You’ve heard of generative AI and ChatGPT, and maybe you’ve played around with ChatGPT for fun or even used it for work related research.
While it has become clear that generative AI and large language models (LLMs) are an important consideration for enterprise-level AI architecture, there are still key pitfalls that restrict enterprises from relying solely on LLMs or ChatGPT.
In order to maximize the use of generative AI and LLMs, on which ChatGPT is based upon, enterprises need to power generative AI with knowledge graphs.
In this webinar, learn more about the power of knowledge graphs and LLMs, and how you can strategically train your LLM to yield analytic success. You’ll hear from Ontotext’s Chief Technology Officer, Vassil Momtchev, and Strategic Technology Director, Sumit Pal (former Gartner Analyst), and Solutions Architect, Krasimira Bozhanova. They will discuss:
Chief Technology Officer
Vassil Momtchev has been with Ontotext for over 10 years. During this time he has managed multiple teams, coordinated several EU funded research projects and has served as a board member for a few years. Vassil has been involved in developing innovative information systems for Pharma and adopting the latest trends from applied research for more than 15 years now – and counting.
Strategic Technology Director
Sumit Pal is an Ex-Gartner VP Analyst in Data Management & Analytics space. Sumit has more than 30 years of experience in the data and Software Industry in various roles spanning companies from startups to enterprise organizations in building, managing and guiding teams and building scalable software systems across the stack from middle tier, data layer, analytics and UI using Big Data, NoSQL, DB Internals, Data Warehousing, Data Modeling, Data Science and middle tier.
Krasimira Bozhanova has been with Ontotext for over 7 years. Krasi's experience as a developer and now Solutions Architect has helped Ontotext hit important milestones as GraphDB has evolved.