GenAI for Product Management: Master AI-Driven Product Strategy

Salam Khan is a seasoned technology professional and corporate trainer with over 20 years of hands-on experience spanning agile delivery, data management, product development, and business strategy. As both a practitioner and educator, Salam brings a unique perspective to training—one rooted in real-world application across startups, enterprise environments, and global organizations throughout Australia, the Middle East, and Southeast Asia. Throughout his distinguished career, Salam has partnered with leading organizations including Emirates Airlines, PWC Academy UAE, Sepang Circuit Malaysia, Myer, NAB, ANZ, Kind Corner, and 9T5. His training programs are characterized by their practical focus, engaging delivery style, and emphasis on immediately applicable outcomes. Whether facilitating large-scale agile transformations, upskilling product teams, or developing the capabilities of business analysts and technical writers, Salam designs learning experiences that are accessible, relevant, and results-driven. Salam's expertise is backed by an impressive array of industry certifications that demonstrate his commitment to professional excellence. He holds the Certified Data Management Professional (CDMP) credential, positioning him as an authority in data governance and strategy. His agile credentials include SAFe Program Consultant (SPC), Professional Scrum Master (PSM), Professional Scrum Product Owner (PSPO), and Professional Agile Leadership (PAL-E) certifications, reflecting deep knowledge across the full spectrum of agile methodologies and scaled frameworks. Additionally, his foundation in Data & AI DSPM Fundamentals ensures he remains current with emerging technologies and data privacy considerations. What sets Salam apart as a trainer is his practitioner-first approach. He doesn't just teach theory—he shares insights gained from working in the trenches, solving real problems, and leading diverse teams across multiple continents. His training style is grounded, practical, and focused on equipping participants with skills they can apply immediately in their roles. With a Bachelor of Science in Computer Science providing his technical foundation, Salam seamlessly bridges the gap between technology, business strategy, and human capability development, making him an invaluable resource for organizations seeking to build high-performing, agile-enabled teams.

Dr. Mohammed Al-Obaydee is a distinguished academic and industry professional with extensive expertise in artificial intelligence, machine learning, deep learning, and data science. As an Adjunct Associate Professor at Taylor's University Malaysia and a certified Train the Trainer professional, he brings a unique blend of academic rigor and practical industry experience to his teaching and consulting engagements. With a Ph.D. in Information Science from Universiti Kebangsaan Malaysia (UKM) and over two decades of experience spanning academia and industry, Dr. Al-Obaydee has established himself as a leading authority in advanced computing technologies. His research excellence is evidenced by multiple best paper awards, including recognition at IEEE ACSAT2014 and ITNG 2023 conferences, along with an impressive publication record featuring over 149 citations and an h-index of 6. His research focuses on medical image analysis, computer vision, machine learning applications, and deep learning techniques. As a founder of INNOEYETIVE and AIC4ALL, Dr. Al-Obaydee demonstrates entrepreneurial acumen in leveraging AI and immersive technologies for digital transformation. His industry experience includes successful training and consultation projects with major corporations such as HSBC Bank, OCBC Bank, DELL Malaysia, Amway Malaysia, and EtiQa, where he has delivered specialized programs in data science, analytics, and applied AI engineering. His ability to bridge the gap between theoretical concepts and practical applications makes him an exceptional trainer for professionals seeking to upskill in emerging technologies. Dr. Al-Obaydee's teaching portfolio encompasses a comprehensive range of subjects including Machine Learning, Deep Learning, Data Analytics, Data Engineering, Parallel Computing, and Advanced Data Structures. He has supervised numerous master's students and research projects at both Taylor's University and the International Islamic University Malaysia (IIUM), focusing on cutting-edge topics such as deep reinforcement learning, medical image classification, fraud detection, and natural language processing. His international speaking engagements and extensive training experience across multiple organizations demonstrate his exceptional communication skills and ability to make complex technical concepts accessible to diverse audiences.