Analyst Dave Schubmehl speaks with No Jitter about agentic AI and what organizations should know when implementing this tool.

Increasingly, customers can buy work rather than access to the software used to do it. This changes what customers buy and ...

What happens when an AI agent outlives its project, retains access after its owner leaves, or becomes embedded in obsolete ...

Users can interact with enterprise customer data through Claude — and Salesforce has handed its interface, user workflow and ...

Four new products aim to govern agentic capabilities in Genesys Cloud, and Genesys also updated its own virtual agent.

Collaboration between IT and business teams is important for AI success, according to a recent Alteryx study of 1,400 IT ...

Issues with data security/governance, AI trust, system integration, poor data quality and skill gaps limit agentic AI ...

Semantic search sifts through unstructured data to find information based on context and intent rather than keywords.

"Legacy data was never built to be verified at scale, which AI requires. It was built to run one system, for one purpose, ...

Today, that means many are familiarizing themselves with the idea of AI orchestration — what it is, how to implement and how ...

Salesforce in Claude leverages Anthropic’s models to help knowledge workers more easily unlock insights from business data.

Most companies have deployed AI for various CX-centric use cases, but real gains may prove elusive without properly tagged ...