AI in the Enterprise
News, analysis, and insights for IT leaders navigating the risks and rewards of AI
November 11, 2024
AI coding agents come with legal risk
Developers using AI to write code may run afoul of copyright or licenses, exposing employers to lawsuits â a risk that will compound as AI-native software engineering takes hold.
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AI accelerating API development, IBM says
Generative AI is helping API teams complete projects faster, while APIs also are fueling the use of AI, company official says.
âJust-in-timeâ AI: Has its moment arrived?
Inserting generative AI into workflows at critical points can maximize its effectiveness, while minimizing the cost. Some CIOs are enthusiastic; others are skeptical.
AMD rolls out open-source OLMo LLM, to compete with AI giants
With over 1 billion parameters trained using trillions of tokens on a cluster of AMDâs Instinct GPUs, OLMo aims to challenge Nvidia and Intel in AI accessibility and performance.
UK launches platform to help businesses manage AI risks, build trust
The platform will offer guidance and resources, outlining steps for businesses to conduct impact assessments, evaluate AI systems, and check data for bias.
Microsoft joins multi-AI agent fray with Magentic-One
Magentic-One is a rival to multi-agent frameworks such as Salesforceâs Agentforce or IBMâs Bee Agent Framework for enterprises wanting to let AI complete complex tasks that are currently handled by humans.
Meta offers Llama AI to US government for national security
US government agencies and private sector partners can now use the Llama model, but many other restrictions on its use remain.
Making the business case for generative AI
The potential for generative AI to deliver a significant return on investment is being demonstrated by early adopters across various industries. My company provides one example.
What if robots learned the same way genAI chatbots do?
MIT researchers are pioneering a new method for robot training that could create an all-purpose robot brain for all robot types.
