What’s The Buzz? AI Stocks On The Move (AI, EPAZ, STRC, PLTR, NVDA)

As the field of artificial intelligence continues to rapidly evolve and expand, investing in AI companies has become an increasingly attractive opportunity for investors to capitalize on the growing industry.

There are two main methods used by businesses to use artificial intelligence. Many large tech companies use AI to make their existing operations more powerful, such as through high-profile applications like robotics, self-driving cars, and virtual assistants.

Some companies also profit directly from AI by selling the hardware, software, services, or expertise that the technology needs.

According to Grand View Research, the global artificial intelligence market size was valued at USD 136.55 billion in 2022 and is projected to expand at a compound annual growth rate of 37.3% from 2023 to 2030, making these next few years pivotal in the growth of the sector.

With the AI market already large and still growing quickly, plenty of companies can profit from AI. Although picking stocks in a growth industry comes with a lot of uncertainty, these AI stocks are all worth considering.

One stock investors should take a look at is EPAZ. Epazz Inc. (OTC: EPAZ) is a mission-critical provider of drone technology, blockchain mobile apps, and cloud-based business software solutions.

A few weeks ago, EPAZ detailed an update regarding the ZenaDrone lineup. The company announced that the aerial technology used by ZenaDrone 1000 from EPAZ will soon receive an update to its artificial intelligence (AI) predictive automation software.

ZenaDrone Inc., a spinoff of Epazz Inc. Holdings, is a manufacturer of multipurpose drones equipped with machine learning systems, multispectral sensors, and AI technology.

The data gathered by ZenaDrone's cameras is used to build an interactive 3D environment. According to the update, the ZenaDrone team will employ predictive AI analytics, or "predictive modeling," a type of analysis that employs methods and resources to create predictive models and make predictions of future outcomes based on acquired data.

Following the updates, EPAZ announced that the company is submitting over five Phase I proposals to the U.S. government under its SBIR Phase I program. SBIR Phase 1 allows small businesses with innovative products to receive US government contracts within 90 days of submission.

If ZenaDrone is awarded a Phase I contract worth up to $75,000 per proposal, EPAZ will then be in a position to submit for Phase 2 contracts, worth up to $1.2 million per contract.

ZenaDrone will gain the ability to be listed as the sole source supplier of its technology, which would allow the U.S. government to purchase the ZenaDrone 1000 without a bidding process.

CEO Shaun Passley, Ph.D., said, "We are working towards our first government contract using multiple avenues, which will hopefully lead to our first set of government customers, and through The SBIR would open us up to the whole federal government for our drone technology."

The possibility of higher returns exists for more seasoned investors or those who don't mind taking on risk on the OTC markets. For investors interested in the high tech and AI sectors, EPAZ offers an attractive play, with competitive technology that the company continues to improve and invest in.

Another company that is leveraging the use of AI in its products is C3.AI (NYSE: AI), which operates as an enterprise artificial intelligence (AI) software company and offers the C3 AI application platform.

The C3 application platform is an application development and runtime environment that enables customers to design, develop, and deploy enterprise AI applications.

Additionally, it provides integrated turnkey business AI applications for industries including oil and gas, chemicals, utilities, manufacturing, financial services, defense, intelligence, aerospace, healthcare, and telecommunications. The company’s AI solutions are applicable across multiple industries, which gives it an advantage and makes it a promising long-term investment option.

On February 21, C3.ai announced that its expanded collaboration with Amazon Web Services is aimed at leveraging the power of AI to help customers in industries such as defense and intelligence tackle their most pressing business challenges.

As part of this collaboration, C3.ai will integrate its AI applications, including C3 AI Law Enforcement, with AWS services such as Amazon Comprehend.

C3.ai reported impressive financial results in its previous fiscal quarter. The company’s revenue increased 7% year over year, reaching $64.2 million. Subscription sales grew by 26% to $59.5 million in the previous quarter.

Keep an eye out, as this AI stock seems to be trending in the right direction.

Sarcos Technology and Robotics Corporation (NASDAQ: STRC, STRCW) designs, develops, and manufactures a broad range of advanced mobile robotic systems that are designed to enable the safest and most productive workforce in the world.

Sarcos robotic systems include baseline software enabling basic controls, teleoperation, and semi-autonomous capabilities. Sarcos will provide additional software options, such as supervised autonomy, as an incremental service.

Sarcos' supervised autonomy framework uses multi-modal sensor data to optimally perceive, interact with, and conceptualize unstructured environments.

The company’s advanced, success-based AI enables human workers' flexibility, creativity, and improvisation skills to deliver improved workflow performance and safer interactions between humans and machines for jobs in unstructured environments. In addition, Sarcos intends to offer its software solutions separately for sale or license.

Drew Hamer, CFO of Sarcos, said, “We see strong demand to purchase Sarcos robotic systems." "We expect to sell solutions for specific markets and use cases based on our customers' needs and applications.”

STRC recently announced their preliminary fourth quarter 2022 revenue of $6.1 million and full year 2022 revenue of $14.6 million, each at the high end of their guidance range.

The market for robotic security is predicted to expand in the coming years and could reach $71.8 billion by 2027. Keep STRC on your watchlist as the sector continues its growth.

Palantir Technologies (NYSE: PLTR) builds and deploys software platforms for the intelligence community in the United States to assist in counterterrorism investigations and operations.

Palantir Gotham, a software offered by PLTR, enables users to identify patterns hidden deep within datasets, ranging from signals intelligence sources to reports from confidential informants, and facilitates the handoff between analysts and operational users, helping operators plan and execute real-world responses to threats that have been identified within the platform.

It also offers Palantir Foundry, a platform that transforms the ways organizations operate by creating a central operating system for their data and allowing individual users to integrate and analyze the data they need in one place.

In addition, the company also has its Palantir Apollo software, which allows customers to deploy their own software in virtually any environment.

PLTR rose last week after posting its first profit of 4 cents a share, albeit non-GAAP. The company earned $31 million on a GAAP measure, or a penny a share.

PLTR is closer to reporting GAAP profitability this year due to strong cost control, showing a marked improvement in its business fundamentals.

Palantir was able to report a positive GAAP net income in the past quarter and is guided to have a profitable year in 2023; previously, it was not expected to reach breakeven until 2025.

One of the top companies in the AI sector right now, would be Nvidia (NASDAQ: NVDA). Nvidia provides software development tools to build artificial intelligence applications.

For its fiscal fourth quarter, NVDA outperformed Wall Street expectations thanks to an 11% increase in data center chip sales to $3.62 billion, driven by cloud service providers' investments in artificial intelligence technology.

Nvidia has taken advantage of the AI boom, because its graphics cards are becoming the de facto standard in data centers around the world.

The initial stage of machine learning, known as "training," requires an immense amount of computing power; the subsequent stage, known as "inference," requires less. Both phases however; are well supported by graphics processing unit (GPU) chips produced by NVDA, which are typically used for rendering video games.

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