Data Science in general combines statistics, computer science along with domain knowledge to extract meaningful insights from data. It involves collecting, cleaning, analyzing, and interpreting large volumes of structured and unstructured data to support decision-making and solve real-world problems. Specific techniques like machine learning, data visualization, predictive analytics as well as artificial intelligence can be implemented to identify patterns and trends. In the present situation, it plays a vital role particularly in healthcare, finance, education, marketing, and technology, helping organizations improve efficiency, predict outcomes, and make data-driven decisions. Accordingly, as the amount of digital data continues to grow rapidly, data science in the present scenario is one of the most important and in-demand fields in the modern world. Similarly, data management ensures the accuracy, accessibility, and security of data. It also has the major role in modern organizations, as large amounts of information are generated every day through business operations, research, communication, and digital transactions. So, effective data management can help organizations make informed decisions, improve efficiency, and maintain compliance with legal and ethical standards. Read More
Paper Submission Opens - 01-July -2026
Paper Submission Closes - 30-September-2026
Authors Notification - 10-October-2026
Final Manuscript Submission - 05-Nov-2026
Registration Deadline - 11-Nov-2026
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
UTeM, Malaysia, Organized by GIET Baniatangi and UTeM Malaysia