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AI and Analytics for Senior Leaders
Leverage AI and data to guide strategic leadership
This course equips senior leaders with the insight and tools to use AI strategically, turning data into foresight and business outcomes. You will explore real-world applications, ethical governance and how to foster both innovation and resilience in your teams.
1 Day
Overview
Artificial Intelligence and advanced analytics are reshaping how organisations make decisions, manage risk, and create value. Yet many leaders are unsure where to begin or how to distinguish genuine capability from hype.
This program equips senior leaders with the insight and language to engage confidently with AI and analytics – understanding their possibilities, limitations, and applications in real business contexts.
Participants learn how advanced analytics support forecasting, decision-making, and strategic planning across various domains, including operations, finance, marketing, and workforce design.
The course also explores governance and ethical considerations, enabling leaders to guide responsible adoption and ensure that AI contributes to both innovation and trust.
Who should attend?
Senior executives, directors, and aspiring leaders who want to lead confidently in an AI-enabled business environment by connecting analytics to strategy, performance, and organisational resilience.
Content
- The Strategic Role of AI and Analytics: Understand how AI and analytics support long-term organisational goals and enhance decision-making capability
- Types and Uses of Analytics: Clarify the distinctions between descriptive, diagnostic, predictive, and prescriptive analytics, and when each is most useful
- Inside Machine Learning: Gain insight into supervised and unsupervised methods, and how modern techniques such as text, image, and generative models are applied
- From Data to Foresight: Explore how predictive and prescriptive analytics can improve forecasting, planning, and performance across key business functions
- Evaluating Tools and Solutions: Learn how to critically assess analytical platforms and models to ensure they align with your organisation’s needs and maturity
- Managing Data Quality and Bias: Examine the ethical, technical, and governance factors that underpin reliable and responsible analytics
- Applying Analytics Across Business Domains: Explore real-world examples from finance, supply chain management, HR, and marketing to see how analytics drives practical improvements.
Learning outcomes
You will learn to:
- Understand the strategic role of AI and analytics in shaping organisational performance and long-term goals
- Differentiate between key types of analytics (descriptive, predictive, and prescriptive) and recognise their practical applications
- Build foundational awareness of machine learning methods, including supervised and unsupervised models, text and image analytics, and generative AI
- Connect analytical insight with business strategy to improve foresight, planning, and decision quality
- Evaluate vendor solutions critically to distinguish genuine value from overpromised capability
- Explore data quality, bias, and governance challenges that affect ethical and effective AI use
- Build confidence to ask informed questions, interpret results, and translate data insight into actionable business outcomes.
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