Out From the Shadows: How to Protect Against Data Loss From Unapproved AI
In this video interview, Darren Williams with BlackFog discusses the risks associated with Shadow AI and how agencies can protect against them.
In this video interview, Darren Williams with BlackFog discusses the risks associated with Shadow AI and how agencies can protect against them.
Artificial intelligence (AI) can alleviate the frustrating parts of your job and augment your current abilities. But there are areas that should remain AI-free.
Public information — about road closures, meeting times, emergency responses, and other concerns — may be accurate, but AI’s interpretation of such communications may not be. Learn about one option to address the problem.
The future workforce challenge isn’t a talent shortage, it’s a pipeline design problem. As AI and cyber reshape work, organizations must shift from filling roles to building continuous, adaptive capability systems that produce decision-ready leaders at scale. Those who invest in integrated workforce pipelines today will define competitive advantage tomorrow.
Many people use artificial intelligence to help them compose work emails. AI may streamline that professional task, but there are drawbacks to relying on AI-generated messages.
In this video interview, Adam Clater, a Chief Architect at Red Hat, discusses how agencies can advance their AI maturity.
In the age of AI, leaders must be uniquely collaborative and strategic: Traditional management styles will not address employee unease with technology-driven change. Here are practical tips for AI implementation that a workforce can support.
Agentic AI offers capabilities beyond what earlier AI can do. But agentic AI’s autonomous nature amplifies an organization’s underlying data, governance and other weaknesses and requires a new IT mindset.
Artificial intelligence (AI) can be a significant time-saver at work, but there are drawbacks when using the technology to help write work-related emails.
In this video interview, Snowflake’s Adam Edelman explains how a unified data stack solves challenges and delivers on the promise of AI.