal end-applications for AI in RAN are traffic optimization, caching, coding and energy management.
2. The impact of AI on these applications is on technical, commercial and competitive fronts.
3. There are numerous AI, ML and DL algorithms that are being used to improve the above end-applications.
4. Thanks to the penchant of AI in dealing with complexity, each of these end-applications will enjoy high CAGRs.
5. AI has democratized the RAN vendor landscape
Combining Site Reliability Engineering (SRE) and DevOps methodologies enhances incident response strategies, ensuring systems are both robust and agile. This approach aids in minimizing downtime, streamlining processes, and securing customer trust by effectively managing and mitigating incidents with a focus on continuous improvement.
In the evolving landscape of technology, the fusion of cloud computing and DevOps represents a significant shift, emphasizing the need for stringent data privacy measures. As organizations navigate this integration, addressing data protection becomes paramount, involving challenges such as access controls, encryption, and vulnerability monitoring. This article delves into the complexities of safeguarding sensitive information amidst the dynamic synergy of cloud services and DevOps methodologies, offering insights on developing robust security frameworks to prioritize data privacy.
Explore how RPA revolutionizes FinTech with streamlined processes & improved efficiency. Dive into the future of financial automation now.
The evolving landscape of private 5G/LTE networks highlights a pivotal shift towards operational networks driven by autonomous operations. This transition promises enhanced flexibility, security, and support for dynamic operational needs, crucial for the growth and scalability of private cellular networks.
- 5G, AI, API, Automation, IoT
This article delves into the role of Generative AI (GenAI) within the telecom industry. It highlights GenAI’s capabilities in enhancing customer interactions, streamlining network operations, and fortifying security protocols.We uncover the extensive benefits and emerging applications of GenAI, underscoring its transformative potential in redefining telecom services and customer engagement.
The article delves into the intricate process of executing a private network Proof of Concept, emphasizing the transformative impact on industrial connectivity and the evolution from initial skepticism to rapid deployment and optimization.
WebRTC, developed by Google, is transforming IoT by offering secure, low-latency communication across devices without needing specialized plugins. Its adaptability across browsers and systems, coupled with its direct, peer-to-peer architecture, makes it a pivotal force in the IoT evolution.
MWC 2024 unveils AI innovations, shaping industries worldwide. Explore collaborative initiatives, ethical AI deployment and trends.
Drones equipped with intelligent software provide a faster, more convenient, cost-effective, and expansive approach to tackling real-world challenges. With GenAI at the helm, these drones possess an unprecedented level of adaptability and decision-making prowess. As we continue to push the boundaries of innovation, the era of intelligent drones promises to unlock limitless opportunities for exploration, discovery, and societal advancement.
Explore how Sweden leads in GNSS-independent solutions for secure, reliable national time services in 5G networks, featuring key players like PTS and Netnod
Explore the evolving world of 5G: The roles of SaaS, APIs, AI, and Cloud Platforms in shaping the future of private network management.
Explore how eSIM impacts global connectivity, offering flexibility, security, and eco-friendly solutions for telecom.
Explore the pivotal role of DSPs in 5G network security, addressing the challenges and strategies for a secure digital future in this comprehensive guide.
Explore how embedded vehicle data enhances fleet management with enhanced efficiency, AI integration, and improved safety standards.
AI means many things to many people. Under the radar however, AI is emerging as the change agent in the RAN marketplace. Through direct and indirect means, AI and ML technologies are injecting diversity into the RAN vendor landscape. AI is not new to RAN. What is new is the combination of AI and RAN-disaggregation initiatives such as Open RAN, SDN and NFV. Established leaders, companies with telecom pedigree, consulting majors and startups are some of the notable stakeholders looking to leverage AI in the RAN. As a consequence, there is a very real probability that cellular operators will have real choices in their RAN design and deployment endeavors.
Explore Top 10 Telco and Tech Podcasts for industry insights, trends, and perspectives from industry leaders.
