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AI in the Enterprise
News, analysis, and insights for IT leaders navigating the risks and rewards of AI
March 31, 2025
Are we creating too many AI models?
When training an LLM has enormous costs and environmental impact, itâs worth asking what we gain by creating another oneâespecially if it isnât that different from other models.
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AI culture war: Hidden bias in training models may push political propaganda
Some AI experts warn that DeepSeek has the potential to secretly spread cultural and political bias on behalf of the Chinese government.
Kyndryl extends Google Cloud partnership for AI-based mainframe modernization
Kyndryl/Google Cloud service offers customers Generative AI-driven help to migrate mainframe applications to cloud.
Former Arista COO launches NextHop AI for customized networking infrastructure
NextHop AI takes on hyperscale networking challenges with $110 million investment and former Arista COO at the helm.
Microsoft's newest AI agents can detail how they reason
The companyâs new Researcher and Analyst agents show their homework in real time by explaining how they reach conclusions.
3 steps to get your data AI ready
Most IT leaders will find it impossible to increase their adoption of AI with the data management practices they have in place now.
Otter.aiâs voice-activated AI agent can answer questions during online meetings
The new âOtter Meeting Agentâ activates a voice agent when called upon, understands questions, and pulls data from the internet or internal documents.
88% of AI pilots fail to reach production â but thatâs not all on IT
Unclear objectives, insufficient data readiness, and a lack of in-house expertise are sinking many AI proofs of concept. So too are zealous POC greenlighting and misguided pressure from the top.
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