Enterprise cloud teams are hitting barriers to scaling and resilience as AI-driven workloads surge, according to a new report from ControlMonkey.
A recent global study found that while the adoption of artificial intelligence continues to expand rapidly across industries, a misalignment between perceived trust in AI systems and their actual trustworthiness is limiting business returns.
The most concerning issue with artificial intelligence may not be in the tools themselves, but in how quietly they're being used without oversight.
Artificial intelligence startup Lemony has launched a hardware-based device designed to enable enterprises to run generative AI systems on premises without relying on the cloud.
Microsoft has added Anthropic's Claude artificial intelligence models to its Microsoft 365 Copilot platform, giving enterprise users another option beyond OpenAI's models for powering workplace AI experiences.
Cloud infrastructure is central to the shift from AI experimentation to AI integration, according to a new report from Cloudera on enterprise AI adoption.
Through a new partnership with Google for Education, Rice University is expanding access to generative AI tools for all faculty, staff and students.
Google has announced the public release of its Data Commons Model Context Protocol (MCP) Server, a tool designed to make the company's extensive collection of public datasets more accessible to AI developers and data scientists.
Academic environments face heightened risk because their collaboration-driven environments are inherently open, making them more susceptible to attack, while the high-value research data they hold makes them an especially attractive target. The question is not if this data will be targeted, but whether universities can defend it swiftly enough against increasingly AI-powered threats.
McGraw Hill has expanded its lineup of ALEKS digital learning products with ALEKS for Calculus, bringing AI-powered personalized learning support to the calculus classroom.