Despite the initial hype, the adoption of Generative AI has been slower than expected due to challenges in implementation and unrealistic expectations. Companies are finding that Generative AI is not a one-size-fits-all solution, leading to a 'trough of disillusionment.' Concerns include data readiness, cost, and environmental impact.
Grumbles about generative AI's shortcomings are coalescing into a "trough of disillusionment" after a year and a half of hype. https://t.co/2tzVBw6dH6
With AI holding both promise and peril, the challenge for companies across all sectors will be to temper the instinct to race ahead with appropriate caution https://t.co/upxRJpyyyY https://t.co/0G0EnMjTSf
AI is in a new hype cycle, but all the excitement is drowning out the voices talking about risks and potential harm. @dvorakchick shares what it takes to develop AI responsibly: https://t.co/KPstSzqFk1
“Chatbot letdown: Hype hits rocky reality” by @inafried @axios “It's easy to say, 'Oh, we're just a few months away,'" Marcus said. "I don't think that we are in this particular case. Not because I don't think AI or AGI is impossible, but just because [this] particular…
“.. Gary Marcus — a scientist who penned a blog post last year titled ‘What if Generative AI turned out to be a dud?’ — tells @Axios that, outside of a few areas .. companies have found generative AI isn't the panacea they once imagined.” @inafried https://t.co/PHj67A6p5S https://t.co/iXv7XP38i4
While AI is still changing the world, hurdles like cost and environmental impact are becoming more pronounced. • A year ago, boards were pressuring CEOs to find ways to adopt generative AI as quickly as possible. Now, many are finding that promising early experiments have… https://t.co/p3BKob2Kky
Curious about the concerns surrounding AI? Explore this insightful article by Bea Wohl, 'Are We Worrying About the Wrong Things When It Comes to AI?' Let's shift the conversation and delve deeper. #AI #Technology #PerspectiveShift https://t.co/2M8B3ymefg
The #AI experts who believe the AI boom could fizzle out "Companies are starting to temper their expectations. Many initial expectations were unrealistic." ~ @garymarcus https://t.co/GDImbivL6I #GenerativeAI #ArtificialIntelligence
New research reveals organisations face hurdles in data readiness for generative AI implementation. Read about it below. https://t.co/6hcH6W1DPT #Tech | #News | #GenAI
Despite the hype surrounding #GenAI, actual adoption has been slower than many have anticipated. The reason is simple: despite its transformative potential, the tech isn't exactly plug-and-play, making it difficult to identify a specific business use. https://t.co/RrpQutbAIY