approach
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Blog
Here’s How You Should Approach It
Linux is flexible, but it can’t contort itself into a perfect Windows replica. Linux comes with its own set of pros and cons, and expecting it to behave like Windows will lead to disappointments. Instead, appreciate Linux for what it is, and you’ll understand why so many people love the Penguin OS. Why Linux Isn’t and Can’t Be a Drop-in…
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Migrating to enterprise voice: A strategic approach for modern businesses
The shift to hybrid work has pushed organizations to rely on a combination of phone systems, VoIP services, and various communication apps to keep their teams connected. This strategy can lead to integration challenges, however, leading to inefficiencies that hinder productivity and performance. These issues disrupt seamless communication between remote and in-office environments, making it difficult for companies to maintain…
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California Governor Newsom vetoes AI safety bill, arguing it’s ‘not the best approach’ – Computerworld
Additionally, Newsom has directed state agencies to engage with leading AI experts to develop “empirical, science-based trajectory analysis” for AI systems, with a focus on high-risk environments. He also announced plans to work closely with labor unions, academic institutions, and private sector stakeholders to explore the use of Gen AI technology in workplaces, ensuring that AI tools can benefit workers…
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Google Cloud claims first ROI on AI Agents approach – but is it enough to beat the competition?
Google Cloud has announced a range of new enterprise AI offerings, alongside the successful implementation of its existing AI agents for productivity and security gains across its enterprise suite. Organizations looking to streamline their customer-facing operations using generative AI now have a dedicated suite for this within Google Cloud, dubbed Customer Engagement Suite with Google AI. This end-to-end application combines…
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Why are so many AI projects destined for failure? Inexperienced staff, poor planning, and a shoehorned approach to agile development are all stifling innovation
AI projects fail because of technical challenges, people misunderstanding what’s possible, and agile development, according to research from the RAND institute. Research cited by RAND suggests as many as 80% of AI projects fail — that’s twice the rate of other technology projects and a serious problem for the industry given the costs involved with AI. RAND notes that the…
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