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Now Meta is looking for ways to recoup the billions it has invested in Llama.
Explore the rise of agentic AI in this detailed case study. Learn how autonomous agents are transforming workflows, from design to implementation, and driving ROI.
According to a recent study, banks are increasingly relying on AI to remain competitive, as numerous factors slow digital transformations.
As gen AI use continues to skyrocket, reports of business benefits are trickling in. But we're also seeing more cases where the tech can actually create more work than it saves.
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.
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.
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.
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