Levenshtein distance is a metric for comparing strings, providing a score for the difference between them. While it's been around for decades, it's found new applications in modern computing for comparing AI-generated text to it source material in ways that can help programmers preserve the privacy of data in large language models.

In Docusign 2024 Release 2, we’re announcing new capabilities in Docusign IAM that help you escape the Agreement Trap with intelligent agreement management, generative AI experiences, and smooth source-to-pay processes.

We sat down with Gainsight CEO Nick Mehta to discuss why the customer journey is so important today and how AI is changing the future of customer experience.

Docusign distinguished engineer Dan Selman runs test queries to detect which tools a large language model (LLM) uses to answer queries against knowledge graph, showing you there's more to it than Retrieval-Augmented Generation (RAG).

The AI Data Controls setting gives customers additional control in-product over sharing data for AI training.

New research from Deloitte validates what we’ve known: It’s too hard to manage agreements with existing tools and processes.