Theme
Adoption Is People
AI projects rarely fail on the technology. They fail because nobody changed how they work, nobody was consulted, or the problem was never defined.
Episodes on this theme
La Révolution de l'IA avec MoovAIGuillaume PetitclercCo-fondateur et VP Marketing et Partenariats, MoovAI (aussi CMO et co-fondateur de Snitch AI)
AI Transformation: Democratizing Innovation at TELUSAlexandre GuilbaultFounder of the TELUS AI Accelerator, leading a team of over 65 AI engineers at TELUS
Transforming Retail Through AI: Inside ALDO's AI Evolution with Fatih NayebiFatih NayebiVice President of Data and AI at Aldo Group and lecturer at McGill University's Desautels Faculty of Management
Designing the Future of Human Connection — Anick Beaulieu on AI, Creativity & C2 ExperiencesAnick BeaulieuCEO of C2, the experiential studio behind C2 Montréal
QuébGPT : Révolutionner les PME avec l’IA – ft Charles DemontignyCharles DemontignyFondateur de QuébGPT (anciennement Fluxion Conseil), créateur du chatbot Capture
How to Revolutionize Data Engineering with Diana, the AI-Powered Jr Data EngineerJosh GrayCo-founder and CEO of Artemis
How Salesforce is Using AI to Transform Customer RelationshipsJagSenior Solutions Engineer, Enterprise, Salesforce (data and AI specialist)In their words
Most AI projects don't fail because of the technology. They fail because of people.
C'est rarement un problème technologique. Parce que, bon, on est la race humaine et les gens en technologie habitués, c'est-à-dire les outils sont là. À mon sens, puis ce qu'on a vu sur le marché, c'est surtout l'adoption et beaucoup du change management.Guillaume Petitclerc
Guillaume answers what the main challenges are when companies try to integrate AI.
Give a great AI tool to salespeople who weren't consulted, and they simply won't use it.
Tu sais, si tu donnes un nouvel outil à des vendeurs qui est basé sur l'intelligence artificielle, puis ces gens-là font ça depuis 20 ans, puis ils n'ont pas été impliqués dans le projet dès le départ, ils vont faire, il est beau ton outil, mais je ne vais pas l'utiliser. Pas de retour sur investissement.Guillaume Petitclerc
He gives an example of how a good AI tool fails when users were not involved from the start.
The best AI model in the world is useless if nobody changes how they work.
I'm often saying the best model in the world is useless if nobody use it or nobody change their process out of that. So sometimes I feel with new technologies coming in, people are so impressed by the technology itself that they forget the principle that has always been there and is still there, that there's no meaningful change without technology, people and process.Alexandre Guilbault
Alexandre explains why stakeholder alignment is the top factor in successful AI projects at TELUS.
Stop running AI proofs of concept. Run proofs of value instead.
POCs are really popular in technology, but a proof of concept finishes with technology concepts. It's not necessarily creating value. So we prefer proof of value. And a proof of value, you might not even have the technology concept completely finalized.Alexandre Guilbault
He describes why TELUS swapped proofs of concept for proofs of value.
Saying you're against AI shuts down the useful question: how, not if.
I don't think you can be like, oh, I'm against it. I'm against change. I'm against technology. And I think that this kind of behavior is detrimental to even having like constructive discussions about how rather than if.Anick Beaulieu
Anick says where she draws the line with team members who resist AI.
Not every AI project should reach production, and that's normal.
We need to experiment things. We need to try things. And not everything that we do is going to go to production because sometimes we find out we don't have the data or the expectations are far from what we're getting.Fatih Nayebi
Advice on experimentation and accepting that some AI projects will not ship.