data.world, the enterprise data catalog for the modern data stack, launched the data.world AI Lab, a first for the data catalog industry. The data.world AI Lab brings together customers, partners, and academics to collaborate on using the latest AI technologies to improve data team productivity through data catalog integrations. Dr. Juan Sequeda, principal scientist at data.world and co-author of the book Designing and Building Enterprise Knowledge Graphs, will lead the AI Lab, with an initial focus on automating data discovery and governance using data.world’s patented knowledge graph foundation and AI tools such as GPT-3, OpenAI’s large language model (LLM).
“data.world’s AI Lab showcases the power of knowledge graphs and AI tools, especially how they can be used together to improve business outcomes,” said Brett Hurt, CEO and co-founder of data.world. “The integration with GPT-3 is just the first example of the many possibilities that lie ahead, and we look forward to continuing to work with our customers to explore new and exciting use cases for knowledge graphs. When we founded data.world, we started with our knowledge graph architecture because we knew it would serve as a foundation for the future of AI. That future is here now.”
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data.world customer WPP, the creative transformation company, is the first to explore these new capabilities with an integration between its data catalog and GPT-3. Made possible by data.world’s knowledge graph foundation, WPP is now able to catalog any type of resource and open APIs that enable integration with those resources. It can also utilize powerful new features, including:
- Use Case Inspiration: Suggesting use cases that can be addressed with certain datasets, providing valuable inspiration for those looking to extract insights from their data.
- Dataset Recommendations: Generating recommendations for which datasets could be used to address specific use cases, making it easier for data consumers to find the data they need to drive their business forward.
- Metadata Enrichment: Providing inferred summaries describing the datasets and inferred tags for the datasets, speeding data stewardship for new datasets.
“We are thrilled to have the opportunity to innovate with data.world,” said Vip Parmar, global head of data management at WPP. “By taking full advantage of the knowledge graph capabilities of data.world’s data catalog, we are able to accelerate metadata enrichment and recommend complementary datasets, inspiring the creative uses of data.”
SOURCE: GlobeNewswire