data.world, purpose-built for the AI era since our inception, has officially rolled out our most important AI-related product to date: the AI Context Engine™. This product is redefining how businesses interact with and extract value from their structured data, offering unparalleled accuracy, explainability, and governance.
The challenge: LLMs and business context
Generative AI, especially large language models (LLMs) like OpenAI’s GPT-4 (and now the even more impressive GPT-4o), have made waves by allowing users to engage in natural language conversations with incredibly vast amounts of content online, including data and code. However, these models often falter when dealing with structured, internal business data, lacking the context to interpret complex business terms and relationships. This gap has hindered an organization’s ability to move from interesting experiments into fully-integrated, revenue-generating AI solutions.
The fix: Enter the AI Context Engine
Our AI Context Engine addresses these challenges head-on. data.world is built on top of a knowledge graph architecture (now with 76 patents), which integrates metadata, processes, policies, people, and systems into a language AI can understand. When organizations connect LLMs to their proprietary data and business context that’s indonesia whatsapp number data stored in the knowledge graph, responses become more accurate and explainable. Research shows that LLMs are 4.2 times more accurate with a knowledge graph than those relying solely on SQL databases.
Real-world impact
Organizations are already reaping the benefits of our AI Context Engine. Team members can now ask complex questions like, “How does our organization define ‘current retention rate’, and how have these rates changed over the last five years?” In response, they’ll receive precise, contextually rich answers.
Vip Parmar, Global Head of Data at WPP, highlights the transformative power of our AI Context Engine: “Enabling all of our colleagues to interact with our data applications and services in a natural way unlocks our data for creative use, irrespective of skills and specialisms. The AI Context Engine bridges the gap from discovery to use, seamlessly and effectively.”
Cris Hadjez, Senior Director of Data Governance at Norwegian Cruise Lines, adds, “The AI Context Engine from data.world is powering the future of Norwegian Cruise Line by producing insights through GenAI that enable us to deliver a positive customer experience. We’re accelerating implementations and significantly improving trust and adoption of AI.”
Ushering in the era of the AI Context Engine™
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