Posted on 03/04/2024 12:10:49 PM PST by RoosterRedux
NVIDIA Corporation NVDA surpassed the $2 trillion market capitalization last Friday as it continues to benefit from the robust demand for its next-generation chips for artificial intelligence models. This makes the graphic processing unit (GPU) maker the third publicly traded U.S. company, following Microsoft and Apple, which have a valuation of more than $2 trillion as of Mar 1.
It took NVIDIA around nine months to attain the $2 trillion milestone from the $1 trillion market capitalization as of Jun 14, 2023. The share price momentum, which started at the beginning of 2023 with NVDA stock soaring 239% in the year, has continued in 2024. Year to date, shares of the company have surged 66.1%.
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Though AI has been around for years, the meteoric rise of OpenAI’s ChatGPT has captivated the world’s attention on the power of generative AI to augment human capability, suggesting that the AI boom may just get started.
The growing demand to modernize the workflow across industries is expected to drive the demand for generative AI applications. The global generative AI market size is anticipated to reach $66.62 billion in 2024 and $207 billion in 2030, according to a new report by statista. The market is expected to expand at a CAGR of 20.8% from 2024 to 2030.
The adoption of ChatGPT among enterprises has already proven generative AI technology’s usefulness across multiple industries, including marketing, advertising, customer service, education, content creation, healthcare, automotive, energy & utilities and video game development.
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NVIDIA’s next-generation chips with high computing power can be the top choice for enterprises. The company’s CEO, Jensen Huang, had previously stated that existing data centers are insufficiently equipped to handle growing AI workloads.
(Excerpt) Read more at msn.com ...
NVDA closed at 822.79 Friday and hit a high of 876.95 today at 2:38pm.
What a steaming pant load of lies. I've dealt with scores of customer service AI interactive voice and chatbot systems and NOT ONCE have I gotten anything remotely useful from them. It used to be a human would answer the phone and you'd get an immediate answer. Now it takes 15 to 20 minutes to get to a human and then you get passed around two or three times until you get to the right person.
I've wasted more hours than I can count with the damn customer service AI.
The only "usefulness" is to the companies that fired most of their customer support people. It sure isn't useful to customers.
Has anybody here ever gotten anything useful from a chatbot or IVR system?
How do you know when your customer service call involves AI? And how do you know your experience is based on cutting edge AI and not some company’s substandard attempt to employ AI?
It really doesn’t matter, does it? It’s some version of a “smart” chatbot and IVR system. Like I said, I’ve encountered scores of them. That’s a pretty good sample size. Not one of them provided anything remotely useful. How many times do you need to hear “I can do things like tell you your balance”?
Maybe those are standard IVR trees, but the chatbots are all AI powered and they are no better.
I KEEP waiting for one of them to do something useful.
I've seldom had good customer service from anyone nowadays, AI or otherwise...so I certainly understand your frustration.
I just not sure if your or my personal experience with customer service AI is a good objective standard for predicting its future usefulness.
I take it that you don’t use AI regularly.
Just crazy. When I bought my first graphics card many years ago, an nVidia, I had never heard of them. It was a little niche company known mainly in gaming circles and I wasn’t a hardcore gamer. Today they are the world’s 3rd most valuable after Microsoft and Apple, and Jensen Huang is one of the world’s wealthiest.
No signs of stopping either.
NVDA has a huge beta and will plummet when the market takes a dive. And given that this is an election year, there will be downward spikes before November.
At this point, the growth of AI stocks seems misunderstood by most investors, economists, scientists, et al. It's complicated because it is a huge paradigm shift.
I regularly see articles screaming, "Everyone should bail on NVDA" right next to an article saying, "It's just getting started, this is a good time to buy."
“good objective standard for predicting its future usefulness.”
Agreed. But the article says that AI is proving its usefulness TODAY in a whole host of areas including customer service. I’m refuting that assertion by the author, not questioning whether it will be useful in the future.
I’m saying it is NOT useful TODAY in customer. In fact, my experience has shown it is hugely counterproductive. What used to take me ten minutes on the phone with a rep now always takes an hour or more because their systems are nothing but gatekeepers to keep you away from the few remaining people in customer support.
He doesn’t know, most of the systems in previous years that people call AI are nothing more than Contact Center systems with extensive menu systems, the voices you hear are employees or paid voice professionals that record fixed responses, and a voice recognition system tries to understand what the customer is saying.
Their latest PC video cards are going for over $800 and far beyond.
My PC gaming days are over..
Excellent point.
Nope. Don't have a ChatGPT account or any other AI account. I don't use it directly to solve problems. I'm not in the AI field.
I do read lots of articles and prognostications by "experts" which I find interesting and thought provoking, especially the "end of humanity" warnings.
I harken back to 1983:
And much farther back to the Turing Test (originally called the imitation game by Alan Turing in 1950) which tests a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.
David: Is this a game or is it real?
Joshua/WOPR: WHAT'S THE DIFFERENCE?
Do you think we are close to passing the Turing Test based on what we've seen so far?
I find it amazing that AI is playing a huge role in incredibly complicated areas like new drug discovery, disease diagnoses and battery electrolyte chemistry, but it cannot crack the customer service conundrum.
I like my NVDA stock ;-)
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