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Tech Forum [clear filter]
Wednesday, March 20


How Can AI Champion Great Storytelling?
Can machines work alongside humans to improve the storytelling process? We’ll share how an AI-powered analysis can help storytellers visualize and understand their stories — including character network, personality traits, emotional valence, and whether or not you’ve got a dynamic protagonist leaping from the pages. StoryFit identifies features applicable to all stages of book development, from acquisitions to marketing, and we’ll provide real-life examples to support your publishing decisions.

avatar for Mary Brendza

Mary Brendza

VP, Strategy, StoryFit
Mary is the VP, Strategy at StoryFit.  She leads marketing, business development, and strategy. She has held key digital leadership positions within media organizations, like Hearst and Verizon. She founded App Express, a self-serve, mobile app builder designed to help businesses... Read More →
avatar for Monica Landers

Monica Landers

CEO, StoryFit
Monica Landers is co-founder and CEO of StoryFit, a rapid-growth technology company which provides AI analytics for the publishing and entertainment industry. With two media technology patents, Monica’s deep experience in media extends from producing for ABC News and Good Morning... Read More →

Wednesday March 20, 2019 1:45pm - 2:30pm
Auditorium A (lower level, MaRS) 101 College St, Toronto, ON M5G 1L7, Canada


Project TAMIS: Using AI to Address the Discoverability Challenge
How do we discover books? Sometimes we ask people (bookstore and library staff, journalists, friends, family), but more often than not, we ask search engines (“thriller Brazil,” “kids’ books dragons") But these tools rely on the way books are described. Is the book actually labelled as a thriller? Do we know that the plot takes place in Brazil? How do search engines know that a particular book contains references to dragons? There are thousands of ways to describe a book and publisher time is limited. And book metadata is not always sufficient for all types of queries — any bookseller who's been asked to find a book by the colour of its cover can tell you that. Plus, discoverability is being increasingly performed through recommendation engines that are often based on historical sales data, not on the actual content of the books.

Projet TAMIS was launched by Éditions du Septentrion (a history book publisher based in Québec City) in collaboration with Brix Labs (a consulting agency with a focus on technology applied to cultural industries) to address these challenges. Researchers are using algorithms, open source code, and free or cheap APIs to extract descriptive information about books from books and to do it at a granularity and scale that would not be possible for humans. These findings could have huge potential to enrich traditional metadata, as well as create new ways to discover books.

This presentation will share some of the project's results, which will be made available online and provided to publishers in such a way to make it easy to upload them to their metadata aggregators.

avatar for Christian Roy

Christian Roy

President, Brix Labs
Christian Roy is the project coordinator and main researcher for Projet TAMIS. He has worked on many projects combining cultural content metadata, algorithms and technology. He is also the founder and CEO of Hercules.report, a market intelligence tool for book professionals. He was... Read More →

Wednesday March 20, 2019 2:35pm - 3:20pm
Auditorium A (lower level, MaRS) 101 College St, Toronto, ON M5G 1L7, Canada