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Emirates 24/7
2 hours ago
- Emirates 24/7
THE GHOST OF NOKIA HAUNTS INTEL: CAN THE CHIP GIANT AVOID A SIMILAR FATE?
In a rapidly changing economic landscape, there is no room for stasis. Even technology giants are not immune to the harsh reality of change. Innovation is the only ticket to survival. But what happens when a behemoth like Intel stumbles? Is the company destined to repeat the tragic story of Nokia, the one-time king of mobile phones that collapsed almost overnight? At its peak, Nokia dominated the global mobile phone market, controlling half of it. However, its refusal to embrace the nascent Android operating system, its stubborn adherence to its own Symbian OS, and its later pivot to Windows Mobile revealed a pattern of inflexibility and a failure to adapt to fundamental market shifts. Between 2007 and 2013, Nokia lost almost everything. The company ignored the rise of touchscreen smartphones and underestimated the crucial role of third-party apps in attracting users. Despite being widely considered "too big to fail," Nokia's fall was spectacular. While the Nokia name still exists today through a limited number of Android-based devices, it has never recovered its former glory. It serves as a stark reminder that arrogance and stagnation can bring down any entity, no matter its size. Intel on a Perilous Path Intel's history is filled with success; for decades, it has been the bedrock of the processor industry. However, recent years have shown signs of decline. The company has suffered from a series of misguided technical decisions, such as the flawed Netburst architecture in its Pentium 4 processors, which was plagued by performance and overheating issues. This was followed by the failed Itanium project and the Larrabee graphics card initiative, which was shuttered before it ever saw the light of day. According to tech analyst Sydney Butler, Intel has not learned from its past failures. Instead, it has become overly cautious, trying to avoid mistakes by avoiding risk altogether. Butler considers this 'the greatest mistake' on its current trajectory. The Severest Blow Intel's failure to rapidly update its architectural structure led to Apple's strategic decision to develop its own ARM-based processors. With that move, Intel lost one of its most critical clients. Now, Intel faces the risk of losing its customers in the PC market as well. Microsoft has partnered with Qualcomm to produce ARM-based processors for laptops. If Qualcomm can improve its performance to rival Apple's chips, other PC manufacturers may abandon Intel. ARM processors are known for their lower power consumption and reduced heat generation, which minimizes the need for expensive cooling technologies. However, this transition would require extensive efforts from developers to re-engineer applications for the new architecture, moving away from the x86 architecture that Intel provides development kits for. Similarly, Windows itself would need to adopt Intel's new architectures as expected. A Leadership Crisis A new crisis has been added to Intel's woes: this time, a leadership one involving its new CEO, Lip-Bu Tan. In March, Tan took the helm, but he was soon accused of having ties to Chinese military-affiliated companies, a matter that has caused widespread concern among U.S. politicians. Republican Senator Tom Cotton sent a letter to Intel's board, alleging that Tan holds stakes in companies with Chinese military ties and accusing him of participating in a breach of U.S. export controls during his time leading Cadence Design Systems. This was followed by a direct call from President Donald Trump on his Truth Social platform for Tan's immediate dismissal. The company's stock subsequently dropped by 3% in a single day, despite a positive performance by other technology stocks. Is There Salvation? Between erratic technical decisions, a lack of innovation, client loss, and leadership crises, Intel stands at a critical crossroads. It must either reinvent itself and reclaim its leadership role in the processor sector or join Nokia in the ranks of fallen giants. The question is no longer whether Intel can fall, but whether it can survive the final blow. The tech world is unforgiving. It operates like a high-speed train, crushing anyone who fails to keep up. Will Intel manage to survive beneath its wheels?
