AI in Business Analytics: Turning Data into Strategic Decisions

Dr. Mohammed Al-Obaydee is a distinguished trainer, academic, and industry expert with a robust background in computer science and engineering. Born on June 6, 1981, he holds Iraqi nationality and is proficient in Arabic, English, and Malay. Dr. Mohammed Al-Obaydee's academic journey began with a Bachelor’s degree in Electrical and Electronic Engineering from the University of Technology in 2004, followed by a Master’s degree in Computer Science from High Academia for Science and Human Science in 2007. He earned his Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) in 2016. Dr. Mohammed Al-Obaydee has been actively involved in academia as an Adjunct Associate Professor at Taylor’s University Lakeside Campus since August 2022, where he supervises master students and lectures on subjects such as Machine Learning, Parallel Computing, Data Analytics, and Data Engineering. His previous teaching roles include positions at KICT/IIUM and Philadelphia University Jordan, where he taught advanced topics like Advanced Data Structure with C++ and Program Analysis Techniques. In addition to his academic endeavors, Dr. Mohammed Al-Obaydee is a seasoned professional trainer certified by HRD Corp. He has delivered numerous training sessions on Data Science and Analytics as well as Applied AI Engineering at institutions like Brickfields Asia College/Veritas University College since September 2020. His expertise extends to industry projects such as building customer segmentation models for Amway Malaysia and providing training consultations for major corporations like OCBC Bank, HSBC Bank, Hitech Padu, EtiQa, and DELL Malaysia. Dr. Mohammed Al-Obaydee is also an accomplished researcher with several publications to his name, including award-winning papers presented at international conferences like ACSAT2014 and ITNG 2023. His research interests focus on machine vision inspection using combined global and local features, MRI medical image classification using deep learning techniques, and information overload effects. As the founder of INNOEYETIVE and AIC4ALL, Dr. Mohammed Al-Obaydee leverages AI and immersive technologies to enhance digital marketing strategies and educational experiences globally. His leadership roles extend to being the Head of IT and Marketing Department at Yallelite LTD in the UK since May 2019 and leading the Multimedia Department at Al-Wariseen Trust in Malaysia since July 2009. With over two decades of experience spanning academia, industry training, research supervision, and entrepreneurial ventures, Dr. Mohammed Al-Obaydee continues to make significant contributions to the fields of data science, artificial intelligence, machine learning, big data analytics, and immersive technology.

Ts. Koong Wah Yan (Wayne) is a distinguished Technology Executive and AI Transformation Specialist with over two decades of pioneering experience in digital innovation across FinTech, AdTech, and Public Sectors. As a visionary leader, Wayne combines deep technical expertise in artificial intelligence, data science, and enterprise architecture with proven leadership capabilities in delivering mission-critical systems and building high-performing technical teams. Wayne's extensive industrial profile showcases his progressive leadership journey, having served as Head of R&D at Innity Bhd, CIO and Software Development Manager at Wiseyes Group, Head of IT Operations at SOCSO, Data Migration Lead at MIMOS, and CRM Architect for prestigious organizations including IBM, MBB, and CIMB. His academic credentials include a Master of Business Administration from University of South Australia and a Bachelor of Information Technology from Universiti Kebangsaan Malaysia, complemented by specialized certifications in Data Science from HarvardX, ISO27001 Lead Implementer, and ITIL Foundation. As a certified trainer, Wayne has demonstrated exceptional capability in knowledge transfer and skill development. He has successfully delivered comprehensive Machine Learning workshops to 25 engineers, resulting in 3 new ML implementations within 6 months, and conducted over 20 GenAI knowledge sharing sessions, upskilling more than 300 professionals in practical GenAI applications. His training methodology emphasizes interactive learning, practical application, and business context, consistently achieving 90%+ participant satisfaction rates with measurable business impact. Wayne's training expertise spans critical domains including Digital Transformation with AI, GenAI, ML & Data Science, specialized tools like Metabase, Google LookerStudio, SQL, and BotPress, as well as Customer Centricity Solutions. His unique blend of technical mastery and strategic leadership enables him to effectively train both technical teams and executives, making complex technology concepts accessible and actionable for diverse audiences across all organizational levels.'