This International Conference Will Hybrid Mode [ 11 December Physical Mode || 12 – 13 December Digital Mode ]
This new conference has emerged as recommendation from the two different versions of conference (ISBM – Information Systems and Business Management and ICT4SD – Information and Communication Technologies for Sustainable Development). This edition of the MCT4SD (International Conference on Machine and Computing Technologies for Sustainable Development) will be organized in Manila, Philippines during 11 – 13 December 2025. Machine and computing technologies are essential drivers of digital transformation, enabling businesses to innovate, automate, and create new customer experiences. Key technologies include cloud computing, artificial intelligence (AI), machine learning, Internet of Things (IoT), blockchain, and big data analytics. These technologies allow for processing vast amounts of data, automating processes, and creating new products and services. By leveraging these technologies, businesses can transform their operations, improve efficiency, enhance customer experiences, and create new revenue streams. Digital transformation is not just about adopting new technologies, but also about changing the way businesses think and operate. The Four Pillars of Successful Digital Transformation: Tech, Process, People, and Skills. The road to successful digital transformation is paved with four essential pillars: technology, process, people, and skills.
Companies that want to make a difference in digital transformation processes must base their strategy on three key pillars: technological knowledge, rapid adoption of skills and change in organisational capabilities.
Academic research explores how machine learning (ML), artificial intelligence (AI), and other computing technologies are driving digital transformation across various sectors. This research focuses on the impacts of these technologies on business models, customer experiences, and overall operational efficiency. Key areas include the use of AI and ML for data analysis, automation, and personalized customer experiences.
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