Here’s a common scenario: You witness the rapid growth of the AI landscape and understand that it’s important for your business. You know that machine learning would bring great value to your team and, ultimately, your bottom line. 

But until recently, you needed to be a data scientist or software engineer (or hire them) to bring AI to your business. For most companies, the idea of AI was just a dream or something only accessible to the “big players” in the industry.

Sound familiar?

Here’s the good news: Thanks to no-code machine learning (AI), this technology is available to all business owners. It doesn’t matter if you’re a start-up or the CEO of a Fortune 500 company. No-code AI is leveling the playing field. Thanks to no-code, you don’t need to be a software engineer or tech geek to bring machine learning to your business. 

In this article, we’ll explore everything you need to know about no-code machine learning (AI) and how to use it in your company. 

What Is No-Code Machine Learning (AI)?

First things first, let’s explore what machine learning actually is. 

In a nutshell, machine learning is when a computer can learn to perform tasks on its own without any explicit instructions. 

It is different from automation, because automation focuses on following pre-programmed rules (i.e. “If X, then Y”). Some experts refer to this as “rules based automation.”

On the other hand, machine learning is a type of artificial intelligence (AI). It’s called machine learning because the software learns and adapts to the data it is exposed to. In other words, the software has no knowledge, but uses algorithms and statistical models to glean insights from large amounts of data.

Let’s take a look at an example. One of the most well-known real life uses of machine learning is Facebook’s facial recognition software. You may have noticed in recent years that Facebook has become great at identifying pictures that you may be in. Even though billions of people use Facebook on a monthly basis, it is able to figure out whether or not you are in a picture. It’ll even ask you if you want to tag yourself!

How? 

This is only possible through machine learning. The more faces that Facebook analyzes, the better that the facial recognition system becomes. 

Again, in the past, you needed to hire experienced developers and programmers to create such advanced machine learning. But the days of traditional AI are over.

So this raises the next question: What is no-code machine learning?

Simply put, no-code machine learning is the ability to use machine learning without writing a single line of code. 

Consider just a few of the benefits of no-code AI:

• It’s quick. It can take months or even years to build machine learning through traditional programming methods. With no-code programming, it’s as simple as drag and drop. The time it takes to build and implement AI is drastically reduced. When you are able to cut down on the time it takes to build AI, you can invest those resources in more exciting opportunities.
• It’s very cost effective. A no-code platform allows you to bypass expensive developers and programmers. Furthermore, because it’s quick to deploy, you’re also saving money on the cost of development. The quicker you produce no-code machine learning (AI), the cheaper it is in the long run. Blaze's platform lets you easily connect with external AI tools without writing any code.
• You don’t need to be an expert. These tools were not developed to make the jobs of engineers and developers easier. Rather, no-code platforms were created specifically for people with zero coding experience. As long as you have basic computer skills, you can leverage no-code machine learning (AI) for your business.
  
• You will improve decision making. AI allows you to consume, digest, and analyze complex data in just a fraction of the time. Rather than relying on old fashioned reporting, which can be stale or prone to human error, you can make decisions based on the latest data, often in real-time. The AI component also helps reduce error, ensuring that you make decisions off of accurate data.

With so many benefits, you may be wondering, “Why aren’t more businesses investing in no-code machine learning (AI)?”

As always, the simplest answer is most often the correct answer.

It’s likely because the technology is new and many industries are still in the mindset that high-code is the “right” way to approach machine learning. Fortunately, this is changing as more and more companies look to invest in a no-code AI platform.

Why Are Businesses Going No-Code? How Can Machine Learning Work without Code

When it comes to machine learning, the biggest barrier to entry is cost

According to phData, the bare minimum a company needs to spend in machine learning is $60,000 for the first five years. If $60K is the bare minimum, then the actual costs are likely much higher. This doesn’t even consider the cost of hiring developers and engineers for long-term tech support, scaling, and security.

The reality is that low-code and high-code solutions are expensive. 

No-code machine learning (AI) is very competitively priced for a no-fuss, no-hassle product that has the exact same level of support.

