Laden...
AI in the Enterprise
News, analysis, and insights for IT leaders navigating the risks and rewards of AI
May 19, 2025
4 goals to target when building AI skills
IT leaders who are serious about preparing their organizations for AI should deliver training that targets a specific set of outcomes.
Read more
How to establish an effective AI GRC framework
To get the most from artificial intelligence without falling prey to the risks, your company must implement a governance, risk, and compliance (GRC) framework specific to AI. Hereâs how to develop a corporate policy that works.
New agentic AI tools bring new threat: agent sprawl
Vendors are lining up to offer enterprises tools to create AI agents for a plethora of different tasks â but itâs time to think about managing them.
What âcloud firstâ can teach us about âAI firstâ
The rush to the cloud was an expensive experiment for many. AI could be a repeat without careful evaluation and planning.
GenAI companies go granular with open-source models for agents
Microsoft, HubSpot, and ServiceNow are among the companies turning to smaller, more targeted LLMs as they push further in agentic AI.
Does agentic AI spell doom for SaaS?
The fear is that AI agents will kill off SaaS. Nothing could be further from the truth.
Deepfake attacks are inevitable. CISOs canât prepare soon enough.
Security leaders must develop a multi-layered strategy to defend against deepfake voice and video attacks, which experts expect to increase quickly in volume and effectiveness.
Q&A: Ernst & Young exec details the good, bad and future of genAI deployments
GenAI is netting organizations big efficiencies and potential cost savings, but many are still reluctant to fully release the tech from the barn. Some business units and verticals will benefit more than others, but one tech marriage could send AI soaring.
Google to unveil AI agent for developers at I/O, expand Gemini integration
The enterprise AI market is becoming an intense battleground for cloud giants racing to define the future of workplace productivity.
CDAOs might be key to genAI success now â but that could change
Chief Data & Analytics Officers are crucial to AI success, but by 2027, 75% of those who don't prove their value in AI leadership could lose their C-level role, Gartner warns.
© 2025
