By 2030, Gartner projects that 25% of IT work will be done solely by AI; the remaining 75% will be done by humans, but augmented by AI.
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Agentic capabilities with Voice AI are bounding forward, but there’s a sizable gap between pilot and production.
With vibe-coding, success depends less on actually writing code, and more on understanding how AI operates.
The system Nvidia wants to patent would spread out and balancing GPUs’ capacity to help avoid problems as demand ramps up in AI data centers.
Microsoft wants to patent a system to improve how an LLM writes code in response to requests. One step is learning to recognize good code.
From avatars’ face movements to audio enhancement, Google is seeking to patent methods for improving video calls.
Bloom Energy teams with Brookfield Asset Management to help cover a 75-gigawatt shortfall in US electrical power due to the AI boom.
Microsoft may want to lower the entry barrier to machine learning.
Companies are beginning to wake up to the potential pitfalls of filling jobs with AI rather than simply letting AI assist human workers.
Though AGI could have some enterprise viability, most businesses are better off with small models.
Companies are facing pressure on all sides to garner ROI from AI. Workers may be on the chopping block.
AI-powered coding has emerged as one of the best use cases for the powerful foundational models.
CIOs need to talk to their legal teams about AI “clarity, boundaries, and accountability,” one expert said.
Fractured ERP systems are “going to get fewer returns on your investment.”
“How does AI coexist and partner with humans?” says Saket Srivastava, CIO of Asana.
Information technology leaders want to give enterprises a “clear-cut path” to ROI.