Jennifer Schivas – 67 Bricks

Head of Strategy and Industry Engagement

Jennifer Schivas – 67 Bricks

Jennifer Schivas is Head of Strategy and Industry Engagement at 67 Bricks, a technology company that help publishers become data-driven product companies and deliver compelling user experiences. At 67 Bricks she has taken a lead in exploring how AI, machine learning and natural language processing can deliver value in the information industry. Jennifer serves on the ALPSP professional development committee and previously held roles at Oxford University Press, Taylor & Francis and Intellect Books. She brings practical experience of using these technologies on real projects and a vision for how they will shape the information product of the future.


Session Full Description
Readers from the smartphone generation increasingly demand slick, efficient and personalised online experiences, as an industry we need to keep up with that to stay relevant. This joint session with Chemical Watch and 67 Bricks will examine what semantic fingerprinting is, how it can be used to deliver value to users, and why change and momentum in our sector make this so timely. We will take a deep dive into some of the technologies used, including machine learning to improve the results over time, as well as giving examples of how the technology translates into benefits for Chemical Watch customers. Transforming content into a data asset in this way enabled Chemical Watch to not only deliver a new, optimised website with additional value-add features, but has also set them up to capitalise on longer term benefits such as powering efficiencies in content creation and supporting the delivery of new data solutions.

Actionable Takeaway #1
Develop a thorough understanding of what semantic fingerprinting is, how it works and how it can be used to transform content into a data asset

Actionable Takeaway #2
Understand how semantic fingerprinting can help you deliver your data, product and content strategies

Actionable Takeaway #3
Understand the benefits semantic fingerprinting can bring customers