441–450 of 711 posts
Many people shame the startups for fake it until you make it, but IBM with Watson and Watson Health did exactly that for years and 'serious' analysts were predicting how their healthcare AI efforts will increase their revenue. Compare their results with Tesla.
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Kindah like Palantir
Can you expand?
While they are just using tensorflow and other things like anyone else.
Additionally, large tech can't apply for defense contracts because of internal ethical concerns of employees. So the naritive remains.
I worked for a large e-commerce company. I wanted to investigate putting all our support data into Watson and see what sort of recommendations it could provide, maybe a sort of auto-suggestion to help our customers. Three really funny points stand out from the experience: 1) To apply for Watson access you needed to show C-level approval, so our CEO put his name and phone number on the application (trying Watson was s…
IBM is famous for charging people for the privilege of talking to them, even if you're trying to sell them something. This strategy makes sense if you consider that even in it's heyday Watson was 95% data science consulting firm and 5% actual valuable technology. I really think Watson is one of the biggest tech marketing bamboozles of the 21st century. Through Jeopardy they really had a segment of the business world…
I liked the documentary about it: https://m.imdb.com/title/tt0379296/
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> bedside manner + being able to remember a lot of things My impression is that accompanying a patient is super important, it helps to understand illness, to have a plan in case of more complex treatments, etc. Then my doctor has the ability to know me and gauge my health. She's also very good at probabilities and detecting when something really goes wrong. I'm sure that being able to do that require a lot more than…
What data is being collected on you? Once a year blood test if that even? I actually suspect it would be trivial to beat my doctor after 5 years of higher frequency full blood panel data collection. 10 full blood panel samples a year, have 20 million people do that for a data set we can do classification on. I think my doctor is kind of out of business then. Will never happen in my life though with health insurance a…
As someone doing a CS degree now, I seem to be the only one who doesn't want to have anything on my resume to do with "AI", blockchain, ML, NFT, chatbots, etc... all I see is overhyped product after product, one-size-fits all solutions that frustrate customers and create problems for humans to clean up, hugely valued companies that have very little real improvement over conventional technology, etc. An "AI chatbot" i…
There is way more real world usage of the distributed systems concepts and skills you'd learn there (especially in large tech companies) than any other flavor of the month. While ML is also commonly used in the industry, the signal:noise is really bad, because a lot of its uses are superfluous buzzword-driven development. However, many many companies rely on distributed systems to be able to operate at scale.
As someone doing a CS degree now, I seem to be the only one who doesn't want to have anything on my resume to do with "AI", blockchain, ML, NFT, chatbots, etc... all I see is overhyped product after product, one-size-fits all solutions that frustrate customers and create problems for humans to clean up, hugely valued companies that have very little real improvement over conventional technology, etc. An "AI chatbot" i…
Joining the hypetrain is a great way to get a bigger budget to play with.
AI chatbots are all about saving money and hiding the real customer service as much as possible, it's not about creating a nice experience.
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Can you expand?
It’s promoted as a complete system, but you end up paying them to build out the system to do whatever you wanted to do.