Blaze, for example, enables you to build an application quickly and affordably, without needing to hire a developer. Even if you have dozens of employees on your no-code app, that would be a cost-savings of tens of thousands of dollars.

It’s no wonder, then, that no-code web based apps are quickly growing. In fact, it’s estimated that up to 70% of new business technologies will be no-code in as little as three years!

How to Use No-Code Machine Learning (AI)

At Blaze, we believe that mastering machine learning should be possible for everyone. This is why we designed our no-code platform to be accessible to start-ups, growing ventures, and major enterprises. 

Here’s how to get started:

1. Schedule your free demo. We know that sometimes things sound too good to be true, which is why we believe that seeing is believing. During your demo, you’ll see behind the scenes into how our no-code tool works. There’s no pressure, and you’ll have the time to ask all the questions you need to make your decision.
2. Use our A.I. enabled visual creator. It really is as simple as drag and drop. You can make your own digital dashboard that visualizes all the data, forms, and tools that you need. You can design your dashboard however you like.
3. Connect to 3rd party tools. Do you use HubSpot, Excel, Shopify, or Stripe? We have pre built integrations with dozens of tools! Simply sign-in, and we’ll take care of the rest. You can also connect with AI platforms to leverage machine learning without code. While Blaze itself does not provide AI services, you can connect the AI tools that you do use.
4. Set user permissions. Finally, it’s time to grant user permissions to those on your team. Admin access is the highest level of access possible, followed by Manager, then Author. You can also enable 2FA and SSO for more security.

When you use a tool like Blaze, you’ll see how no-code AI replicates human judgment, yet you still have total control over your tool. You can see your data, filter it, and make decisions that are best for your business. 

The Future of No-Code AI

The rise of no-code artificial intelligence has forever changed the way we approach machine learning and data analysis. Because no-code development programming allows users to build AI models without writing a single line of code, it is accessible to a wider range of professionals than ever before. This includes those with backgrounds in web development, databases, and even those without any technical expertise.

With no-code AI, users can create and train AI models using a graphical user interface (GUI). This makes it possible for non-technical users to get involved in data analysis and master machine learning concepts without having to learn how to code. 

This shift in accessibility has created a new paradigm in AI. We may be close to reaching – or have already reached – a tipping point where AI not only helps human life, but helps improve future AI models.

One of the main advantages of no-code AI is that it enables users to replicate intelligent human judgment with just a few clicks. This makes it possible for users to test out different AI models and see the results of their work in real-time. 

No-code AI also scraps the need for conventional methods of AI. Gone are the old days of needing vast technical knowledge and specialized software.

Another benefit of no-code AI is that it enables users to experiment with machine learning without having to worry about a steep learning curve. This means that users can focus on exploring and developing new AI models quickly. In the past, users needed to worry about the underlying code. Now, resources like Blaze have helped level the playing field for those who are looking to explore AI.

The future of no-code AI is bright. With more and more companies adopting AI technology, the demand for no-code AI solutions will only continue to grow. This growth will bring about new opportunities for companies to use AI and improve their processes to gain an edge over their competitors. 

As no-code AI continues to mature, it will also become easier for users to bring AI into their existing workflows. This will make it possible for users to automate tasks and streamline their operations. 

For example:

• AI in inventory management helps ensure that you are always in stock, giving you deeper insight into your movers and shakers.
  
• Client portals help create a smoother onboarding process, which boosts client satisfaction and retention.
  
• Customer support tools help you make sure that every issue is handled in a timely, consistent, and helpful manner.
  
• You can even create your own forms and organize them for easy access. This frees up time for other tasks, such as serving clients and growing the business.

With no-code AI, companies will be able to leverage the power of AI without having to invest in costly software or hire a team of experts.

Simply put, no-code AI has the potential to transform the way we approach AI and machine learning. With its clean and user-friendly interface, it opens up new paths for innovation and makes AI accessible to a wider range of professionals. 

As the demand for AI continues to grow, the future of no-code AI looks rich with opportunity, and we can expect to see it play a major role in shaping the future of AI.