APAC CIOOutlook : News

In conversations about recent technological advancements, it's essential to highlight the impact of IoT and AI. The technologies have significantly shaped various aspects of our daily lives. The integration of IoT with AI holds the potential to create applications that enhance convenience in our routines. As the technologies evolve, they promise to streamline processes and improve efficiency, making our interactions with technology more seamless and intuitive. The future lies in how effectively these innovations can be harnessed. A fine illustration of this blend would probably be a smartwatch which comprehends body fluctuations such as variations in the heartbeat and pulse and notifies the concerned. A recent article published by 'Wired' stated that IoT will be significantly AI-driven in the years to come. Myriad electronic devices embedded with sensors would pave the way for a data deluge overwhelmingly large to retrieve the right information or draw inferences from. Application of AI techniques such as machine learning would help in the derivation of patterns from large data volumes that could help in better decision making. A music platform which offers several hundred thousand tracks is another instance that would help in better understanding the application of AI to derive useful data patterns. A display of suggested playlists which might suit the tastes of the user, based on the track currently playing not just makes the channel user-friendly but also betters brand perception. Industry veterans predict an upswing in futuristic technological innovations that leverage AI and IoT, considering the rapid evolution of both the technologies. ...Read more

The Asia-Pacific (APAC) region is rapidly emerging as a global artificial intelligence (AI) research and development hub. Increasing investments, supportive government policies, and a wealth of talent fuel this growth. At the heart of this AI revolution lies the crucial role of High-Performance Computing (HPC) in enabling the training of massive deep learning models with unprecedented efficiency. HPC As The Key to Efficient Large-Scale Training HPC systems leverage parallel processing, high-speed interconnects, scalable architectures, and specialized hardware to significantly reduce the training time of complex models. These systems comprise thousands of interconnected CPUs and GPUs, enabling large-scale simultaneous computations. High-bandwidth, low-latency networking ensures efficient data transfer across nodes, further optimizing performance. Designed for scalability, HPC systems allow researchers to harness increasing computational resources as needed. Integrating GPUs and TPUs has transformed deep learning training workflows, delivering substantially higher throughput and accelerating innovation. Latest Trends and Developments in APAC The region is making significant strides in leveraging HPC for AI model training. Countries like Australia, Singapore, Japan, and China have established national supercomputing centers, providing researchers and institutions with cutting-edge computational resources. Universities and research organizations actively utilize these HPC infrastructures to train large-scale AI models. Adoption within the private sector is accelerating, as established technology companies and startups integrate HPC into their AI development workflows across diverse applications. Cloud-based HPC platforms are also playing a crucial role in democratizing access to high-end computing capabilities, allowing wider participation in AI innovation. Tassta is at the forefront of these efforts, driving advancements by incorporating scalable HPC systems into their AI applications. Energy efficiency has emerged as a key priority in HPC deployments, driving efforts to optimize performance and sustainability. In parallel, AI technologies are increasingly being integrated into HPC systems, enhancing operational efficiency and resource management. Memberson specializes in cloud-based HPC solutions that enhance AI-driven workflows, facilitating broader innovation across industries from tech to research. HPC is pivotal in advancing AI research across APAC. Applications span various domains, including natural language processing, climate modeling, drug discovery, and computer vision. In Singapore, researchers are leveraging the supercomputing capabilities of the National Supercomputing Centre (NSCC) to train multilingual language models tailored for Southeast Asian languages. Meanwhile, in Australia, the National Computational Infrastructure (NCI) is utilizing HPC resources to analyze extensive climate datasets, supporting the development of more accurate weather prediction models. HPC is no longer just an enabler but a fundamental pillar for advancing large-scale deep learning in the APAC region. The increasing availability of powerful HPC resources and growing expertise and collaboration drive significant AI research and applications breakthroughs. As model sizes and data volumes expand, the symbiotic relationship between HPC and AI will only become more critical, shaping the future of technological innovation in APAC and beyond. The region's commitment to investing in and fostering talent in both HPC and AI positions it as a key player in the global race to unlock the full potential of AI. ...Read more

The world is getting digitalized and so is every asset in it. Internet of Things (IoT) has helped the world evolve digitally and has certainly modernized healthcare. With healthcare being one of the most prioritized aspects of the global stage, it is quintessential to manage this industry with ease and versatility.  The evolution of digital data records has revolutionized the field of storing medical data that has aided the healthcare industry in many ways.  The digitalization of health care involves maintenance of EHRs (Electronic Health Records) which are generally stored in digital platforms, data centers and servers of the health care centers. These records aim at providing timely access to information to accelerate the fast recovery of patients. However, these records are vulnerable to breaches. According to a recent survey, about 72 percent of the employees are willing to share these confidential data tracks and many do not even know that this may cause security risks. It is advised to keep this data classified. Attackers often find ways to break through basic security protocols and cause an average annual loss of 6.2 billion dollars. To address this predicament, blockchains are implemented. Blockchains store data in the form of blocks and stack them one over the other cryptographically. This encrypts the data and keeps EHRs safe.  When blockchains are put to use, data is retained in the decentralized network of nodes and encrypted using AES256-GCM with a 256-bit key for every 128-bit block of data. The decentralized nature of the blockchain ensures data integrity as there is no single point of failure. A shared system is employed to store data, which lets the associated stakeholders access information smoothly and without any forced digital blockage. More research is being done to prevent EHRs from being breached. With a more reliable and secure way of storing data, it is only a matter of time before EHRs become absolutely impregnable.  ...Read more