How to use machine learning without technical knowledge

In 2021, 56% of the organisations surveyed indicated that they use AI in their business. This is an increase from 50% in 2020. We can only expect further growth in 2022. Integrating AI and machine learning into a company's daily operations can be a complex and time-consuming process. Moreover, the growth of the AI market is expected to be hampered by a lack of well-trained and experienced professionals.



However, it doesn't always have to be such a big challenge. Gone are the days when AI implementation meant hours of AI coding and hassle for you and your team - recent AI developments have made the whole process a lot easier. Forget in-house software teams or outsourced AI development teams-it doesn't have to be a lengthy process.

The solution you need is called no-code AI. It has revolutionised all industries and enables rapid automation of manual processes in just a few clicks.

To code or not to code, that's no longer a question.

The total amount of data generated, recorded, transferred and consumed across the world in 2018 was 33 zettabytes (ZB), or 33 trillion gigabytes. This rose to 59ZB in 2020, and by 2025 it is expected to reach a staggering 175ZB.

Every person generates data. This also means that every business generates data. To process these vast amounts of raw information, AI has become more important than ever. However, understanding machine learning is difficult and time-consuming - especially if you have no experience with it. Traditional AI approaches are complicated to use and require a lot of technical knowledge.

This means that you need to employ developers who are well versed in AI coding. The increased demand for AI developers has quickly led to supply issues - there just aren't enough developers to go around. This makes traditional AI inaccessible for many organisations.

Machine learning without technical knowledge paves the way for making AI more accessible to non-technical people. You can develop smart processes without writing a single line of code - no matter how big your business.

As a result, the distance between technology professionals and businesses is narrowing and more and more organisations are harnessing the power of AI.

The rise of no-code machine learning

With no-code AI, users can use models to quickly categorise data, analyse that data and generate accurate data predictions. Pre-built connectors, guided user actions and visual interfaces are all ways to implement machine learning without programming.

Unlike traditional development methods, the graphical user interface of no-code machine learning and deep learning without programming tools makes things easier.

They automatically produce components depending on existing data.

AI has never been more accessible, thanks to user-friendly visual processes and simple approaches such as drag and drop. No-code AI solutions create compelling commercial applications by mimicking human intelligence.

One such solution is Trendskout.

Trendskout's powerful no-code AI solution makes machine learning more accessible to businesses of all sizes. Let's see how you can use Trendskout to define your own AI models and automate processes without any coding knowledge.

Let's see exactly how the process works. Watch this video for a step-by-step walkthrough of Trendskout machine learning.

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