Web 2.0 focused on establishing interactive human-to-human communities on the internet with rich content. Web 3.0 evolves beyond this and strives to make content consumable for people and machines.

The average Fortune 500 company in 2018 has well in excess of 1000 database servers, with tens of thousands of actual databases within those servers. Those same companies have untold thousands of ...

The recent increase in the popularity of property graph databases is well-founded, as they fulfill a real need. But as usage continues to ramp up, the limitations of traditional property graph systems ...

D2R Server is a tool for publishing the content of relational databases on the semantic Web. Database content is mapped to RDF (Resource Description Framework) by a declarative mapping which specifies ...

Without structured context, GenAI applications are noisy and error prone. After all, real intelligence requires context, precision and understanding. This is why ...

I’ve been working with Microsoft BI tools for 28 years now and for all that time Microsoft has been consistent in its belief ...

When Pinecone announced a vector database at the beginning of last year, it was building something that was specifically designed for machine learning and aimed at data scientists. The idea was that ...

Microsoft’s Semantic Kernel SDK makes it easier to manage complex prompts and get focused results from large language models like GPT. At first glance, building a large language model (LLM) like GPT-4 ...