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Dataperformers, A Bain Public Alumni Client, Has Been Acquired By Deloitte Canada

A Bain Public alumni client, Dataperformers Company Inc. ("Dataperformers"), has been recently acquired by Deloitte Canada. Bain Public acted as an Exclusive Product Advisor to Dataperformers in defining their Macula AI product roadmap. Headquartered in Montreal, Quebec, Dataperformers is an early-stage engineering and applied artificial intelligence (AI) company. By joining Deloitte Canada, Dataperformers will increase its capabilities in AI and machine learning, particularly in computer vision and machine learning operations (MLOps). With this acquisition, Deloitte is also set to gain D...

Part Two: Your Guide to Executing AI and Machine Learning Projects

There are a lot of complexities when it comes to building, shipping and executing AI and machine learning (ML) projects. In our previous article in this two-part series, we looked at the importance of collaboration and everyone understanding their roles within the product management team — and how these are the key ingredients that create the conditions for success with an AI project. So why does collaboration between product management, data science and engineering really matter? Product managers need to ensure that data scientists are delivering results in efficient ways so business co...

Bain Public to give a Product Leadership Workshop with Next AI

(Montreal, Canada) – Paul Ortchanian, Founder, CEO, Head of Product, Data and Strategy of Bain Public, lead a workshop on June 17th in collaboration with NEXT AI for a second year in a row. NEXT Canada’s initiative aims to accelerate the growth trajectory of aspiring and scaling entrepreneurs in the AI space with education, mentorship, funding and access to Canada’s strongest entrepreneurial network. Paul’s unique experience brings together the necessity of great engineering and the beauty of product strategy. With this, he has identified an actionable process that enables him to offer con...

Part One: Tomorrow’s Product Managers Need to Create the Conditions for Success With AI

When people talk about product management of the future, the first thing that comes to mind is artificial intelligence (AI). AI is changing the fundamental structure of every industry. We’re interacting with technology in new ways, from giving voice commands to virtual assistants to having Smart Reply suggest quick responses to our messages. Does that mean it’s time to embrace the mathematical techniques that enable the building of intelligent software applications using the family of techniques known as deep learning? Absolutely! There’s no doubt that delegating parts of the software deve...

Tomorrow’s Product Managers Will Need Solid Data, Model and Problem Understanding

When people talk about Product Management of the future, the first theme that comes to mind is artificial intelligence (AI). AI is changing the fundamental structure of every industry. We’re interacting with technology in new ways, from giving voice commands to virtual assistants to having Smart Reply suggest quick responses to our messages. In Alpha’s Product Management 2018 Insights study, a third of respondents reported having AI or machine learning incorporated into their products. Does that mean it’s time to embrace the mathematical techniques that enable the building of intelligent so...

Our immersion into Deep and Machine Learning at WatchMojo

Big data holds big promises for WatchMojo. Back in Q1 of 2017, in my quest to create proprietary products and innovations to link past video views and engagement to future video projects, I had heard about algorithms that can learn from data without relying on rules-based programming. To create value for our viewers, I asked if we had a dataset, then set our objective to discover which videos would be highly engaging and shared. We researched online, hired a data scientist and after a few attempts analyzing our records, got to develop statistical techniques and build interactive visualizati...

The story behind WatchMojo's AI-powered chatbots

About a year ago, thanks to my product leadership role at WatchMojo I got to lead an AI-powered chatbot initiative. There’s been an explosion of messaging apps: 1.2 billion people use Facebook Messenger, 1.2 billion people use WhatsApp, which is owned by Facebook. Snapchat, in terms of non-native iOS apps, is No. 2 in terms of how much time people spend with that app. iMessage is the most used iOS app. And of course, good old-fashioned SMS is on 4 billion phones. Often companies decide to expand their product portfolio of offerings to better support an existing market. Instead, we decide...