Zawya
8 hours ago
- Zawya
Huawei named a leader in the Gartner Magic Quadrant for container management
Gartner released the Magic Quadrant for Container Management 2025, positioning Huawei in the Leaders quadrant. This recognition is attributed to Huawei Cloud's deep expertise and strategic investments in Cloud Native 2.0. Huawei Cloud has been at the forefront, launching several innovative container products like CCE Turbo, CCE Autopilot, Cloud Container Instance (CCI), and the distributed cloud-native service UCS. These products provide the optimal cloud-native infrastructure for managing large-scale, scalable containerized workloads across public clouds, distributed clouds, hybrid clouds, and edge environments. Huawei Cloud is an active open-source contributor and a leader in the cloud-native technology ecosystem. As a long-standing contributor to the Cloud Native Computing Foundation (CNCF), Huawei Cloud has participated in 82 CNCF projects, holds over 20 project maintainer seats, and is the only Chinese cloud provider holding a vice-chair position on the CNCF Technical Oversight Committee (TOC). Huawei Cloud has donated several projects to CNCF, including KubeEdge, Karmada, Volcano, and Kuasar, and contributed benchmark projects such as Kmesh, openGemini, and Sermant in 2024. Huawei Cloud offers the most comprehensive container product matrix in the industry, covering public cloud, distributed cloud, hybrid cloud, and edge scenarios. It has been extensively adopted in sectors like Internet, finance, manufacturing, transportation, electricity, and automotive, delivering pervasive cloud-native value. Furthermore, Huawei Cloud container services are actively deployed worldwide. The rapid growth of cloud-native compute power is widely acknowledged by global users and continually supports customers in achieving business success. Starzplay, an OTT platform in the Middle East and Central Asia, leveraged Huawei Cloud CCI to transition to a serverless architecture. This move enabled the platform to handle millions of access requests during the 2024 Cricket World Cup, while also reducing resource costs by 20%. Ninja Van, a leading logistics and express service provider in Singapore, has fully containerized its services using Huawei Cloud CCE. This cloud-native AI service architecture is both agile and efficient, ensuring zero service interruptions during peak hours and improving order processing efficiency by 40%. Chilquinta Energía, one of the three major power companies in Chile, has upgraded its big data platform to a cloud-native architecture using Huawei Cloud CCE Turbo. The new platform boasts a 90% improvement in average performance, propelling Chilquinta toward more intelligent and automated operations. Konga, Nigeria's leading comprehensive e-commerce platform, has fully transitioned to a cloud-native architecture based on CCE Turbo. This agile and flexible approach effectively ensured a smooth shopping experience for its millions of monthly active users. Meitu, a leading visual creation platform in China, leverages CCE and Ascend cloud services to efficiently manage AI computing resources. This supports the deployment and inference of various models and algorithms, ensuring rapid iteration of large-scale training and enabling 200 million monthly active users to share their life moments in real time. In the age of AI, Cloud Native 2.0 has been fully upgraded to incorporate intelligence. Huawei Cloud is building a next-generation AI-native cloud infrastructure powered by advanced AI technologies. In Cloud for AI, CCE AI clusters form the cloud-native infrastructure for CloudMatrix384 supernodes. These clusters offer large-scale supernode topology-aware scheduling, PD separation scaling, AI workload characteristic-aware auto-scaling, and ultra-fast container startups. These features significantly accelerate AI training and inference, enhancing the overall efficiency of AI tasks. AI is also revolutionizing the cloud service experience. Huawei Cloud is committed to integrating AI into its cloud offerings and has introduced CCE Doer. CCE Doer integrates AI agents throughout the container usage process, providing intelligent Q&A, recommendations, and diagnostics. It can diagnose over 200 critical exception scenarios with a root cause accuracy rate exceeding 80%, enabling automated and intelligent container cluster management. Cloud native is rapidly evolving toward serverless. Huawei Cloud offers two serverless container products: serverless Kubernetes cluster CCE Autopilot and serverless container instance CCI, which enable users to focus on application development and accelerate service innovation. The recently launched general-computing-lite and Kunpeng general-computing serverless containers enhance computing cost effectiveness by up to 40%, making them the ideal scaling solution for businesses dealing with tenfold increases in traffic. Huawei Cloud will continue to partner with global operators to advance cloud-native technology innovations and share its successes. This collaboration will drive unprecedented industry transformation, opening up new opportunities for a more inclusive, accessible, and resilient digital society. Source: Gartner, Magic Quadrant for Container Management 2025. Disclaimer: Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications contain the opinions of Gartner research and advisory organizations, and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER, MAGIC QUADRANT, and PEER INSIGHTS are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and are used herein with permission. All rights reserved.
