Professor Dr Azlinah Hj. Mohamed
Dean
Faculty of Computer and Mathematical Sciences
Universiti Teknologi MARA, Shah Alam

Title: Big Data Analytics: Getting the Right Match for the Best Fit
Matching Resources, Molding Analytics, Acquiring Significance

Abstract:

In this century, with the rapid emergence of digital devices, an unstoppable, extraordinary knowledge revolution has taken place in opening opportunities and creating innovative ways to harness and leverage on data. Reflecting on this backdrop, organizations that learn to mine data while utilizing powerful analytics for insights are in a great position to succeed.

As immense as data can become, and as abundant as big data opportunities and technologies are available, challenges still exist for both researchers and industry to specifically find the right analytics to tailor their needs. Currently, it seems nebulous as to how big data solutions available today could be used across many platforms considering that the variety, volume, velocity, and veracity of data in an organization are often unique to the organization. Hence in the sea of options, organizations need to match the right algorithms, platforms and tools in order to procure more meaningful and informed decisions.

There is a great need to investigate the capabilities of various tools and techniques in handling big data that involve pre-processing and attributes selection for data analytics. In this session, we present the mapping of data integration tools with data visualization, analytics and decision support tools for the researchers and industry to aid in conducting Big Data Analytics.

Biodata

Professor Dr Azlinah Hj. Mohamed is a Professor at the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Malaysia. She serves as the Dean of the faculty as well as being the Special Officer at the Academic Affairs and Development Office in Universiti Teknologi MARA. She received her MSc (Artificial Intelligence) from University of Bristol, UK and PhD (Decision Support Systems) from Universiti Kebangsaan Malaysia. Her recent research activities and numerous professional publications in international conferences and local journals focus on her interests in the Artificial Intelligence, Decision Support Systems and Soft Computing. She was also awarded with many competitive grants from ScienceFund, MOSTI and others on both academic and industrial projects for the industry, as well as for the government. Her research works includes the Information Professionals’ Competency Assessment Model and the Multi-Parametric Pectin Lyase-Like Protein Function Classifier which had won many awards. She is also an active member of the Malaysia Information Technology Society (MITS), Lembaga Akredetasi Negara, Malaysia and Artificial Intelligence Society.