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  • Revolutionizing Data Centers: The Rise of Autonomous Robots in Asia Pacific Operations

    Revolutionizing Data Centers: The Rise of Autonomous Robots in Asia Pacific Operations

    Data centers in the Asia Pacific region are undergoing a significant transformation as they move away from conventional staffing models, typically made up of engineers conducting nightly rounds, to environments that are increasingly autonomous where robots take on crucial operational duties.

    Immediate Advantages of Robotic Systems

    Robotic systems offer immediate benefits to data centers, including the swift identification of thermal hotspots and leaks, a reduced dependence on routine staff, improved visitor management, and accurate remote operation capabilities at edge sites.

    Catalysts for Robotic Adoption in Data Centers

    Three primary trends are fueling the ongoing increase in data center robotics integration. Firstly, advanced hardware such as LiDAR, thermal cameras, and compact robotic arms allow the machines to safely navigate the aisles and gather detailed data. Secondly, advancements in computer vision and edge AI convert video feeds into actionable alerts for problems such as overheating, flooding, or loose cables, helping to reduce false alarms. Lastly, potent local networks, like private 5G and reliable LANs, empower robots to swiftly transmit large data volumes to analytics platforms and remote operators.

    Fujitsu’s private 5G robot trial in Yokohama and NTT Data’s Ugo inspection robots in Tokyo are examples of how advanced networks and robotics can work in tandem to achieve real-time remote inspections. Similarly, SK Telecom demonstrated autonomous robot technology using its Telco Edge AI infrastructure, focusing on crucial technologies for data centers and delivery robots requiring high-precision positioning.

    The Ecosystem and Solution Landscape of Robotics Vendors

    Data Bridge Market Research’s recent studies for 2024 indicate that modular robotics is being increasingly adopted across significant Asian markets, particularly in China, Japan, India, and Southeast Asia. The global modular robotics market is projected to grow at a CAGR of 14.1% from 2025 to 2032.

    Rapid industrialization and the growing need for automation are compelling manufacturers to seek flexible, scalable solutions. In 2024, Asia was responsible for 74% of new factory robot deployments, in contrast to 16% in Europe and 9% in the Americas. This trend is being fueled by increased investment in sectors such as automotive, electronics, pharmaceuticals, and precision engineering as businesses strive to enhance output and reduce labor risks.

    Meanwhile, robotics-as-a-service (RaaS) models are assisting in overcoming steep initial costs. RaaS allows companies to rent modular robotic systems and modify usage as needed, thereby lowering the entry barrier and enabling smaller facilities and regional operators to benefit from automation. This shift is anticipated to expedite the adoption of modular robots across the Asia Pacific in the coming years.

    Limited Use of Robots in Data Centers

    Despite the apparent benefits, robots are not a blanket solution for data center efficiency. Practical hurdles continue to impede widespread deployment. These obstacles include integration challenges with legacy DCIM and building management systems, privacy and security concerns related to cameras and facial recognition, and economic factors for small colocation facilities where capital and integration costs may prolong payback periods unless robotics are offered through RaaS models.

    Questions & Answers

    Why are robots being increasingly integrated into data centers?
    Robots bring immediate benefits to data centers, including accelerated detection of thermal hotspots and leaks, lessened reliance on routine staff, enhanced visitor management, and precise remote operation capabilities.

    What are the primary trends driving the rise in data center robotics integration?
    Three key trends are fuelling this rise: better hardware, improvements in computer vision and edge AI, and strong local networks.

    What are the challenges to broader deployment of robots in data centers?
    Challenges include integration issues with legacy systems, privacy and security concerns around cameras and facial recognition, and economic factors, particularly for smaller facilities.

  • True Corporation Sets Telecom Milestone as Thailand’s First with Dual Autonomous Network Certifications

    True Corporation Sets Telecom Milestone as Thailand’s First with Dual Autonomous Network Certifications

    True Corporation, a leading telecom provider in Thailand, has elevated the standards of the nation’s telecommunications sector by securing two globally recognized certifications from TM Forum, an international consortium of technology and telecom firms. True Corporation has received Level 4.0 Autonomous Network (AN) validation for “Service Assurance for Individual Services” and “RAN Energy Efficiency Optimization.”

    Setting New Standards in Telecommunication

    This achievement of Level 4.0, the highest level accomplished by operators across the globe so far, makes True Corporation the sole operator in Thailand to make considerable strides in these two significant areas. This accomplishment highlights True Corporation’s commitment to designing an intelligent network that not only boosts customer experiences but also advocates for environmental sustainability.

