Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

Data is the lifeblood of modern enterprises. From gaining necessary insights into customer behavior and streamlining organizational processes to making effective business decisions, data is now a ...

In the first quarter of 2025, nearly 60% of DBTA subscribers told us they were actively researching GenAI with LLMs, including RAG and knowledge graphs. On top of this, when asked which technologies ...

For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered applications and agents. When Miqdad Jaffer, product lead at OpenAI, challenged ...

While many companies are interested in adopting a data fabric architecture, organizations don't realize that the essence of a true data fabric leverages embedded AI with a unified semantic layer for ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

In case you have engaged yourself in research relating to cryptocurrencies or blockchain, you would have definitely come across terms like layer one and layer two protocols. However, it is possible ...