While 79% of organizations face AI data challenges, 92% are already using their data to train LLMs despite readiness concerns, Snowflake, Omdia found.

Just rebuilt in January, the AI agent now sports new  capabilities to further its move into what Gartner calls 'the AI ...

Data quality can become not just a problem to manage but a competitive differentiator as AI becomes increasingly embedded in ...

More complicated issues such as contract or billing disputes or logistics snafus amplify the work of coordinating customer ...

Snowflake and Omdia report that the intersection of business and data is a natural fit for generative AI investments.

Here’s a question I think worth pondering for customer experience (CX) leaders developing their artificial intelligence (AI) ...

In conversations with customers and vendors, a pattern has emerged in the AI adoption narrative — but customers should look ...

Factors like poor data management, governance and security, and a lack of training all contribute to slower generative AI adoption among knowledge workers.

Treat shadow AI as a security event with clear protocols to recover faster, educate employees and prevent future breaches.

Shadow AI tools can be helpful for productivity, but they may store or reuse user or corporate data, leading to data leaks ...