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Nishant Kumar Behl at OneAdvanced highlights that experimentation with AI enables leaders to navigate uncertainty, evolve their strategies, and unlock its full potential while blending human and machine capabilities.
Copyright: business-reporter.co.uk – “AI: Success Through Experimentation”
At the same time, we are seeing case studies that spotlight AI’s unexpected and sometimes humorous errors – think about Amazon Alexa automatically ordering a $170 dollhouse and four pounds of cookies after a child asked the AI assistant about these products at home.
Cases like this can diminish confidence in this technology, opening a can of worms for more safety concerns, stringent regulations and deployment delays. Despite AI’s generally reliable outcomes, occasional errors draw disproportionate scrutiny, setting an unrealistic expectation for flawlessness.
This focus on the negative partly explains why nearly 80% of AI initiatives fail within their first year. The recent buzz around AI, and GenAI specifically, has inflated expectations, leading to disappointment when these standards are left unmet.
The flawed perfection of technology
Many indispensable software tools we rely on contain glitches, which are a natural part of code development. The internet is filled with resources to assist users in navigating bugs in popular office software by Apple and Microsoft, and this has become commonplace. Given our tolerance for issues in everyday software, why do we demand perfection from AI?
Fear is a significant factor, with concerns that AI could outperform humans, potentially making us redundant. For instance, while the legal sector shows a strong inclination towards adopting AI, the education sector appears to have more reservations.
The crucial thing to remember is that technology has the potential to outperform human intelligence.[…]
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Der Beitrag AI: Success Through Experimentation erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.
