Alexander Stannigelwww.alexander-stannigel.euBeiträge
Chronikbeitrag
Alexander Stannigel — hat zwei Artikel geteilt:Sonntag, 7. Juli 2024
Aktueller Stand zu Investitionen in «KI»: Geldverbrennung — KI-Anbieter verkaufen Produkte, die nie für die dabei gemachten Versprechungen entwickelt wurden.
«Businesses have become more cautious about investing in artificial intelligence tools due to concerns about cost, data security, and safety, according to a study conducted by Lucidworks, a provider of e-commerce search and customer service applications. ‹The honeymoon phase of generative AI is over,› the company said in its 2024 Generative AI Global Benchmark Study, released on Tuesday. ‹While leaders remain enthusiastic about its potential to transform businesses, the initial euphoria has given way to a more measured approach.›»
(…)
«One issue is that AI has not yet paid off for those trying to make it work. ‹Unfortunately, the financial benefits of implemented projects have been dismal,› the study says. ‹Forty-two percent of companies have yet to see a significant benefit from their generative AI initiatives.› And to realize meaningful benefits, it's necessary to move past the pilot testing stage, something few companies have managed. Only 25 percent of planned generative AI investments have been completed to date, the study says.»
(…)
«‹These initial costs are comparable in the grand scheme of things, but they're really just the tip of the iceberg.› According to Redman, security and accuracy, response alignment with policies, data acquisition costs, and keeping costs under control all need to be considered. ‹The bottom line is that ensuring AI security, accurate AI responses, and responsible data acquisition all come with a price tag,› said Redman. ‹Cutting corners in these areas can lead to inaccurate or inappropriate responses, which ultimately undermines the value and effectiveness of your AI implementation.›»
«As companies prepare to spend over $1 trillion on artificial intelligence, a Goldman Sachs report examined the big question at hand: ‹Will this large spend ever pay off?›»
(…)
«‹AI technology is exceptionally expensive, and to justify those costs, the technology must be able to solve complex problems, which it isn't designed to do,› Jim Covello, the head of Global Equity Research at Goldman Sachs, said in the report. ‹The starting point for costs is also so high that even if costs decline, they would have to do so dramatically to make automating tasks with AI affordable,› he added. ‹In our experience, even basic summarization tasks often yield illegible and nonsensical results.›»
Alexander Stannigel —
hat zwei Artikel geteilt:
Sonntag, 7. Juli 2024
