Search Results for: forecasting

… com/why-does-facebook-make-so-much-more-money-per-user-versus-snapchat-or-twitter/
https://money.com/how-much-facebook-makes-off-you/
https://digiday.com/marketing/facebooks-making-money-per-user-north-america-ever/
https://mondaynote.com/mark-zuckerberg-thinks-were-idiots-638c64dfab12
https://www.brightworkresearch.com/scmfocuspress/forecasting/promotions-forecasting/
https://www.theverge.com/2019/8/9/20798900/marvin-minsky-jeffrey-epstein-sex-trafficking-island-court-records-unsealed
https://web.media.mit.edu/~minsky/
https://en.wikipedia.org/wiki/Marvin_Minsky
https://en.wikipedia.org/wiki/Artificial_neural_network
https://www.scribd.com/article/401160340/Stop-Saying …

… on yesterday’s temperature in City B. I could use yesterday’s temperature in City A, but that wouldn’t be knowledge discovery, would it?
A mindless data mining program (and all data mining programs are mindless) might conclude that this is a knowledge discovery of a useful tool for forecasting the weather in Curtin. A mindful human would think that it is preposterous to think that the best way to forecast the low temperature tomorrow in a town in Australia is to look at the high temperature today in a town in Washington.
With modern computers, it would be …

… much recent AI research. 
As a brief comment, AI research in this third AI bubble has been mostly around neural networks/deep learning, with a revival of other forms of old machine learning techniques placed into “new bottles,” which constitute most of the parts of AI that are concentrated on forecasting, combined with data mining for the development of causal forecasting methods.
These are all investments in narrow, weak AI solutions and the opposite of Marvin Minsky’s proposal of generalized intelligence or strong AI.
The quote continues and draws this distinction to strong AI, or what might be called …

… around AI by companies and consulting firms is not reliable or is exaggerated due to the profit motive. Brightwork Research & Analysis is a research entity that has no incentive to either promote or minimize these topics. We have worked with many of the things we cover, from things ranging from forecasting to speech to text, but aside from usage, the author is bringing a researcher’s scalpel to these topics.
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Conclusion
There is little fact checking in the area of AI, Data Science, Big Data. This allows vendors to make any claim they want and must be …

… more clear for SI and a Client. There was a clear understanding of what should be implemented. It was possible to enumerate everything: purchase orders, invoices, debtors etc. With AI nobody can estimate the functional gap. Just try to answer what number of developers you need for “The analysis and forecasting model provided as a web service is integrated into some system” and how fast everything will be done. Basically everything we can do in the AI area is to set together with a customer, and say – “Let’s dream together”.
Something to remember is that AI became a significant …

… that monitors traffic flow adjusts traffic lights when needed. – Columbia.edu
None of these things were necessary when fewer cars were on the road, and the transportation infrastructure in cities was more in line with demand.
Will AI change the level of congestion?
Climate Change Can Be Mitigated With Weather Forecasting?
AI and deep learning are also improving weather forecasting and the prediction of extreme events. That’s because they can incorporate much more of the real-world complexity of the climate system, such as atmospheric and ocean dynamics and ocean and atmospheric chemistry, into their calculations. – Columbia.edu
It …