{"id":16234,"date":"2024-04-01T09:42:31","date_gmt":"2024-04-01T14:42:31","guid":{"rendered":"https:\/\/www.imegcorp.com\/?p=16234"},"modified":"2024-04-01T15:21:25","modified_gmt":"2024-04-01T20:21:25","slug":"ai-in-practice-imeg-chatbot-brings-decades-of-data-to-engineers-in-seconds","status":"publish","type":"post","link":"https:\/\/www.imegcorp.com\/insights\/blog\/ai-in-practice-imeg-chatbot-brings-decades-of-data-to-engineers-in-seconds\/","title":{"rendered":"AI in practice: IMEG chatbot brings decades of data to engineers in seconds (Podcast included)"},"content":{"rendered":"
In a two-part episode of The Future Built Smarter podcast, IMEG software development team lead Steve Germano discusses IMEG\u2019s internal, AI-powered chatbot, Meg. After a year-and-a-half of development, Meg is now live and serves as a search engine for the firm\u2019s engineering teams and other departments, drawing from the company\u2019s vast amount of stored data. <\/span>\u00a0<\/span><\/p>\n Built as a large language model, or LLM, questions can be asked of Meg by anyone in the company on a variety of engineering and non-engineering topics, from \u201cHow do I submit my expense report?\u201d to \u201cWhere can I find guidance on sizing steam traps?\u201d Meg will then point the user to the appropriate in-house tool or information from among the firm\u2019s own curated, accurate, and verified databases. Meg fields upwards of 1,000 questions a day from the firm\u2019s 80-plus engineering teams and other staff around the country, quickly bringing knowledge from across the firm to answer questions and provide technical information to provide the best solutions for local clients. <\/span>\u00a0<\/span><\/p>\n