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Wherever machine learning exists, there is also the potential for broader artificial intelligence (artificial intelligence) The use of machine learning in applications is effectively a subset of artificial intelligence development, often used in the early stages of training models through algorithmic disciplines. As a result, machine learning stocks, while small, have the potential to be a major contributor to the future of AI development. As large AI-driven companies seek new technologies to incorporate into their products through their own software, machine learning stocks could become even more valuable than they are today.
For investors, these three machine learning stocks represent potential opportunities for an AI-driven future 15 to 20 years out. These stocks are not ones to invest in for short-term gains, as their uses are relatively niche and they are not on the radar of most analytics companies.
KVYO
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Focused on making marketing automation more intelligent, Klaviyo (New York Stock Exchange:KVYO) may be one of the best-kept secrets among machine learning stocks, and while automating marketing emails might not seem like cutting-edge AI technology, the data gained from understanding consumer responses to different types of direct marketing could be of general benefit to the company.
Recently, Klaviyo introduced three additions to its proprietary algorithmic model, Klaviyo AI. One of these, Flows AI, enables clients to leverage personalized ad campaigns and review audience sentiment. This comes at a critical time for many of Klaviyo's retail customers, as they've already begun ramping up preparations for Black Friday sales in November and the holiday season, which is less than six months away.
These powerful new services powered by Klaviyo's AI make the company's product the best tool for marketers because it allows them to analyze, interpret, and implement consumer data to gain a deeper understanding of their customers, improving their ability to generate and execute on ideas.
AMBA
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One of the biggest limitations in current models of AI training and machine learning is how these models incorporate new information and data. Ambarella (Nasdaq:Amba) recognized this contradiction and has dedicated itself to developing vision processing technologies for AI applications.
It may seem like science fiction, but Ambarella's product can map video and other visual data using grid coordinates in sequence and process it into a data format that AI can understand. This kind of technology is critical to bridging the gap between robots and the artificial intelligence needed to operate them.
The company has started to attract significant short interest, but some analysts remain bullish on the company's prospects, and some are interested to see how the startup will manage capital expenditures as it expands its technology offerings.
Duolingo (DUOL)
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A language-teaching green owl might not seem like the centerpiece of improving machine learning stocks, but… Duolingo (Nasdaq:Duol) is more than it seems, because the average number of accepted answers in a Duolingo translation exercise is over 200. In fact, for a long passage, it can be as high as 30,000.
This is an impressive statistic, achieved by the company applying machine learning to train its translation models and learn how to interpret correct translations. With this kind of unique software, DUOL could play a key role in the future of machine learning and AI training in its ability to recognize language patterns.
So the company could soon unlock new revenue streams by working with AI companies looking to create chatbots and large-scale language models that can learn language quickly while applying appropriate grammar and contextual rules.
As of the publication date of this article, Viktor Zarev did not hold (either directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed in this article are solely those of the author, subject to InvestorPlace.com copyright. Publication Guidelines.
On the date of publication, the editor in charge did not hold (either directly or indirectly) any positions in the securities mentioned in this article.
