Olivier Blais | SpeakerHub

Personal Details

Bio

Olivier, Moov AI's co-founder and VP of decision science is an accomplished speaker and an experienced professional in the field of AI. He has presented at various renowned international conferences, including the Open Data Science Conference in the US, Data Natives in Germany, Dublin Tech Fest, MLOps World, and World AI Summit, among others.

Aside from his speaking engagements, Olivier is also the editor of the ISO standard, which defines the quality of AI systems. He oversees a team of 50 AI professionals from around the globe, applying his cutting-edge AI and machine learning knowledge to implementing a data culture across various industries.

Olivier has played a pivotal role in supporting digital transformation projects in many major North American companies. He also serves as a mentor for AI at Creative Destruction Labs and coaches several start-ups.

His favourite topics to speak on are adopting and applying AI and responsible AI. Olivier was honoured with the prestigious "30 under 30" award in 2019 and co-authored a patent for an advanced algorithm that evaluates a borrower's creditworthiness.

Current position (2)

Head of Decision Science

Moov AI

Editor ISO/IEC 25058 - Quality of AI systems

ISO/IEC JTC 1/SC 42 Artificial Intelligence

Degrees (1)

Business Analytics

HEC Montreal

2013 to 2015

Presentations

Presentations (5)

Get ready for your first AI projects

Despite all the buzz that is still growing around AI, very few organizations are planning for the delivery of their first AI systems. On top of that, only about 15% of AI projects developed today are actually used.

Scary indeed.

How come so many companies are lagging in terms of AI system planning and delivery while few innovative companies are multiplying success stories?

Olivier Blais will guide you through the steps towards AI readiness lifecycle to successfully plan, deliver and adopt your first and next AI projects.

The right path to ML: How to deliver high-quality & robust ML projects

A data scientist told me once that training and selecting a model is only 20% of a ML project. This might sound anecdotal but it should not surprise any data science practitioners who have delivered a ML project.

So, what is the other 80%…

And how do you get your ML projects from an idea to a POC to adoption to ROI?

User needs, data gathering and cleansing, model validation, user training, governance. And we’re not even talking about the vast complexity of the infrastructure needed around your models.

At the end of the day, algorithms don’t implement themselves and we need rigorous processes and project management to get the value we want out of our AI projects.

Olivier Blais will guide you through the steps in a machine learning project lifecycle to successfully implement your next AI project.

It's time to start delivering high-quality ML models

Only 15% of AI projects will yield results in 2022. That's bad. The good news: there is a better way. We can deliver high-quality AI systems that meet business objectives and drive adoption.

In this talk, Olivier Blais, Head of Decision Science at Moov AI, a consulting company specializing in AI and ML projects and Project Editor of the "ISO/IEC TS 25058 – Guidance for quality evaluation of AI systems" standards, will share modern best practices and techniques to improve the quality evaluation of AI systems. This session targets AI practitioners, project managers, and leads as AI system quality is paramount in every AI project, team's processes and expert toolboxes.

Tips and Fail From AI Projects Delivered to Customers

Did you know that only 15% of all AI projects developed today are actually used? Developing a functional and useful AI solution is indeed a challenging task.

From real examples of projects deployed in production and learnings from the field, Olivier illustrates the current portrait of AI in business and proposes a new perspective. You’ll discover the best practices and the proper steps for adopting AI in your company.

Want to adopt AI in your business: good luck!

Did you know that only 15% of all AI projects developed today are actually used? Popular case studies circulating on social networks and in the media feature the giants of this world, the likes of Google, UPS and Facebook.

They are developing AI projects at breakneck speed thanks to their army of data scientists and billions invested in R&D.

Don't try this at home : replicate their success, in your company, with your context.

Replicating their recipe and waiting to meet all the winning conditions before launching an AI project will lead you to failure. You will lose time and you will be left behind by your competitors.

Don't worry, all is not lost.

In full transparency, Olivier Blais delivers a conference on the current portrait of AI in business and proposes a new perspective based on his learnings in the field. You’ll discover the best practices and the right steps for the adoption of AI in your company.

If you have data and a business goal, don't miss this conference.