About this Talk
Problem: Despite the power of Gen AI, organizations still struggle to uncover value in their most complex data. Challenges in data integration, knowledge representation and reasoning still stand in the way of fact-based, hallucination-free AI in the business context. AI grounded in data should reveal deep, data-supported insights from even the most complex and poorly normalized databases.
Opportunity: It is becoming increasingly understood in the field that Knowledge Graphs offer a highly promising methodology for grounded AI. Graph RAG, for example, allows for the highest-performance truth-based natural language-based knowledge retrieval, provided you can construct and maintain a rich enough knowledge graph. conode’s completely novel methodology for schema-on-read, full-observability graph construction, management and AI-agent-mediated evolution significantly advances this vision.
Importance: By using knowledge graphs, organizations can improve the accuracy, relevance, and contextual understanding of their data, their AI’s behavior, and AI-generated content. This has significant implications for various industries, including customer service, content creation, and research.
Target Audience: Data scientists, AI engineers, and business leaders who are interested in improving the performance of their AI applications.
conode's (formerly dRISK.ai) unparalleled Graph Solution:
- Unparalleled Speed: conode's in-memory architecture delivers lightning-fast performance, allowing you to build and explore knowledge graphs at unprecedented speeds.
- Comprehensive Observability: Gain a complete view of your data with a completely novel way of constructing and visualizing a graph from any set of dimensions
- True Nocode Interface: conode’s intuitive platform makes it easy for anyone to build and manage knowledge graphs, without requiring extensive technical expertise. Conode eclipses both the most sophisticated database queries and most notebook coding via an easy-to-use combination of point-and-click and natural language commands.
- Enhanced AI Capabilities: Leverage knowledge graphs to improve the accuracy, relevance, and contextual understanding of your AI-generated content.
Impact:
- Build complex Knowledge Graphs in no time, without spending time on data fusion/prep/cleansing and ontology design to gain deep insights at speed
- Accelerate AI Development: Build and deploy AI models faster and more efficiently.
- Improve AI Performance: Enhance the accuracy, relevance, and contextual understanding of your AI-generated content.
- Gain a Competitive Advantage: Unlock the full potential of your data and stay ahead of the competition.
By using conode's unparalleled graph technology, organizations can overcome the challenges of building and using knowledge graphs, unlocking the true potential of their data for AI applications.
We’re a cloud tech company that provides organisations around the world with computing infrastructure and software to help them innovate, unlock efficiencies and become more effective. We also created the world’s first – and only – autonomous database to help organise and secure our customers’ data.
