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DTSTART;VALUE=DATE:20260921
DTEND;VALUE=DATE:20260922
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SUMMARY:AI For Leaders: Leveraging Data Analytics for Business - NUS Business School
DESCRIPTION:Start Date: 21 Sep 2026\nDuration: 5 days\nLocation: Mochtar Riady Building\, Lvl 5\, 15 Kent Ridge Dr\, Singapore 119245\nContact:  fallon.han@nus.edu.sg\nRead more here!\nApply here!\nFees:\nSGD 6\,529.10 (incl. GST)\nSGD 760.73 (after MAX funding*)\n\n\nHarness the potential of Big Data\, Machine Learning and AI Capabilities.\nIn today’s data-driven business environment\, leveraging data analytics and Artificial Intelligence (AI) is critical to gaining a competitive advantage. As a leader\, you need to understand the potential of these technologies and also have the skills and knowledge to integrate them into your organisation’s culture and operations. \nThis five-day programme is designed to equip you with the tools and expertise needed to transform your organisation into a data-driven enterprise. Through interactive lectures\, case studies\, and discussions\, you will learn how to leverage big data analytics\, machine learning and AI capabilities to drive better decision-making and fuel innovation. \nYou will explore various applications of AI and analytics in business\, from data visualisation to predictive modelling\, and learn how to integrate these technologies into your organisation’s operations. You will also gain insights into the latest trends and best practices in data analytics and AI\, and learn how to effectively communicate the benefits of these technologies to stakeholders at all levels of your organisation. \nBy the end of the programme\, you will have the confidence and expertise to lead your organisation’s data transformation efforts and drive better business outcomes. This programme is essential for anyone seeking to unlock the full potential of AI and data analytics in their organisation. \nGo to top
URL:https://www.europeanbusinessreview.com/event/ai-for-leaders-leveraging-data-analytics-for-business-nus-business-school/
LOCATION:Mochtar Riady Building\, Lvl 5\, 15 Kent Ridge Dr\, Singapore 119245
CATEGORIES:Business Events
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ORGANIZER;CN="NUS":MAILTO:emba@nus.edu.sg
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DTSTART;VALUE=DATE:20261012
DTEND;VALUE=DATE:20261013
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SUMMARY:AI For Talent Management and Organizational Design (Classroom & Synchronous E-Learning) - NUS Business School
DESCRIPTION:Start Date: 12 Oct 2026\nDuration: 8 sessions (over 5 weeks)\nLocation: NUS Business School and Live Online (Blended)\nContact:  shc_wong@nus.edu.sg\nRead more here!\nApply here!\nFees:\nSGD 5\,886.00 (incl. GST)\nSGD 685.80 (after MAX Funding)\n\n\nThis program equips HR leaders and people managers with the practical knowledge and tools to apply AI for talent management and to shape organisational structure. The programme begins with clear\, non-technical grounding in AI and machine learning for executives and rapidly moves to applied topics: identifying high impact AI use cases for talent management and organisational strategy\, hands on introductions to R and/or Python\, and workshops that surface use cases you can pilot in your organisation. \nParticipants will also explore generative AI tools for HR tasks and practice translating people data into actionable insights through project work and staged assessments. Equally important is the course focus on governance and people implications: sessions on ethical and privacy considerations\, AI driven leadership and decision making\, and case discussions such as “Trusting the AI vs. Your Gut”. \nBy the end of the programme you will have developed a project plan\, presented mid project and final deliverables\, and gained a practical framework to design pilots that improve prediction\, personalise development\, and inform data driven organisational design. \nGo to top
URL:https://www.europeanbusinessreview.com/event/ai-for-talent-management-and-organizational-design-classroom-synchronous-e-learning-nus-business-school/
LOCATION:NUS Business School and Live Online (Blended)
CATEGORIES:Upcoming EMBA and Executive Education Programmes
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ORGANIZER;CN="NUS":MAILTO:emba@nus.edu.sg
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