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Build and train your own entity detection models and optimize detection for your organization – no data science training required. We’ll be showing off a demo of our latest capability, Custom Entity Types in Tonic Textual on Friday, December 5th.
Join us for a deep dive into Custom Entity Types in Tonic Textual, a new self-serve capability that makes it dramatically easier to detect sensitive information hidden within domain-specific or highly unique text. We will explain why traditional entity detection often fails with industry-specific language, how teams have historically spent weeks manually labeling data or training bespoke models, and how this new workflow removes that barrier entirely.
In this session, you will see how anyone, not just data scientists, can train tailored entity-detection models through an intuitive UI, resulting in major accuracy improvements for legal, healthcare, financial, and other specialized datasets. Adam Kamor, Tonic's Head of Engineering, will walk through a live demo of the feature followed by an open Q&A where you can explore technical details, real-world use cases, and best practices for getting started.