Beyond the Model: Why Semantics Are the Missing Layer for Trusted AI
Discover how semantics and contextual layers help organizations build AI that is more accurate, explainable, governed and aligned with business needs.
From practical demos to thought-leadership webinars, learn how Datavid turns complex data into intelligence with semantics, knowledge graphs, and AI.
Discover how semantics and contextual layers help organizations build AI that is more accurate, explainable, governed and aligned with business needs.
Learn how scientific knowledge management and semantic backbones help R&D teams connect fragmented data, preserve institutional memory, and support trusted AI.
Learn how semantic search and knowledge graphs help scientists access hidden research insights faster in this Syngenta & Datavid webinar.
Discover what enterprises need to know about upgrading to MarkLogic 11/12, from risks to new features, and how to make the transition predictable and low risk.
Webinar: How Semantic Search and GenAI Unlock New Product Opportunities in Publishing
Gain insights from two expert panels moderated by Tim Padilla at CDO Magazine events on how Generative AI, Machine Learning, and domain-specific data are revolutionising business applications and driving innovation.
Explore how Knowledge Graphs and AI transform private data into actionable insights with expert insights, real-world applications, and hands-on demos.
Watch an interview with Datavid's founder Balvinder Dang and explore the possibilities of data intelligence in regulated industries.
A webinar with Syngenta and MarkLogic where we discuss practical applications of semantics and knowledge graphs for enterprises.
Join a fascinating exploration of Generative AI and Large Language Models (LLMs) within the enterprise sector, where innovation and practicality meet to revolutionise business automation and optimisation.
Discover how to implement Semantics and AI/ LLMs to your private MarkLogic data with this in-depth webinar.
Take a transformative journey with our experts into integrating Large Language Models (LLMs) with private knowledge platforms.