Artificial Intelligence (AI) is a game changer in the world of work. It is being used to solve complex real world problems. Self-driving cars, industrial robots, face recognition, language translation and even customer service are some of the areas in which AI is now employed and it is improving fast. It is expected that the workplace and therefore by extent the workforce will greatly change in the next two decades, with a variety of tasks that are now being undertaken by the workforce changing to artificial intelligence. Intelligent computer systems and data analytics are fueling this further as the world moves to the 4th industrial revolution. Never before have digital tools been so responsive to us. Ai will radically alter how work gets done and who does it. Achieving significant performance improvements will require building infrastructure that make humans and machines work together to take advantage of collaborative intelligence among the workforce and the advantage of speed, scalability and quantitative capabilities of the artificial intelligence. How prepared is your organization for ai revolution? This course is designed to offer insights on priorities that organizations should focus on as the AI revolution takes shape, and what organizational leadership must do to prepare both the workforce and the ecosystems in which organizations work.
WHO SHOULD ATTEND
This course targets senior level managers in government ministries and other public institutions. Those managing intellectual capital (Human capital managers) and those working in information technology (IT) departments will particularly benefit from this course. Those in charge of corporate planning will also find the course useful.
HOW PATICIPANTS WILL BENEFIT
At the end of the course, participants will be able to:
• Describe the theory behind ai;
• Optimize business processes using ai;
• Build an ai environment in theory work settings;
• Describe the features of AI models;
• Apply ai to solve some of the most pressing problems at the workplace.
• Overview of artificial intelligence;
• Machine learning;
• Building intelligent agents at the workplace;
• Applications of AI;
• Impact of AI on future workforce;
• Redefining workplace;
• Neuro linguistic programming (NLP).