Attendees can connect with each other via the Social Lounge during networking breaks.
Simply choose a table to join and start having an audio/video call with other peers at the table!
This is almost as close as what you can get from an in-person event.

• The current state of Artificial Intelligence & Machine Learning
• Where does Artificial Intelligence / Machine Learning impact the information professions?
• What does the 5-10 future look like for Artificial Intelligence / Machine Learning and the information professions?

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Attendees can connect with each other via the Social Lounge during networking breaks.
Simply choose a table to join and start having an audio/video call with other peers at the table!
This is almost as close as what you can get from an in-person event.

“The Illimitable Mass”—AI and Primary Sources in classroom and research settings:

Ray will be speaking about the intersection of machine learning, digital humanities, and critical analysis as it relates to understanding and providing context for primary sources. Primary sources have provided valuable and interesting “raw material” for the digital humanities over the last ten years, and now advances in machine learning are expanding the ways in which students and researchers can analyze and integrate text and data, unlocking meaning and value.

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“Data analytics” and “big data” conjures up visions of hard-core data crunching. In this talk, Aaron Tay – Library analytics Manager at the Singapore Management University Libraries will share the work he has been doing for the last 5 years in areas relating to space analytics, resource use analytics, library valuation studies and more. He will also give a brief overview of some of the newer up and coming analytics tools that can be leveraged by librarians with limited technical skills to help achieve the goal of helping libraries making more informed and evidence-based decisions.

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