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Jair Ribeiro
Defining a Successful
Artificial Intelligence Strategy
for your Business
https://www.linkedin.com/in/jairribeiro/
https://twitter.com/Liberoliber
JAIR RIBEIROBusiness & Communication Strategist
AI & ML Center of Excellence, Volvo Group
Where should you start?
To succeed, an AI
strategy has to be
part of an
overarching business
plan.
Why does AI adoption can be so hard?
AI products are data
products. Training your
AI product requires data,
a lot of data. Valid data.
Good data!
Understand AI before you use AI
Training is what
differentiates AI
from data analysis
and other traditional
software
applications.
Understand what AI do well
AI is great at solving
specific, well-defined
problems.
Review your business strategy
To get the most out of
AI, it must be tied to
your business
strategy and your big-
picture strategic
goals.
Define your AI priorities
• What are your top business priorities?
• How can AI help you deliver your
strategic goals?
• What problems do you want or need
to solve?
You will need a data strategy
• Do you have the right sort of data to achieve your AI priorities?
• Do you have enough of that data?
• Do you have to set up new data collection methods, or will you
use third-party data?
Plan for Ethical and legal issues
• How can you avoid invading
people’s privacy?
• How can you ensure your AI is free of
bias and discrimination?
• What sort of consent do you need from
customers/users/employees?
• Are there any legal implications of
using AI in this way?
Think about your Strategic Change
Management
How will AI change your
company culture, and how will
you manage that culture
change?
Develop AI skills and capacity
There’s a huge skills
gap in AI and data.
Be prepared!
Conclusion
• Build a good data team, and develop good practices for
working with data. Allow adequate time for training.
• AI as any powerfull technologic tool, it must to be
developed under a clear light of ethics and principles.
• Stay aware of the problems you’ll encounter along the
way.
Thank you for
your attention
Jair
Ribeiro
https://www.linkedin.com/in/jairribeiro/
https://twitter.com/Liberoliber
Disclaimer: The views and opinions expressed in this presentation are those of the author and do not necessarily reflect the official policy or position of the my currently or past companies. Examples of analysis performed within this article are only examples and they
are not related to internal knowledge or information from the company I current work or have worked in the past. Assumptions made within the analysis are not reflective of the official position of my current or past company.

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AI Strategy Guide for Business Success

  • 1. Jair Ribeiro Defining a Successful Artificial Intelligence Strategy for your Business
  • 2. https://www.linkedin.com/in/jairribeiro/ https://twitter.com/Liberoliber JAIR RIBEIROBusiness & Communication Strategist AI & ML Center of Excellence, Volvo Group
  • 3. Where should you start? To succeed, an AI strategy has to be part of an overarching business plan.
  • 4. Why does AI adoption can be so hard? AI products are data products. Training your AI product requires data, a lot of data. Valid data. Good data!
  • 5. Understand AI before you use AI Training is what differentiates AI from data analysis and other traditional software applications.
  • 6. Understand what AI do well AI is great at solving specific, well-defined problems.
  • 7. Review your business strategy To get the most out of AI, it must be tied to your business strategy and your big- picture strategic goals.
  • 8. Define your AI priorities • What are your top business priorities? • How can AI help you deliver your strategic goals? • What problems do you want or need to solve?
  • 9. You will need a data strategy • Do you have the right sort of data to achieve your AI priorities? • Do you have enough of that data? • Do you have to set up new data collection methods, or will you use third-party data?
  • 10. Plan for Ethical and legal issues • How can you avoid invading people’s privacy? • How can you ensure your AI is free of bias and discrimination? • What sort of consent do you need from customers/users/employees? • Are there any legal implications of using AI in this way?
  • 11. Think about your Strategic Change Management How will AI change your company culture, and how will you manage that culture change?
  • 12. Develop AI skills and capacity There’s a huge skills gap in AI and data. Be prepared!
  • 13. Conclusion • Build a good data team, and develop good practices for working with data. Allow adequate time for training. • AI as any powerfull technologic tool, it must to be developed under a clear light of ethics and principles. • Stay aware of the problems you’ll encounter along the way.
  • 14. Thank you for your attention Jair Ribeiro https://www.linkedin.com/in/jairribeiro/ https://twitter.com/Liberoliber Disclaimer: The views and opinions expressed in this presentation are those of the author and do not necessarily reflect the official policy or position of the my currently or past companies. Examples of analysis performed within this article are only examples and they are not related to internal knowledge or information from the company I current work or have worked in the past. Assumptions made within the analysis are not reflective of the official position of my current or past company.