More than 80% of corporate AI projects never make it out of the pilot phase or fail to deliver measurable value once deployed, according to RAND research. This failure rate is two times higher than ...
We are living through one of those rare moments when an entire industry cycle is being reimagined. Like the internet revolution of the 1990s, artificial intelligence is fundamentally reshaping how ...
This week - agentic project success and failure gets defined. Meanwhile, diginomica research has your AI versus SaaS data ...
The AI project lessons are boiling over - but so is the agentic AI keynote hyperbole. How will customers find their way? Grab ...
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...
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Why more than half of AI projects could fail in 2026
In 2025, to borrow a phrase: the AI revolution is already here; it's just not evenly distributed. While individuals are seeing productivity gains from LLMs or newer agentic systems, larger projects ...
When ChatGPT first launched and went viral, some common sentiments around the tool were that it was a shortcut to doing real work. Anybody could type in a few sentences and get text back that they ...
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Why your AI projects keep failing
Virtually every organization is trying its hand at AI, yet very few are seeing the payoff. Despite massive investment, most organizations aren’t seeing the results they were hoping for. According to ...
The Internal Revenue Service's efforts to leverage artificial intelligence are running into obstacles due to the severe cuts ...
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