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The hype over genAI and associated AI tech is waning, leading companies to seek concrete returns for their investments.
It’s all a matter of understanding how your business can benefit from generative AI tools and platforms. But first, you need to make some difficult decisions — and then hope genAI doesn’t self-destruct.
Organizations increasingly watch employees to monitor productivity. New rules in the UK could turn that idea on its head.
AI spending is expected to grow by nearly 30% a year over the next four years, driven mainly by embedded tools and genAI, according to research firm IDC.
Getac sees technology as a tool that can help achieve gender parity while ensuring the women in its network receive maximum opportunities to thrive.
How can CIOs tell customers what data is being collected about them and how it is being used if the CIOs themselves don’t know exactly what their genAI tools are doing?
In this issue: It’s been decades in the making, and it got a no-turning-back boost from the COVID-19 pandemic. “It” is the digital workplace, the combination of work-anywhere remote access, internet- connected computers and mobile d
Even as companies race to roll out generative AI tools to be more competitive and productive, several hurdles are leading to pilots being abandoned.
The tools we use are becoming less important than the task at hand.
AI and automation may help enterprises transition to four-day workweeks by promoting asynchronous work, optimizing the exchange of information, and minimizing low-level tasks.
In many ways, the rush to try out still-evolving generative AI tools really does feel like the Wild West. Business execs need to slow things down.
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