4. Artificial Intelligence
A set of tools designed to make technology and computers work
and react like humans.
Once developed it can: understand intent, context or emotion;
recognise images or sounds; plan complex tasks; solve problems;
and learn over time from its own experience.
6. Leading AI application areas
Bots, Chatbots and
Virtual Assistants
Smart Objects, Sensors and
Environments
Analytics and Predictive
Analytics Models
Conversational AI Platforms
7. Where is AI used today?
Inside the Enterprise
• General Enterprise AI Strategies
• Customer Service and Support
• Digital Business Initiatives
• Digital Commerce Personalization
• Governance and Information Management for AI
• Human Capital Management/Recruiting
• Internet of Things
• IT Service Monitoring/Help Desk
• Legal, Ethical and Social Issues
• Sales
• Security and Fraud
• Workplace and Digital Workplace
Vertical Industries
• Automotive
• Banking, Asset and Wealth Management, Capital Markets
• Business Process Outsourcing, Customer Management,
Finance and Accounting Procurement, and HR
• Consumer Products With AI
• Government
• Healthcare, Life Science and Pharma
• Education (K-12 and Higher Education)
• Insurance Services — Property, Casualty and Life
• Invest/Venture Capital and AI
• Manufacturing Operations
• Retail
• Supply Chain
• Telecom
Gartner - A framework for applying AI in the enterprise, 2017
9. AI is not perfect yet in
some areas, but is
rapidly evolving
1
Key takeaways
Time to develop our
own Finnish culture
based AI
3
Enough research and
tools available to ensure
a swift take off
2
CX optimized by AI will
be massively beneficial
for your customers
4
Visual Question Answering – give open-ended answers to questions about images
Question Answering – find the answer to a question within a document
Speech Recognition, switchboard – recognize speech from phone call audio
Object Detection – in the Large Scale Visual Recognition Challenge (LSVRC) Competition.