What’s The Difference Between Machine Learning And Artificial Intelligence, Anyway?

 - Artificial intelligence is the ability of a computer to handle complex tasks such as learning and problem-solving

- Machine learning is a computer application using artificial intelligence to find patterns and trends in complex data sets without human instructions

- The trend of AI and ML in business and beyond will likely accelerate as public AI websites and tools draw attention to potential uses

If you pick up your phone and open a news app today, you’re likely to come across some mention of artificial intelligence (AI). While the team at Q.ai has been working hard at using AI to manage investments for years, new developments like ChatGPT and Dall-E are captivating computer users of all backgrounds.

If you don’t know exactly what artificial intelligence means and how it differs from the related machine learning (ML) technology, here’s a closer look at what you need to know about them when searching for profitable investments.

What is artificial intelligence?

The phrase artificial intelligence likely brings up images of sci-fi movies where space-ship-controlling computers or robot maids turn violent and try to take over the world. The reality of AI is much more boring than an army of computerized robots, but it’s an exciting time for new AI technologies. Both investors and computer enthusiasts keep a close watch as new AI applications come to market.

Perhaps the best-known AI implementation is ChatGPT from OpenAI, a free website where you can interact with an AI using a chat interface. Like sending an instant message to a colleague, you’ll get a well-constructed (though not always accurate) answer. ChatGPT can answer questions, write high school English class essays and help you create the code for a new website, among many other uses.

OpenAI also released Dall-E, an AI-driven image creator that can create sometimes photo-realistic images based on a short prompt. These tools give a layman’s understanding of the powerful potential of AI.

What is machine learning?

Machine learning is a computer application where a system can analyze a large data set looking for patterns and trends without human interaction, such as which stocks are poised to rise in value. While it’s not very helpful for consumers directly, machine learning is increasingly helpful for companies looking to manage complex tasks.

Many large companies employ teams of financial analysts looking for patterns to help the company increase earnings, for example. When that team has access to machine learning, they can find patterns and trends faster, giving them more time to focus on potential implementation. Advanced finance, logistics, human resources and technology departments and companies often use machine learning daily. Again, we will likely see growth as more business leaders understand the power and value of adding this new technology.

AI and ML compared

AI and ML are not easily compared, because they work interdependently in some situations. AI works for a huge range of applications. Machine learning is one of those applications.

In many cases, you could be using both AI and ML without realizing it. For example, every time you search in your favorite search engine, it’s likely relying on major machine learning algorithms to make predictions for what you’ll want to search for as you’re typing. Then the results you see may be decided using AI and ML.

This search engine reference isn’t merely a speculative use. Google and Microsoft are going head-to-head in the battle of AI-assisted search engines as they duke it out to be the first place you go when looking for information or services online.

Top stocks in AI and ML

The biggest buzzwords in AI these days come from one company: OpenAI. Unfortunately, most individual investors can’t buy a slice of the company in their stock portfolios. OpenAI stock isn’t publicly traded. However, you can invest in OpenAI indirectly through Microsoft.

Microsoft is a major investor in OpenAI and retains exclusive rights to integrate GPT-3, the latest version of ChatGPT, into its products. Microsoft recently announced an update to its Bing search engine with ChatGPT integration. Microsoft already offers AI-assisted coding for GitHub users, which may be enhanced. We may also see GPT-3 show up in Microsoft Office, helping with anything from Excel formulas to writing an email to your boss in Word or Outlook.

Amazon is another gargantuan company heavily involved in AI and made a past investment in OpenAI. While likely smaller than Microsoft’s splashy investment, it’s another avenue to invest in OpenAI.

Google is another major competitor in AI. While it’s newly announced Bard chatbot is supposed to be a competitor for Microsoft and ChatGPT, its start was anything but impressive. Nonetheless, Google is a technology titan. The resources are certainly available if it wants to make AI its next big thing.

If you’re looking to invest in AI but don’t want to spend time researching each stock and following every press release, consider investing with the help of AI. Q.ai Investment Kits are a quick route to adding the power of AI to your investment strategy. You might find the Emerging Tech Kit interesting, among other investment choices.

The bottom line

We’re lucky to live in a time with rapid technological advancements. Many adults today remember when they got their first TV at home. These days, you have the entire knowledge of mankind, and an AI chatbot, conveniently located on the smartphone in your pocket or purse.

With so much potential to change the world, AI may be an excellent area to look for your next profitable investment.

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Article resource: https://www.forbes.com/sites/qai/2023/02/09/machine-learning-vs-artificial-intelligence-how-they-differ-and-how-they-will-disrupt-the-technological-landscape/?sh=35bf533e2f92