Informatica's Gaurav Pathak and Fivetran's George Fraser discussed the evolving data stack and the role of metadata knowledge graphs during Supercloud 7.

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Fudan University and Shanghai Academy of AI for Science, in collaboration with Nature Research Intelligence, have released the AI for Science 2025 report, offering insights into how AI can reshape ...

Demand for data science is only growing. The Bureau of Labor Statistics (BLS) predicts data scientist roles will grow by 35% by 2032, much faster than average.

TL;DR Key Takeaways : GraphRAG uses knowledge graphs instead of traditional vector databases, allowing deeper insights and relationships within datasets through structured data representation.

Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

AnswersAi shows what education technology (EdTech) can look like when AI moves beyond being just a tool on the sidelines and ...

The challenge lies not in the accumulation of data, but in the effective extraction of actionable intelligence. Artificial Intelligence (AI) serves as the transformative tool, capable of converting ...

In contrast, graph databases are designed to handle complex, interconnected questions more efficiently. They can traverse the data and relationships between customers, purchase history, location ...