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There is no shortage of genAI skepticism among enterprise CIOs, but the mountains of vendor hype make pushback difficult. Will the naysaying from these tech giants make a difference?
Google blazed the way for cloud-hosted office apps in the 2000s. Now it’s betting on generative AI to reshape the way we work. Here’s what businesses should know about Workspace, Google’s suite of productivity and collaboration apps
With new faster chips, NPUs and even specialized SSDs, the traditional PC is getting a big makeover to accommodate the needs of new generative AI tools.
Law firms and corporate legal departments overwhelmed by electronic documents are discovering that generative AI can streamline tasks previously handled by associate attorneys, often doing so faster and cheaper — but not always.
Like many law firms, Cleary Gottlieb relies on genAI to tackle a myriad of tasks, from combing through millions of electronic documents to automating workflows to creating a new business unit to offer genAI as a service.
EY launched its customized generative AI platform a year ago — at a cost of $1.4 billion — and the technology is already being used by 96% of its employees.
Checkr runs a background service to vet prospective hires for more than 100,000 businesses. To perform more than 1.5 million of those background checks, it needed an AI model that was accurate and fast, and found that small worked better than large.
The future of generative AI could rely on smaller language models for every application an enterprise uses, models that would be both more nimble and customizable — and more secure.
Here's what Apple Intelligence is, what tools exist (and when they'll arrive) — and a look at the history of AI at Apple.
Generative AI adoption is bound to eliminate some tech-related jobs over the next few years. But in addition to creating new efficiencies, it will likely help other roles become more productive.
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