Investors interested in the potential of machine learning to drive financial gains should pay attention to three key players in the market. While the term artificial intelligence (AI) has gained popularity lately, the focus is shifting to machine learning and its impact on data analytics and targeted information searches.
International Business Machines (NYSE:IBM) has been a pioneer in machine learning technology, with its Watson AI models leading the way. The company’s latest platform, Watson Studio, aims to empower developers to create their own AI solutions through machine learning training. This collaborative approach enhances the efficiency of machine learning structures, making IBM a promising investment in the machine learning sector.
Microsoft (NASDAQ:MSFT) is leveraging its Azure business section to offer machine learning models as a service, targeting revenue growth in the data analysis and AI training space. With a vast user base and substantial data resources, Microsoft is well-positioned to provide scalable AI solutions for enterprises while improving its own products through customer data.
Alphabet (NASDAQ:GOOG, NASDAQ:GOOGL) has quietly played a significant role in the machine learning community with TensorFlow, a widely-used programming tool for building AI applications. While Alphabet does not directly profit from TensorFlow, the software’s popularity gives the company a strategic advantage in acquiring developers and collaborating on future projects. Coupled with a projected revenue of $340.61 billion in 2024, Alphabet remains a strong contender among machine learning stocks.
Investors looking to capitalize on the growing trend of machine learning should consider these three companies for their potential to drive innovation and profitability in the AI sector.
