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Developers using AI to write code may run afoul of copyright or licenses, exposing employers to lawsuits — a risk that will compound as AI-native software engineering takes hold.
Magentic-One is a rival to multi-agent frameworks such as Salesforce’s Agentforce or IBM’s Bee Agent Framework for enterprises wanting to let AI complete complex tasks that are currently handled by humans.
Generative AI allows people across the organization to source innovative technological solutions to meet increasing business challenges. But someone must ensure democratization doesn’t lead to disorder, and that person is likely the CIO.
US government agencies and private sector partners can now use the Llama model, but many other restrictions on its use remain.
Generative AI (genAI) applications thrive on relevant, accurate, and highly accessible data, but preparing that data can be complex, and it’s far from a ‘one-and-done’ process.
AI is shaking up business as usual in the cloud, with new alternatives, increased data center commitments, and cost management taking center stage.
CIO Paul Beswick overhauled the firm’s IT strategy and organization to establish tech capabilities across four business units, including a homegrown AI copilot at ‘1% of what it would cost’ to license Microsoft’s.
While vendors say their current agentic AI-based offerings are easy to implement, analysts say that’s far from the truth.
AI tools vs. solutions: IT leaders should embrace AI tools, such as copilots and assistants, to help employees get comfortable with more complex and impactful AI solutions, researchers say.
Fast changing technologies like gen AI present new complexities for stakeholder management. Some of the strategies that worked before are now recipes for disaster, leading CIOs to adopt a more holistic approach.
Use this approach to identify a consensus-based set of gen AI use cases that focus on both tactical and strategic opportunities for your implementation roadmap.
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