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There is widespread fear in the securities and finance sectors that using generative AI will force companies to rely on giant cloud companies.
Imagine a social network where every post and comment were digitally signed, permanent, irreversible, and verifiable, and where participants who created value were rewarded.
We’re still waiting for a trusted vendor to spare enterprises from the confusion and guesswork of artificial intelligence.
The Kubernetes open source project should serve as the blueprint for the way in which we develop, govern, fund, and support AI projects.
AI agents offer flexibility and autonomy as they plan and complete complex tasks that traditionally require human involvement.
Overspending on AI infrastructure by cloud providers has some forecasting an AI bust, but there are signs that enterprises are starting to put AI to work.
The schoolyard chaos at OpenAI could detract from corporate adoption of AI. Microsoft may be best suited to restore order and trust.
Humans, with our biases, fears, and comfortable habits, always put the brakes on revolutionary technology.
IBM is extending its quantum development software into a full stack that includes middleware, serverless functions, and AI coding assistance.
The inherent weaknesses of large language models are reason enough to explore other technologies, such as reinforcement learning or recurrent neural networks.
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