Software architects face an important technical problem when they must decide how to best interact with backend database systems. The decision often comes down to the Hibernate vs. JDBC debate, as the ...
Map processes and drive continuous improvement to optimise operations and reduce costs. Define and support BI solutions with IT, ensuring alignment with business needs. Present insights and engage ...
These new capabilities could help CIOs reduce the complexity of deploying AI agents into production, analysts say.
Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business ...
Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind ...
Trust3 AI today announced an integration with the Snowflake AI Data Cloud designed to strengthen governance for enterprise AI agents, improve access control for Model Context Protocol (MCP) servers, ...
Cyera, the AI Security Platform built for the age of agents, today announced at Snowflake’s annual user conference, Snowflake ...
The IT teams getting the most out of AI agents right now are the ones who did the unglamorous work of mapping their processes ...
AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes.
Actian’s Ole Olesen-Bagneux explains why AI agents need metadata, lineage, context, and governance before enterprises can ...
Fortinet’s FortiClient endpoint management software, meant to harden corporate and government machines, instead exposed them ...