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This five-day program equips non-technical professionals with the knowledge and foresight necessary to understand the potential of artificial intelligence (AI) and its impact on the future of work. By incorporating future studies methodologies, participants will gain a strategic perspective on how AI can be leveraged to enhance their work processes, improve decision-making, and prepare for the evolving workplace landscape. Through a blend of interactive lectures, engaging demonstrations, real-world case studies, and group discussions, this program will empower you to become a confident and informed advocate for AI within your organization.
• Apply core financial concepts to analyse a company's financial health and performance.
• Understand key financial statements (income statement, balance sheet, cash flow statement) and interpret financial ratios.
• Evaluate the impact of future trends on financial planning and forecasting.
• Make strategic decisions regarding capital budgeting, investment analysis, and cost management, considering future uncertainties.
• Develop and implement effective financial strategies to achieve long-term organizational goals.
• Assess and manage financial risks associated with a dynamic business environment.
• Communicate financial information effectively to various stakeholders.
• Utilize future studies methodologies to identify emerging trends and disruptions that may impact financial markets and the organization's financial performance.
• Professionals from any background seeking a foundational understanding of AI and its potential applications.
• Business leaders and managers interested in exploring how AI can transform their operations and improve efficiency.
• Marketing, sales, and customer service professionals looking to leverage AI for better customer engagement and personalization.
• Anyone curious about the future of work and how AI will impact their careers and skillsets.
• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment
Day 1: Demystifying Artificial Intelligence
• Welcome and program overview.
• What is AI? An introductory session exploring the history, core concepts, and different types of AI, including machine learning and deep learning.
• AI in Action: Interactive demonstrations showcasing real-world applications of AI across various industries, such as image recognition, fraud detection, and personalized recommendations.
• The Ethics of AI: Discussing the ethical considerations surrounding AI development and deployment, focusing on bias, fairness, transparency, and responsible AI practices.
Day 2: The Future of Work & AI
• The Impact of AI on Jobs: Exploring the potential impact of AI on job displacement and the transformation of work roles across different sectors.
• Future Studies for AI Readiness: Learning how to incorporate future studies methodologies like scenario planning and horizon scanning to identify potential disruptions and opportunities related to AI in the workplace.
• Developing an AI-Ready Skillset: Identifying the skills and competencies that will be most valuable in an AI-powered future, including critical thinking, problem-solving, creativity, and data literacy.
• Case Study: analysing a real-world example of an organization that successfully adopted AI to enhance their workforce capabilities and prepare for the future of work.
Day 3: Leveraging AI for Business Advantage
• Integrating AI into Your Work Process: Learning practical strategies for identifying tasks and processes within your role that can be improved or automated with AI.
• AI for Different Business Functions: Exploring how AI can be leveraged across various business functions, such as:
o Marketing: Personalization, targeted advertising, and customer segmentation.
o Sales: Lead generation, qualification, and customer relationship management.
o Customer service: Chatbots, virtual assistants, and sentiment analysis for improved customer experience.
o Human resources: Recruitment screening, candidate assessment, and employee onboarding.
• Guest Speaker: An AI expert or a business leader who has successfully implemented AI solutions can be invited to share their insights and answer participant questions.
Day 4: Data for AI & The Future of Data
• Understanding Big Data & Data Analytics: Learning the basics of big data and data analytics, which are crucial for powering AI applications.
• Data Security Considerations for AI: Exploring the importance of data security and privacy when using AI, focusing on data protection regulations and responsible data management practices.
• The Future of Data & AI: Discussing trends in data generation, storage, and analysis, and how these will impact the future development and application of AI.
• Hands-on Data Exploration Workshop: Participants will get introductory experience with data exploration tools to understand how data is used to train and inform AI models.