Data platforms make decisions all day. An SQL query keeps the rows over a threshold, matches a keyword, and joins two tables on a shared ID. A pipeline sends a failed job down a retry path. Rules like ...
Your model will keep getting better at writing SQL. To make it trustworthy, nail down the access rules before tuning for ...
Even as large language models have been making a splash with ChatGPT and its competitors, another incoming AI wave has been quietly emerging: large database models. Even as large language models have ...
Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...
A multimodel database is a data processing platform that supports multiple data models, which define the parameters for how the information in a database is organized and arranged. Being able to ...
Early in 2022, two Microsoft Cloud Solution Architects introduced a new pilot approach for exporting Dynamics 365 Business Central data for analysis using Azure Data Lake and Azure Synapse Analytics.
One decision many enterprises have to make when implementing AI use cases revolves around connecting their data sources to the models they’re using. Different frameworks like LangChain exist to ...
As more organizations embrace big data and analytics to gain insight from extremely large datasets, the tools and systems used to manage data have grown, changed, and multiplied. Instead of just ...
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