The “AI-Data Science & Women Leadership” programme aims to empower Indonesian women with AI and data science skills, enhance their employability and leadership, foster digital literacy and promote technological advancements.
The critical need to balance cutting-edge AI technologies with robust data governance frameworks is underscored by Singapore’s proactive measures to ensure responsible AI development amidst evolving challenges in data privacy and innovation
Singapore has implemented pioneering innovations in data centre efficiency, including liquid cooling and the world’s first Tropical Data Centre standard, to sustainably manage its digital economy while setting new global benchmarks
A strategic collaboration launches a hyper-connected, sustainable AI-ready data centre campus in Johor, aiming to enhance digital infrastructure and connectivity for hyperscalers and enterprises in Southeast Asia.
Project Viridis, developed by the BIS Innovation Hub and MAS, integrates regulatory and climate data using advanced technology to equip financial authorities with critical insights for managing climate-related financial risks
NTU’s data-driven study reveals the staggering toll of PM2.5 pollution on global health, emphasising the urgent need for targeted interventions and policy considerations amid climate variability.
The pioneering platform represents Vietnam’s first comprehensive solution for businesses to comply with personal data protection regulations, streamlining compliance efforts and bolstering data security in the face of increasing cybersecurity threats.
Singapore is committed to AI-driven innovation and sustainable data centre growth, emphasising the nation’s strategic investments and collaborative efforts to balance technological advancement with environmental responsibility.
ITB’s training focused on enhancing data quality and integrating digital tech to improve data management and public service efficiency, covering topics like data quality, socialising the ITB Data Centre API and creating a unified and accessible data system.
DAO’s Open DAGIR interoperable, multi-vendor ecosystem aims to advance the Department of Defence’s data, analytics and AI capabilities, promoting innovation and operational efficiency while preserving government data ownership.
IIT Jodhpur’s research utilises advanced aerosol mass spectrometry and data analytics to reveal that addressing local inefficient combustion processes is crucial for mitigating the severe health impacts of air pollution in Northern India.
NIST finalises updated guidelines, providing clearer standards and assessment procedures for safeguarding controlled unclassified information crucial to those working with the federal government.
Swinburne University of Technology leads a collaborative effort to develop MChart, a groundbreaking business intelligence tool utilising data analytics to revolutionise mental health service planning in the Australian Capital Territory.
MIT Lincoln Laboratory’s TorNet dataset, comprising radar images of thousands of tornadoes, offers a platform for advancing tornado detection through machine learning, enhancing accuracy, reducing false alarms, and fostering global collaboration in meteorology.
Malaysia is advancing its digital economy through policy considerations and discussions with industry leaders, aiming to prioritise AI infrastructure development and data security while fostering innovation and sustainable growth.
The country is bolstering its legal framework and raising public awareness to safeguard personal data and counter the rising threat of phishing attacks, particularly through APK files, as part of efforts to enhance cybersecurity resilience.
Integrating real-time, Gen AI-driven, collaborative, and actionable data and analytics represents an innovative approach to information processing and decision-making.
The inauguration of the ‘Data Collaboration Lab’ marks a pioneering initiative aimed at facilitating access to clinical data for research, driving innovation, and fostering scientific advancement in Hong Kong.
MIT has collaborated with UCL to develop software Umwelt, which allows blind and low-vision users to create interactive, accessible charts and data representations, enhancing accessibility and inclusivity in data analysis.
Vietnam’s data centre market is poised for substantial growth, projected to reach US$1.26 billion by 2030, driven by increasing demand for digital services, supportive government policies and plans for significant expansion.
The country’s data centre market experiences exponential growth, driven by factors like digitalisation efforts, a tech-savvy youth population and rising demand for digital infrastructure, presenting opportunities for investors.
Open data’s crucial role in advancing sustainable governance was highlighted, emphasising its power in promoting transparency, efficiency, and collaboration for informed decision-making and inclusive development.
DataCebo harnesses the power of generative AI to pioneer synthetic data solutions, revolutionising data creation across industries and ensuring transparent and responsible adoption of AI and data science tools
The transformative Data Law and a proposal for a centralised national data centre aim to mend fragmented data infrastructure, establish streamlined management and foster a cohesive digital ecosystem for the nation’s future.
The Big Data Institute will push economic and societal growth through big data and AI, aiming to drive Thailand towards a more competitive digital economy, enhancing efficiency, innovation, and quality of life.
The Department of Agriculture will upgrade its database of farmers and fisherfolk to enhance project monitoring and market access. With 16,000 personnel deployed nationwide, the initiative aims to optimise resource allocation.
Stitch3D, a cloud-based platform, addresses the challenges of sharing, analysing and viewing 3D files by providing a suite of robust collaboration tools and advanced visualisation capabilities, revolutionising 3D data management and accessibility across various industries.
The 2030 Data Strategy aims to digitise administrative procedures, boost job creation, preserve cultural heritage and drive economic growth through comprehensive data infrastructure and innovative initiatives.
NUS statisticians have developed a new method using deep learning to accurately estimate low-dimensional structures within complex data, revolutionising data analysis with potential applications in RNA sequencing and biodata analysis.
© 2024 OpenGov Asia – CIO Network Pte Ltd.
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