Our AI Business Education & Awareness Services equip your teams with the knowledge and confidence to start introducing AI into your organisation, and ensure business priorities drive AI/ML work, rather than technology choices.
Our AI Education & Awareness services are aimed at 3 audiences:
Business Executives deciding on organisational direction & strategy
Technology Leaders responsible for delivering AI/ML solutions & building AI/ML capability
Business Staff & Managers whose work will change because of AI & ML
All our AI Education work is tailored to your needs. Some elements may be custom-designed for your specific goals; others may be standard modules addressing common circumstances.
We are happy to deliver one-off sessions, perhaps as a “taster” to working with us.
Education may also be part of broader AI/ML programmes. For example, AI strategy and roadmap development, or introduction of ML solutions into a business process.
Format of AI Education Sessions
Our sessions are held in person, in a workshop format. There will generally be 1-2 workshop leads, with typical audience sizes of 3-12. Audiences are usually members of common group, such as a management team, project or department.
Typical Session Durations
Workshop durations vary from half-day to three days. Where more needs to be covered than fits into three days, we recommend a series of shorter sessions spread over a period of weeks.
Sample AI Business Education Topics
These are typical topics we cover. These can be combined, or supplemented with topics you propose to meet your specific needs.
AI Business Education for Executives
An Executive Introduction to Artificial Intelligence, Machine Learning & Data Science
AI Business Education for Strategy
AI/ML Opportunity & Competitor Assessment for [YOUR ORGANISATION]
Implications of AI & ML on Corporate Policies including Ethics, Governance, Legal/Statutory & PR/Brand
The Impact of AI/ML on [INDUSTRY] e.g. Retail, Media, Insurance, Healthcare, Professional Services
AI Business Education to Improve Operational Performance
The Impact of AI/ML on [BUSINESS FUNCTION] e.g. Sales, Marketing, Customer Service, Distribution
Using AI/ML to improve [BUSINESS METRIC/PROBLEM] e.g. Customer Churn, Warehouse Losses, Price Optimisation
AI Business Education to Build Organisational AI Capability
Evolution & Options for Building AI/ML Organisational Capability e.g. Skills, Structure, Tools, Sourcing
The Impact of AI/ML on [SPECIFIC IT PRACTICE] e.g. Agile, Testing, Requirements Traceability, Cloud Usage