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Olivier Blais
Co-Founder & Head of Decision Science @ Moov AI
Olivier Blais is the co-founder and VP of Decision Science at Moov AI, a top consulting firm specializing in data valorization and artificial intelligence.
He is a seasoned professional guiding companies in deploying robust and ethical AI solutions to improve decision-making processes.
In 2023, Olivier was honored as the Chair of the Canadian delegation for artificial intelligence of the ISO/IEC by the Canadian Standards Council, showcasing his expertise and leadership in the field.
He serves as the editor of the global ISO standard that defines the quality of AI systems, leading an international team of 50 AI experts.
As an esteemed international speaker, Olivier addresses various topics including the practical applications of AI in business and the importance of responsible AI.
Acknowledged for his achievements, he received the notable '30 under 30 Infopresse' award and is a co-author of a patent for an advanced algorithm assessing borrower solvency.
His educational background includes rigorous studies at HEC Montréal, Université de Sherbrooke, and Simon Fraser University, focusing on business administration, marketing, project management, and data analytics.
Olivier has held key positions in prestigious organizations such as ISO/IEC Artificial Intelligence, Moov AI, Creative Destruction Lab - Montreal, Flinks, College Ahuntsic, GSOFT inc., L'Oréal, and Pratt & Whitney Canada, showcasing his comprehensive experience and expertise in decision science, data analytics, and AI implementation.
Highlights
🎉 Je suis honoré d’être reconnu comme un thought leader par BetaKit, aux côtés de brillants esprits comme Dr. Sasha Luccioni de Hugging Face et Anne Nguyen, LSSBB du Conseil de l'innovation du Québec. 🙌
Bien hâte de participer à ALL IN 🚀🚀🚀
Google has been making incredible strides in the world of AI, and some of their latest updates are truly game-changing. Here are a few highlights that haven’t been discussed enough :
🌟 The Gemini 1.5 Pro Exp 0801 update is a powerhouse! It has topped the LMSYS Chatbot Arena Leaderboard with an impressive ELO score of 1300, surpassing major competitors. This model excels in multilingual tasks, technical areas like mathematics and coding, and has secured the top spot on the Vision Leaderboard for its strong multimodal capabilities. With an expansive context window of up to two million tokens, it can handle complex, multimodal inputs with high accuracy, opening up new possibilities for automation and decision support across various industries.
💡 The latest Gemma 2 models are available in 2B, 9B, and 27B parameter sizes, making them highly efficient while maintaining strong performance. Despite their smaller size, they outperform many larger models in tasks like text generation and language understanding. The Responsible Generative AI Toolkit ensures that these models are used responsibly and effectively, while the new interpretability tool, Gemma Scope, provides detailed insights into the model’s decision-making process, making AI more transparent and user-friendly.
🔍 Gemma Scope offers feature attributions, example-based explanations, and an interactive dashboard to help users understand and explain the model’s results. Integrated with Google Cloud, it makes deploying and monitoring models with built-in explainability features easier than ever.
🌐 A Call to Action It’s great to see Google leading the way with both high-performance and responsible AI models. These advancements not only push the boundaries of what’s possible but also ensure that AI is used ethically and transparently. Let’s challenge Google and other LLM providers to continue combining performance, efficiency, and responsibility to create the next generation of AI models.
