3 Quiet Machine Learning Stocks to Buy Before AI Makes Them Famous

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Wherever machine learning exists so does the potential for broader artificial intelligence (AI) applications. That’s because machine learning is, in effect, a subset of artificial intelligence development and is often used for the early days of training a model through algorithmic disciplines. As a result, machine learning stocks are small yet potentially critical contributors to the future of AI development. Through their proprietary software, they may become even more valuable than they currently appear to be as large AI-driven companies search for novel technologies to incorporate into their products.

For investors, these three machine learning stocks represent potential opportunities for an AI-driven future 15 to 20 years from now. These are not stocks to invest in for short-term gains as they are relatively niche in their applications and fly under the radar for most analytical firms.

Klaviyo (KVYO)

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Focused on making the automation of marketing exceptionally more intelligent, Klaviyo (NYSE:KVYO) might be one of the best-kept secrets among machine learning stocks. While marketing email automation might not seem like cutting-edge AI technology, the data derived from understanding consumer responsiveness to various types of direct marketing could be generally lucrative for the company.

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Recently, Klaviyo introduced three additional features to its proprietary algorithmic model, Klaviyo AI. One such feature, Flows AI, enables clients to take advantage of personalized ad campaigns and review audience sentiment. This comes at a critical time for many of Klaviyo’s customers in the retail sector as they have already begun ramping up the preparations for November’s Black Friday deals and the broader holiday season, which is less than six months away.

Now these powerful new offerings from Klaviyo’s AI have turned the company’s product into a marketer’s best tool. That’s because the AI allows marketers to analyze, interpret and implement consumer data to deeply understand their customers. This improves marketers’ ability to generate ideas and execute them.

Ambarella (AMBA)

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One of the biggest limitations to the current model of AI training and machine learning is the way these models take in novel information and data. Ambarella (NASDAQ:AMBA) recognizes this contradiction and has dedicated itself to the development of vision-processing technology for AI applications.

While it seems like science fiction, Ambarella’s products enable visual data such as video to be sequentially mapped using grid coordinates and then processed into a data format that AI can understand. This kind of technology will be critical for bridging the gap between robots and the artificial intelligence needed to operate them.