Businesses today are operating in an increasingly challenging and dynamic environment, which would require highly adaptive human resources (HR) in an effective learning organization. This has posed new challenges to the talent management function, especially with the proliferation of digital technologies such as IoT (Internet of Things) changing the connectivity between people using the many mobile devices and applications available. Human resource management (HRM) will need to adapt to the new world of digital technologies to provide an effective talent management function - recruitment, selection, learning and development (L&D), as well as career planning to retain and develop future leaders for the organization. Organizations today must learn to adopt the new IoT (digital technology) and Big Data application tools in order to utilise information effectively for timely and informed business decisions across the organization. This workshop will provide an overview and understanding of IoT and Big Data concepts as well as applications that gather information and provide insights for HRM, which in turn will lead to an improved and effective talent management process.
- Appreciate and understand Big Data applications with IoT concepts in HRM processes to improve productivity and effectiveness
Introduction & Overview of Big Data
The huge “volume” of data generated, with such tremendous “velocity” (speed of transactions), and “variety” (different types and formats), it poses massive challenges to store and organize these data for analysis – to provide information for efficient operations.
Peter Loh is an experienced professional in strategic management and MBCI (Market, Business & Competitive Intelligence) for over 20 years, spanning across several industries such as electronics, automotive, telecommunication, oil & gas industries. He has led many cross functional projects which produced valuable insights and critical information to drive strategic decisions.
Peter is now an Adjunct faculty member at Singapore Institute of Technology, having developed the Organization & Management module, and introducing the McKinsey 7-S concept as an analytical tool for organizational effectiveness. He has also conducted lectures at private education institutions such as Lithanhall Academy's Technopreneruship program. He formerly served as a mentor for the Edupreneur startup bootcamp, coaching professional students in developing business proposals and go-to-market plans, such as a Hindi Connect project to develop online learning content and tools, including mobile apps to be launched using a LMS platform.
Peter has an immense passion and interest in business and market development, constantly toying with ideation and is attempting to envisage a converged market, with varying business concepts and models. He is a firm believer of Big Data analysis, applying both quantitative as well as qualitative analysis (i.e. MBCI) to obtain valuable insights and intelligence for informed strategic decisions.
Peter led a Global Marketing Services (MBCI) research project for Shell's lubricant products - provided insights to agency's business models and operations mode, and recommended a "glocalisation" regional strategic sourcing strategy to the global category team.
Peter holds a Master's in Business Administration from Indiana University, and also an Advanced Certificate in Training and Assessment from the Singapore Workforce Development Agency.