AI Community Conference - Toronto 2024: Work like a Brain with... AI and Copilot

AI is booming. Co-pilots are everywhere. But what is the real value for your business
During this session we will return to the vision. But not the vision of Microsoft or big tech companies. YOUR vision. Let's go back to your original mission and build YOUR own story and how the AI and Copilot should serve YOUR vision. From high-value data stored deep in your documents and all employee knowledge stuck in ad-hoc discussions, to how AI and Copilot can help your business capitalize on your know-how. Let’s talk about your company’s Collective Intelligence
Because build products and delivering services is not just about how to submit the right prompt in a LLM. AI needs human intelligence first to ensure you continue to serve your consumers at high standards and serendipity still exist in your business development.

1. Work like a Brain with... AI and Copilot Nicolas Georgeault MVP et MCT – MuBrain & AFI Expertise

2. Introduction

3. What is a human brain ? 86 billions of neurons connected by synapses We are losing every day around 85.000 neurons 10.000 billions of synapses per cm3 (1.400 cm3) 120 m/s, soit 430 km/h is the speed of information

4. Working like a Brain A connectome is a comprehensive map of neural connections in the brain, and may be thought of as its "wiring diagram".  Wikipedia Personnal Brain https://en.wikipedia.org/wiki/Connectome

5. Working like a Brain A connectome is a comprehensive map of neural connections in the brain, and may be thought of as its "wiring diagram".  Wikipedia #EnterpriseBrain https://en.wikipedia.org/wiki/Connectome

6. What we mean by «  Working like a Brain »? Our brain is working by association, comparison Let’s consider each employee as a neurone Build the corporate Knowledge Network Connect the dots Organize the micro- knowledge

7. What «  knowledge  » means The knowledge can be defined as ‘an organized body of facts, principles, procedures and information acquired over time’. (N. Blanchard and J. Thacker, 2009) knowledge refers to what individuals or teams of employees know or know how to do (human and social knowledge) as well as a company’s rules, processes, tools, and routines (structured knowledge). (R. Noe , 2008) To remain competitive companies, need to develop strategies to retain knowledge from older workers and transfer it successfully to other employees in the corporation. (T. Calo , 2008) “As the Baby Boomer generation prepares for retirement, many firms want to be sure that the knowledge and experience gained by the current leadership does not walk out the door when they do” (S. Glick, 2007)

8. What problems are we trying to solve?

9. Miscomprehension People have a very different understanding about AI. Lots of different tools exist . Lots? Millions! With very different phylosophies . Fears

10. Magic does not exist Siegfried And Joy https://youtu.be/q7sxNfGkU2k?si=be6EFz_wrZon3XvB

11. Losing the know-how Document by nature Information Data Information Knowledge sense structuration Knowledge Knowledge Knowledge Knowledge Know-how logic understanding emotional knowledge memory  Experience Produce Semantic

12. How to do it ?

13. Make it yours ! Built a strategy based on YOUR mission not the Microsoft one. Focus on what is the value for your mission. But… What is your Mission? Always remember your values.

14. Do you know who this guy is? His ML definition: Doing stuff by learning on data rather than being programmed Prof. Wil van der Aalst The godfather of process mining https://www.vdaalst.com

15. Understand your « real » processes Use Process Mining to analyze your processes . Start by focussing on small processes with highest value. Never try to automate something , you are not able to do manually . You can’t

16. Formal Meetings Use AI to help your mission first but help AI to be more efficient. Organize the Agenda, introduce patterns and provide guidance Reduce time to 30mn. Keep topics separates . Name the topic first with related keywords. Name the person in charge of it . Close by adding a conclusion. Close by summarizing tasks .

17. Adhoc Meetings Formal meeting are like documents where Adhoc meeting are like conversations. Teams mobile app can start a meeting on movement . Provide guidance about how to record adhoc meetings from Teams mobile App. Follow the same pattern you defined for formal meetings.

18. Documents Normalize titles Normalize keywords Provide guidance about how to use Copilot to insert a summary Identify content generated using AI Keep the AI generated content out of your knowledge network

19. Thoughts Enterprise Social Network is the only place to store micro- knowledge . Start using Viva Engage to structure the know-how. Use Viva Engage to connect the knowledge . Teams conversations are not adapted to this content. People typically have more than 6,000 thoughts per day ( https://www.nature.com/articles/s41467-020-17255-9 ) Provide guidance about how to structure posts and how to use Tags

20. Serendipity AI NOT creative AI lacks true curiosity AI cannot replicate human serendipity But serendipity is strategic for your activity

21. Conclusion

22. Dos and don'ts Don’t limit AI to a passive assistant. Don’t try to explain prompt engineering. Don’t try to explain what are Copilots but where to use it . Start building your Knowledge Network. Don’t limit knowledge to only documents.

23. Questions?

24. Thank you