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Tune in to this episode of the Ask AI podcast and learn how Melissa Kargiannakis, Founder and CEO of Skritswap helps organizations simplify the way they communicate by applying artificial intelligence to complex documents and jargon in order to help make language clear, accessible and easy-to-understand. To get all the show links, visit our episode post: https://www.askai.org/post/can-artificial-intelligence-simplify-complex-jargon
In this episode of Ask AI podcast, we sit down with Henry Shi, Co-Founder at SnapTravel to learn more about their AI-powered messaging platform for booking hotels. Discover how SnapTravel is leveraging artificial intelligence to power the next evolution of e-commerce known as relationship-driven commerce, and how they have managed to thrive during the pandemic. To get all the show links, visit our episode post: https://www.askai.org/post/how-is-ai-evolving-ecommerce
Tune into this episode of the Ask AI podcast and catch-up with Jean-François Gagné, CEO of Element AI, one of the World’s largest AI startups. We explore his thoughts on how COVID-19 has impacted the AI sector in terms of governance, privacy, and ethics. We also explore his perspective on the role of government in enabling artificial intelligence and machine learning innovation. To get all the show links, visit our episode post: https://www.askai.org/post/whats-new-at-canadas-largest-ai-startup
In this episode of the Ask AI podcast, we speak with Dr. Foteini Agrafioti, Head of Borealis AI and RBC's Chief Science Officer who has helped to create a new online hub that provides AI developers and researchers with scientific research, research code, and training materials to support the inclusion of ethical dimensions within their projects. To get all the show links, visit our episode post:
https://www.askai.org/post/how-does-an-online-hub-for-ethical-artificial-intelligence-work
Fresh water is precious to life, we all know that. It's also finite. So it's probably a pretty good idea that we leverage every tool at our disposal to help make it last. Tune in to this episode of the Ask AI podcast and learn how Naysan Saran, CEO and co-founder of Montreal-based CannForecast is applying artificial intelligence and machine learning to improve safety at public beaches and predict municipal pipe maintenance issues to help conserve this precious, life giving substance. To get all the show links, visit our episode post: https://www.askai.org/post/how-can-artificial-intelligence-help-solve-urgent-water-issues
Tune in to this episode of the Ask AI podcast and learn how Dan DeMers, CEO and co-founder of Toronto-based Cinchy, has taken inspiration from the network-based design of the brain to develop Data Fabric technology that eliminates traditional integration, accelerates AI/ML projects, and supports universal, owner-defined access controls. To get all the show links, visit our episode post: https://www.askai.org/post/how-is-a-data-fabric-used-to-accelerate-ai-projects
This episode of the Ask AI podcast features a lively interview with Joe Canavan, CEO of Next Canada, one of Canada’s premier accelerators, and Patricia Thaine, CEO of Private AI (and member of the Next AI program) that’s using AI to make leading-edge privacy tools easier for developers to incorporate into their product designs. To get all the show links, visit our episode post: https://www.askai.org/post/how-does-next-ai-support-canadian-startups-like-private-ai
The Ask AI interview with Bin Liu, CEO & co-founder, iMerciv co-founder of Toronto-based iMerciv whose Mapinhood apps is using machine learning technology to augment the pedestrian experience for people with vision loss and blindness and helping city-dwellers to reduce their outdoor exposure to the COVID-19 virus. Visit our episode post to get all the show links: https://www.askai.org/post/artificial-intelligence-and-personal-navigation
This Ask AI interview with Carole Piovesan, Co-founder and Partner at INQ Data Law. With over a decade of experience in governmental policies and data law, Carole specializes in helping organizations not only on the legal side, but also the privacy and governance of data pertaining to AI. To get all the show links, visit our episode post: https://www.askai.org/post/why-is-it-important-to-have-a-data-strategy-before-an-ai-strategy
When designing for machine learning products and features, understanding mental models is crucial. Users need to feel like they understand how the machine came up with the result. Winter Wei, Design Lead at Kira Systems explains how she designs trust and interpretability into machine learning products. To get all the show links, visit our episode post: https://www.askai.org/post/can-trust-be-designed-into-artificial-intelligence
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