![]() ![]() ![]() ![]() Therefore, these four specialized AI stocks that are worth buying now: That’s both because it takes much more time to gather and integrate the correct data points and because much more particular scenarios are involved. Obtaining and integrating sufficient quality data from a specific field to make a system that’s an “expert” in a certain area is way more complex. In that situation, the platform just has to be taught how to look for data patterns. That’s because an AI tool could likely be developed based on generalized data and concepts relatively quickly and inexpensively. The idea that Upstart’s product is more valuable makes sense. Founded in 2012, its operating income was nearly $22 million in 2019, almost $20 million in 2020, and, over the 12 months that ended in June, its operating income jumped to $80.7 million. Upstart has developed AI tools focused on determining whether borrowers are creditworthy. Palantir’s platforms seem to focus on integrating and analyzing data and finding outlying behaviors and scenarios, along with “unseen links,” in many fields. Palantir, after about 18 years of existence and despite generating nearly $1.1 billion of sales last year, still is pretty far from profitability its 2019 operating income was -$553 million and its 2020 operating income was -$1.17 billion Palantir’s AI appears to be based on generalized data, in the sense that it seems to focus on using all types of data from many fields Two stocks illustrate this point exceptionally well: Palantir (NYSE: PLTR) and Upstart (NASDAQ: UPST). Therefore, I recommend buying AI stocks whose companies have developed more particularized systems. Generally, it appears that companies that have developed artificial intelligence systems based on specialized data are better positioned than those with AI systems based on more generalized data. ![]()
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