Generate Gremlin queries using Amazon Bedrock models

In this post, we explore an innovative approach that converts natural language to Gremlin queries using Amazon Bedrock models such as Amazon Nova Pro, helping business analysts and data scientists access graph databases without requiring deep technical expertise. The methodology involves three key steps: extracting graph knowledge, structuring the graph similar to text-to-SQL processing, and generating executable Gremlin queries through an iterative refinement process that achieved 74.17% overall accuracy in testing.

Incorporating responsible AI into generative AI project prioritization

In this post, we explore how companies can systematically incorporate responsible AI practices into their generative AI project prioritization methodology to better evaluate business value against costs while addressing novel risks like hallucination and regulatory compliance. The post demonstrates through a practical example how conducting upfront responsible AI risk assessments can significantly change project rankings by revealing substantial mitigation work that affects overall project complexity and timeline.

New PLI Press Treatise Provides Guidance and Considerations for Artificial Intelligence and Intellectual Property

NEW YORK, Oct. 23, 2025 (GLOBE NEWSWIRE) — As artificial intelligence (AI) technologies continue to evolve and drive innovation across industries, economies, and the law itself, a new book from PLI Press explores how AI is challenging and redefining traditional intellectual property (IP) frameworks. Artificial Intelligence & Intellectual Property, a comprehensive book authored by experienced IP, technology, and media attorneys Charley F. Brown and Lynn B. Oberlander and a team of expert contrib