About Digital Transformation
Digital Ecosystems for a Sustainable and Intelligent Future"
This year’s theme explores how emerging digital technologies—AI, IoT, blockchain, cloud computing, cybersecurity, and digital governance—can collaboratively shape sustainable, inclusive, and innovative ecosystems across industries and society.
ICDT 2025 brings together global leaders, researchers, practitioners, and industry experts to discuss cutting-edge developments and strategies in digital transformation. The conference aims to foster collaboration across academia, industry, and government sectors.
Scientific Sessions
Artificial Intelligence and Machine Learning in Business
This track explores the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in reshaping business landscapes. From automating workflows and enhancing decision-making to predicting market trends and personalizing customer experiences, AI and ML are at the core of next-generation enterprise strategies. Presentations and discussions will focus on real-world case studies, implementation challenges, ethical AI practices, and scalable solutions across industries such as finance, retail, manufacturing, logistics, and more. Emphasis will also be placed on responsible AI adoption, model transparency, and the evolving workforce dynamics in AI-integrated business environments.
Digital Health and Telemedicine
Digital health and telemedicine are revolutionizing how healthcare is delivered, accessed, and managed globally. This track will delve into the integration of technologies such as remote diagnostics, wearable health devices, AI-driven health analytics, and electronic health records to enhance patient outcomes and streamline healthcare delivery. Sessions will explore regulatory frameworks, digital therapeutics, virtual care platforms, and the role of health informatics in ensuring data-driven, patient-centric care. Special attention will be given to innovations enabling rural and underserved populations to receive quality ca
Tracks and Key Topics
- Artificial Intelligence and Machine Learning in Business : This track explores the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in reshaping business landscapes. From automating workflows and enhancing decision-making to predicting market trends and personalizing customer experiences, AI and ML are at the core of next-generation enterprise strategies. Presentations and discussions will focus on real-world case studies, implementation challenges, ethical AI practices, and scalable solutions across industries such as finance, retail, manufacturing, logistics, and more. Emphasis will also be placed on responsible AI adoption, model transparency, and the evolving workforce dynamics in AI-integrated business environments.
Organizing Committee Member
Speaker
Market Research
1. Artificial Intelligence and Machine Learning in Business
AI and ML are transforming business operations across industries. Edge AI, which processes data on devices like smartphones and IoT sensors, is expanding for real-time applications, reducing reliance on cloud computing. The edge AI market is projected to double in size by 2025, driven by advancements in 5G and device hardware.
In the enterprise sector, AI is enhancing customer experiences through hyper-personalized marketing and generative AI in customer engagement. By 2025, generative AI is anticipated to manage up to 70% of customer interactions, improving customer satisfaction by 30%.
However, challenges remain, including the need for AI governance and regulation. By 2025, regulatory bodies and companies are expected to spend over $6 billion on AI governance to ensure fairness and reduce bias, particularly in healthcare, law enforcement, and finance.
2. Digital Health and Telemedicine
The digital health and telemedicine market is experiencing rapid growth, projected to reach USD 285.7 billion by 2028, with a CAGR of 23.2%. This growth is driven by factors such as the rising need to expand healthcare access, the growing prevalence of chronic diseases, and advancements in telecommunications.
Emerging trends include hybrid care models that combine in-person visits with virtual consultations, remote patient mon