Target audience: Business people with a limited understanding of technology concepts. The aim of this seminar is not technical, but to provide people with a non-technical background the needed information to apply in their daily lives and businesses.

 

Seminar Day 1: The Context of AI: Past and Future

 

Opening and scene-setting

• Agenda

• Outcomes

 

The context of history

• Human (hominid) prehistory & brain development

• A brief history of human innovation

• How humans innovate and respond to innovation

• Growth models of history

• The Agricultural revolution

• Anthropomorphism - why we make robots that look like us

 

A brief history of modern technological innovation

• The Industrial revolutions

• Alan Turing: the father of modern computing

 

The history of Artificial Intelligence

• The biggest event in human history

• AI “winters”

• Looking through the hype & reality - What is AI?

• Narrow Artificial Intelligence

• General Artificial Intelligence

• Superintelligence / The Singularity

• Survey of terminology relating to AI

 

The future of work

• Remote workforce

• Sharing economy: off-balance-sheet workers

• The skills of the future

• The workplace of the future

• The managers of the future workforce

 

Opening a “can of worms”

• Big Brother & George Orwell

• Ethics and AI

• Philosophy and AI

• AI for good: can it serve humanity?

• AI for bad: our last invention?

 

 

Seminar Day 2: AI: Business Application and Relevance

 

Opening and scene-setting

• Summary of previous day’s content

• Agenda

• Outcomes

 

AI in our every-day lives

• AI will impact us all - it already does

• Examples of how we all use AI currently

 

Survey of AI companies

• “AI-First” companies

• The AI Trailblazers

• AI Startups

 

Survey of how nations embrace AI

• United States

• China

• The European Union

• Russian Federation

 

The drivers of technological change

• Big Data

• Cheap storage

• Faster processing power

• Ubiquitous connectivity

 

Practical AI application in business

• Retail, Consumer Goods, Food & Beverage Companies

• Media, Entertainment and Telecoms

• Services, Financial & Healthcare Companies

• Manufacturing, Automotive and Aerospace

 

Is your business ready for AI?

• Embarking on an AI journey

• Understanding your AI ambitions

• Aligning with business strategy

• Assessing your AI maturity

 

Developing a business case for AI

• Change management

• Prototyping

• Avoiding pitfalls

• Industrialising AI

 

Conclusion