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Descriptive Analytics: How organizations use historical data to gain insights into past performance. Topics include data visualization, dashboards, and reporting.
Predictive Analytics: Explore techniques for forecasting future trends. Cover regression analysis, time series forecasting, and machine learning models.
Prescriptive Analytics: Address optimization and decision-making. Explain linear programming, simulation, and recommendation systems.
▪ Emphasise the importance of data-driven decision-making in business.
▪ Discuss how executives can leverage data to make informed choices and drive organizational success.
▪ Explore challenges and opportunities related to managing large volumes of data.
▪ Discuss data governance, data quality, and data privacy.
Introduction to AI: The basics of AI, including machine learning, natural language processing, and computer vision.
Applications of AI: Use cases in marketing, finance, supply chain, and customer service.
Ethical Considerations: Address biases, transparency, and responsible AI deployment.
▪ How AI and analytics drive digital transformation.
▪ Success stories of companies that transformed their business models using data and AI.
▪ Practical examples of how analytics and AI impacted their organizations.
▪ Highlight ROI, cost savings, and improved decision-making.
▪ Personalized marketing, recommendation engines, and chatbots.
▪ How AI enhances customer engagement and loyalty.
▪ Inventory optimization, demand forecasting, and logistics.
▪ How AI streamlines supply chain processes.
▪ Algorithmic trading, credit scoring, and fraud detection.
▪ Risk assessment and regulatory compliance.AI and Organizational Culture
▪ Fostering an AI-friendly culture within the organization.
▪ Experiences in implementing AI initiatives.
▪ Effective leadership styles, decision-making processes, and strategies for organizational success.
▪ Case studies of successful leaders and their approaches to managing teams and
organizations.
▪ How companies foster innovation, adapt to change, and stay competitive.
▪ Disruptive technologies, digital transformation, and organizational agility.
▪ Ethical business practices, sustainability, and social impact.
▪ CSR initiatives, stakeholder engagement, and environmental responsibility.
▪ Financial planning, risk management, and investment decisions.
▪ Financial metrics, valuation techniques, and capital allocation.
▪ Marketing strategies, customer segmentation, and brand building.
▪ Digital marketing, social media, and consumer behavior.
▪ Recruitment, employee development, and retention.
▪ Insights on organizational culture, diversity, and inclusion.
▪ Supply chain optimization, logistics, and inventory management.
▪ lean principles, process improvement, and supply chain resilience.
▪ Startup Experience Sharing.
▪ Challenges of entrepreneurship, risk-taking, scaling, and innovation in entrepreneurial ventures.
▪ Tailor topics to specific sectors (e.g., healthcare, technology, finance).
▪ Invite executives from relevant industries to provide industry-specific perspectives.
▪ International business trends, cross-cultural management, and geopolitical risks.
▪ global expansion, trade agreements, and geopolitical challenges.