As AI continues to transform industries, developing expertise in these emerging domains can help students and working ...
Genie Ontology aims to unify business definitions across systems, but analysts say data quality and governance will make or break adoption. First came vector databases, then RAG. Now, the next ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.
Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, access controls, audit trails, and semantic context.
As generative AI continues to mature, one question looms large: If foundation models are becoming increasingly powerful, where will the next wave of value creation occur? According to leaders from ...
Forward Deployed Engineers, or FDEs, have become one of the fastest-growing AI job roles worldwide. From OpenAI to Cognizant, ...
Applied Computing has raised a $20M Series A to build a foundation AI model for the oil, gas and petrochemical industry.
Enterprise AI is failing because companies are trying to deploy AI solutions on top of fragmented data, disconnected systems ...
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