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Generative AI is helping us churn out vastly more content at remarkable speed, when what we really need is better content. It’s up to humans to put the focus on quality and value.
The push to adopt generative AI in the cloud will lead to new roles and needed skills, and enterprises will likely pay top dollar.
No one doubts the power of AI, but enterprises must realize it can also lead to deploying too many applications, scaling problems, and cost overruns.
Apple has been innovating with AI for a long time, but it focuses on the magic of the user experience, not the tech. There's a lesson here, especially since GenAI isn't always the right tool.
The powerful capabilities of ChatGPT are being used against enterprise systems. Malicious packages and AI hallucinations are a few of the growing threats.
Everyone loves to use new technology, but sometimes it’s counterproductive. Business case should drive technology choices, not the other way around.
Get ready for the rush of generative AI applications heading your way in 2024, but watch out for the size of the bill. Who is going to pay for it?
What do ChatGPT and other large language models owe to the human creators who provide the information they train on? What if creators stop making their insights publicly available?
When the goal is accuracy, consistency, mastering a game, or finding the one right answer, reinforcement learning models beat generative AI.
Deep tech aims to advance technology in areas ranging from biotech to semiconductors to AI. Is it the next big thing in tech?
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