Artificial Intelligence Stocks To Follow Now - October 21st

MarketBeat

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Key Points

  • MarketBeat highlights five AI stocks to watch: Hut 8 (HUT), Tempus AI (TEM), SentinelOne (S), Appian (APPN), and SoundHound AI (SOUN). These stocks were chosen because they had the highest recent dollar trading volume among AI-related stocks.
  • The companies use AI in different ways, including data centers and computing, personalized healthcare, cybersecurity, low-code software automation, and voice-based AI.
  • AI stocks may offer growth as the industry expands, but they also carry greater risks because of high stock prices, strong competition, regulations, and fast-changing technology.
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According to MarketBeat's stock screener, Hut 8, Tempus AI, SentinelOne, Appian, and SoundHound AI are the five artificial intelligence stocks to watch today. AI stocks are shares in publicly traded companies that develop, provide, or make significant use of AI technologies. These technologies include machine learning, data analysis, robotics, and hardware and software designed for AI. Investors may find growth opportunities as the AI industry expands, but these stocks can also carry greater risks because of high valuations, strong competition, regulations, and rapid changes in technology. These five companies had the highest dollar trading volume among AI stocks over the past several days.

Hut 8 (HUT)

Hut 8 Corp. and its subsidiaries buy, build, manage, and operate data centers in the United States. These centers support digital asset mining, computing, and artificial intelligence. The company has four business segments: Digital Assets Mining, Managed Services, High Performance Computing Colocation and Cloud, and Other.

Read Our Latest Research Report on HUT

Tempus AI (TEM)

Tempus AI Inc. is a technology company that uses artificial intelligence, mainly in healthcare, to advance precision medicine. It provides doctors with AI-powered tools to help them give patients more personalized care. At the same time, the company helps researchers discover, develop, and deliver the most suitable treatments.

Read Our Latest Research Report on TEM

SentinelOne (S)

SentinelOne, Inc. provides cybersecurity services in the United States and other countries. Its Singularity Platform uses artificial intelligence to automatically prevent, find, and respond to security threats. It protects an organization's computers and other devices, cloud-based systems, and identity credentials. This helps the platform provide automatic protection against many types of cyber threats.

Read Our Latest Research Report on S

Appian (APPN)

Appian Corporation is a software company that provides a low-code development platform in the United States, Mexico, Portugal, and other countries. Low-code tools let people build software with less hand-written code. The company's platform includes artificial intelligence, process automation, data fabric, and process mining. The Appian Platform brings these tools together so organizations can design, automate, and improve important business processes.

Read Our Latest Research Report on APPN

SoundHound AI (SOUN)

SoundHound AI, Inc. develops voice-based artificial intelligence tools that businesses can use in cars, televisions, Internet of Things (IoT) devices, and customer service. These tools help businesses offer customers high-quality conversations with AI systems. Its products include the Houndify platform, which gives brands tools to build voice assistants. These tools include application programming interfaces (APIs) for text and voice questions, support for custom commands, a large collection of content areas, software development kits, collaboration features, diagnostic tools, and built-in data analysis.

SoundHound Chat AI connects with different sources of information to provide real-time details, such as weather, sports, stock prices, flight status, and restaurant information. SoundHound Smart Answering is designed to give businesses customer service voice assistants powered by AI and tailored to their needs.

Read Our Latest Research Report on SOUN

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