DEDOCTIVE

Knowledge Model-Driven Q&A

Organizations struggle to provide accurate answers due to vast, unstructured information and users’ difficulty in querying systems effectively. AI alone fails to solve this, introducing issues like trust, provenance, and hallucinations.

Dedoctive overcomes these challenges by creating a comprehensive knowledge model from any organizational data. Users ask natural language questions, and Dedoctive retrieves relevant knowledge, using AI to refine responses with the desired detail and focus.

Peter Lawrence’s blog explores these groundbreaking advancements in Dedoctive’s unique technology.

Peter Lawrence is a passionate and innovative senior technologist who delivers transformational solutions to strategic technical challenges at enterprise level, including as founder / CTO of several startups. At Matrikon, which was acquired by Honeywell, Peter led all software and information technology developments, transforming the software platform from an expensive-to-maintain legacy system to a Lean system focusing on added-value and utilizing third-party technology where possible. Peter also transformed the development processes from traditional but inefficient waterfall development to Agile methodology. Before that, as President and founder of Resolution Integration Solutions, Peter led the creation of Resolution, an innovative database model application for the process manufacturing industries. Other positions Peter has held included Director of Technology at Morrison Knudsen, Vice President at KBC Advanced Technology, Technical Director and founder of KBC Process Automation, and a founder of Process Automation and Computer Systems Ltd.