Today, growing enterprises want to scale many times faster but at the same time reduce their costs. The high demand for business applications drives the need for the development of new low and no-code machine learning platforms. 😮

It is also confirmed by various statistics:

👉 According to Gartner, by 2024, low-code application development will be responsible for more than 65% of application development activity.

👉 According to 451 research, low code/no-code solutions have the potential to reduce the app development time by 90%.

The no-code movement is based on the fundamental belief that technology should facilitate creation, not be a barrier to entry. With no-code machine learning your company can become data driven without data scientists. No–code machine learning platforms are designed to perform monotonous tasks and provide results in seconds rather than days/weeks. Read on to learn more about no-code machine learning technology, benefits for your company and how to start ML development with machine learning remote agency.

What is No-code?

No code or zero code is a tool for creating websites, applications, chatbots and other programs without writing a single line of code. This is a direct alternative to traditional development. No code is often confused with low code, but these are different things.

Low-code platforms include pre-built components and provide easy access to code, and technical users tend to rely heavily on code when deploying low-code applications. As a result, low-code platforms allow users to build more complex and customized software.

Code-free technologies are often targeted at business users, allowing them to easily transform enterprise use cases into applications on their own.

What is No-code Machine Learning?

ML without code is a subset that makes ML more accessible and user-friendly.

Code-free platforms help people who are not technical specialists such as business analysts, underwriters, product managers or risk managers implement AI and ML to quickly classify and analyze data and build reliable forecasting models in minutes or hours.

No code machine learning platforms provide easy data prediction by dragging and dropping, replacing ID and forecast columns and deferring columns that you don't want to use. It takes time, effort and experience to build AI models. But without code, it reduces the time to create models to minutes, allowing your company to easily and quickly implement machine learning models into processes.

Benefits of No-code ML for your business

According to Gartner, 65% of application development will be low-code/no-code by 2024.

Solutions based on AI and no-code machine learning reduce entry barriers for individuals and companies interested in implementing AI and machine learning into business processes. These tools help companies to develop ML models quickly and cost-effectively, allowing experts in their field to benefit from the latest technologies.

In addition to the well-known "simple and convenient," there are various other advantages of adopting no-code machine learning:

• Reduced cost: Individual solutions based on AI and machine learning are several times more expensive, usually require hiring full-time engineers and take a lot of time to adapt the team. But no-code machine learning reduces costs and solves related problems.
• Increased productivity: With no-code platforms, work that used to take months is now done in hours or days.
• Easy integration: No-code machine learning platforms have created the most convenient way to coordinate with outdated software and minimize the disadvantages associated with its non-standard nature.

How can no-code machine learning impact different industries?

The power of machine learning without code opens up many opportunities for companies of any size. 😮

No-code machine learning can be applied in a variety of industries, for example, in the finance sector. Using no-code machine learning platforms, financial teams can improve security and provide a higher level of customer service. Moreover, they can build a ML model faster and easier, which will allow them to quickly scan loan applications and determine which of them meet the required criteria.

In addition, marketers can successfully implement no-code machine learning to develop models that help them sort and analyze data in all possible ways. They have a lot of opportunities for adopting AI and it will not need to hire a team of AI experts and developers.

Start with no-code machine learning development now!

If you are just getting started with adopting machine learning for future changes, it's a good idea to find out machine learning consulting that can help you with customer service personalization, process automation and implementation solutions that will change the way customers interact with your product.