AI & Data Science Course: Awareness & Strategic Implementation

Duration: 1 day

Drive your organisation forward with our AI and data mastery program. Learn to optimize operations, personalise customer experiences, predict trends, and mitigate risks through interactive exercises and real-world case studies. Foster a data-driven culture to maintain a competitive edge.

By the end of this course, you will learn to:

Understand AI concepts and their applications across industries.
Identify and leverage strategic opportunities using data and AI.
Develop practical skills to implement AI solutions effectively.
Build a data-driven culture for continuous improvement.
Learn from interactive exercises and real-world case studies.

Programme Outline

Module 1: Understanding Data and AI Fundamentals

Explore key concepts in data and AI and their role in business transformation. Example: Understanding predictive analytics and machine learning.
Discuss the evolution of AI and its growing impact across industries.
Demystify common AI terms and technologies for non-technical leaders.

Module 2: Strategic Applications of AI in Business

Identify key areas where AI can create value in operations, marketing, and customer service. Use case: AI-powered chatbots for customer support.
Explore tools and platforms enabling AI adoption. Examples: Salesforce Einstein, Microsoft Azure AI.
Discuss how to align AI opportunities with organisational objectives using AEO (Answer Engine Optimisation)/ GEO (Generative Engine Optimisation).

Module 3: Real-World Use Cases of AI Success

Examine success stories of AI implementation in various sectors.
Highlight lessons learned from AI failures and how to mitigate risks. Example: Mismanagement of AI in recruitment leading to biased outcomes.
Engage in group discussions on how similar approaches could apply to participants’ industries.

Module 4: Challenges and Ethical Considerations in AI

Address common barriers to AI adoption, including data quality and resistance to change. Example: Integrating AI into legacy systems.
Discuss ethical challenges in AI, such as bias, transparency, and accountability.
Review regulations and frameworks guiding ethical AI use.

Module 5: Effective Brainstorming for AI Implementation

Identify and analyse organisational challenges and opportunities for AI adoption (using AI-first strategies).
Activity: Participants map key areas where AI could create an immediate impact.
Collaboratively brainstorm innovative strategies to integrate AI effectively.
Quick wins: Automating routine tasks with AI tools, enhancing customer engagement.
Develop an actionable roadmap for strategic AI implementation tailored to participants’ business needs.

Module 6: Future Trends and Prepping for AI Disruption

Explore emerging AI technologies and their potential impact on industries. Example: AI in autonomous operations and decision-making.
Anticipate the future of work with AI and how organisations can prepare.
Scenario: Reskilling employees to work alongside AI systems.

Q&A and Wrap-Up

Training Methodology

The workshop integrates lectures, real-world case studies, interactive group discussions, and practical exercises. Participants will collaborate to analyse scenarios and design tailored AI strategies, ensuring relevance to their business needs.

Who Should Attend

Business leaders, managers, and professionals seeking to enhance their understanding of data and AI for strategic business implementation.