Khaleej Times
9 hours ago
- Khaleej Times
Worried about AI effect on job? Microsoft report reveals 40 careers that use tech most, least
Artificial intelligence evolved from just a buzzword to a key tool in everyone's careers in the matter of a few years. Concerns have arisen as employees fear if AI will take over their jobs. However, experts have often reassured the public that technology will not replace those who learn to use it to increase efficiency at the workplace. A recently released research paper, conducted with the help of and approved by Microsoft, reveals 40 career roles with the most and least AI applicability score. What is AI applicability score? The study defines AI applicability score as the measure of "nontrivial AI usage that successfully completes activities corresponding to significant portions of an occupation's tasks." This essentially means that the more that AI is used to complete a significant part of a particular job's work responsibilities, the higher the score. In general, the occupations with highest AI applicability scores are knowledge work and communication focused occupations, according to the study. However, all occupational groups "have at least some potential for AI impact (unsurprisingly, with much narrower effects on occupations with large physical components)", according to the study published by Microsoft research on July 22. 40 jobs with most AI applicability These are the 40 roles identified with the highest AI applicability stores, which can translate into being the most impacted by technology. The jobs are arranged from high to low: Interpreters and Translators Historians Passenger Attendants Sales Representatives of Services Writers and Authors Customer Service Representatives CNC Tool Programmers Telephone Operators Ticket Agents and Travel Clerks Broadcast Announcers and Radio DJs Brokerage Clerks Farm and Home Management Educators Telemarketers Concierges Political Scientists News Analysts, Reporters, Journalists Mathematicians Technical Writers Proofreaders and Copy Markers Hosts and Hostesses Editors Business Teachers, Postsecondary Public Relations Specialists Demonstrators and Product Promoters Advertising Sales Agents New Accounts Clerks Statistical Assistants Counter and Rental Clerks Data Scientists Personal Financial Advisors Archivists Economics Teachers, Postsecondary Web Developers Management Analysts Geographers Models Market Research Analysts Public Safety Telecommunicators Switchboard Operators Library Science Teachers, Postsecondary 40 jobs with least AI applicability These are the 40 roles identified with the least AI applicability stores, which can translate into being the least impacted by technology. The jobs are again arranged from high to low: Phlebotomists Nursing Assistants Hazardous Materials Removal Workers Helpers–Painters, Plasterers Embalmers Plant and System Operators, All Other Oral and Maxillofacial Surgeons Automotive Glass Installers and Repairers Ship Engineers Tire Repairers and Changers Prosthodontists Helpers–Production Workers Highway Maintenance Workers Medical Equipment Preparers Packaging and Filling Machine Op. Machine Feeders and Offbearers Dishwashers Cement Masons and Concrete Finishers Supervisors of Firefighters Industrial Truck and Tractor Operators Ophthalmic Medical Technicians Massage Therapists Surgical Assistants Tire Builders Helpers–Roofers Gas Compressor and Gas Pumping Station Op. Roofers Roustabouts, Oil and Gas Maids and Housekeeping Cleaners Paving, Surfacing, and Tamping Equipment Logging Equipment Operators Motorboat Operators Orderlies Floor Sanders and Finishers Pile Driver Operators Rail-Track Laying and Maintenance Equip Foundry Mold and Coremakers Water Treatment Plant and System Op. Bridge and Lock Tenders Dredge Operators