    Khurrum Ashfaque, the Chief Network Officer of True Corporation, stated that achieving both Autonomous Network Level 4.0 certifications from TM Forum marked a substantial milestone for the company. It reflected their dedication to upgrading their network services to international standards while managing energy sustainably. He emphasized their focus on becoming a global-class intelligent network service provider and evolving towards an autonomous network capable of managing itself with supreme efficiency. This will be achieved by harnessing advanced artificial intelligence (AI) to deliver high-quality services to clients and continually support the growth of Thailand’s digital infrastructure.

    Validation of True Corporation’s Innovations

    TM Forum evaluated both of True Corporation’s projects and deemed them as comprehensive case studies with operator-grade capabilities. This confirmed that these projects, designed with a focus on service quality and customer experience, could be implemented by other service providers as well.

    AN Levels, as defined by TM Forum, are global standards used to gauge the automation capabilities of telecom networks. They cover diverse use cases, including radio access network (RAN) issue management and signal quality enhancement. The system is divided into five levels, going from Level 1 that requires manual human control, to Level 5, which represents a fully autonomous network operating independently of human intervention. To reach Level 4.0 requires the use of advanced AI for management and is a strategic target for leading telecom service providers worldwide.

    Two Significant Achievements

    True Corporation achieved AN Level 4.0 certification in the “Service Assurance for Individual Services” category, which recognized it as a highly autonomous network. This system was developed in collaboration with Ericsson and leverages AI to manage the network autonomously and efficiently under current conditions.

    Additionally, in the category of “RAN Energy Efficiency Optimization,” True Corporation has obtained AN Level 4.0 certification for a project that emphasizes comprehensive base-station energy management.

    Driving Towards a Sustainable Future

    These global achievements underscore True Corporation’s transformation into a leading telecom-tech company in Thailand with a focus on creating a green network. The company aims to reduce its greenhouse gas emissions by 42% by 2030 compared to 2020 levels and attain net-zero emissions by 2050, in line with SBTi standards.

    Questions & Answers

    What is the Autonomous Network Level 4.0 certification?
    The Autonomous Network Level 4.0 certification is a globally recognized validation by the TM Forum. It recognizes telecom networks that use advanced artificial intelligence for management, enhancing service quality and customer experience.

    What does achieving this certification mean for True Corporation?
    Attaining the Autonomous Network Level 4.0 certification highlights True Corporation’s dedication to upgrading network services to international standards and managing energy sustainably. It propels them closer to becoming a global-class intelligent network service provider.

    How is True Corporation contributing to environmental sustainability?
    True Corporation is focused on creating a green network. They aim to reduce their greenhouse gas emissions by 42% by 2030 compared to 2020 levels and strive to achieve net-zero emissions by 2050, in line with SBTi standards.

  • BMW’s New-Gen iDrive System To Provide Level 2 Autonomous Capability

    BMW’s New-Gen iDrive System To Provide Level 2 Autonomous Capability

    BMW has shown off its next-generation iDrive system, which is the software and hardware platform which comprises the infotainment system and in-car experience that has been prevalent since the dawn of the new millennium. Now, approaching its eighth generation, it has a new curved display that starts behind the steering wheel extending across the dashboard.

    BMW has basically merged the 12.3-inch instrument cluster with the 14.9-inch infotainment system — curved into a single unit facing the driver. Of course, not every vehicle will have the same screen size, but the panels will have the appearance of being “floating”.

    This new system will debut on the iX electric SUV as well as the i4 electric sedan. The big deal here is that the onboard computer will be able to process 20 to 30 times, more data than the previous models. This will enable greater synergy with the sensors that the cars will come equipped with enabling higher levels of autonomy.

    BMW’s chief technology officer Franker Weber himself describes the new iDrive as a major step towards fully autonomous technology — with support for level 2 and level 3 systems.

    “It is not an evolutionary step from what we had in the previous generation,” Weber said. “It’s an all-new, all-new system when it comes to sensors, computing, and the way it was developed,” he added.

    Level 2 systems include lane-keeping, blind-spot detection, automatic emergency braking, and adaptive cruise control. Level 3 autonomous driving involves more automation called conditional automation where the driver still has to be in a position to take over the control of the vehicle when requested. This feature is however is contingent on approval from local authorities.

    Weber hasn’t confirmed whether BMW will be providing access to level 3 automation however, he has hinted that level 3 testing is ramping up on the new version of iDrive.

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