How can someone without AI programming knowledge build an AI business


Artificial intelligence (AI) is rapidly changing the world, and businesses that don't embrace AI are at risk of being left behind. However, many people believe that they need to be programmers in order to build an AI business. This is not necessarily true.

There are now a number of no-code AI platforms that allow businesses to build AI-powered applications without any programming knowledge. These platforms provide drag-and-drop interfaces that make it easy to create and train AI models.

Let's take a look at some of these companies to help you take the first step:

👣 Amazon SageMaker - SageMaker let's you take advantage of Amazon's extensive AI expertise. SageMaker Jumpstart is pretty easy to use, giving users a selection of templates for the most popular types of applications that businesses will find beneficial.

👣 Apple CreateML - If you love a simple drag-and-drop functionality to create iOS applications use this. You can use your iPhone camera and microphone to collect data, you can also use a Mac computer with a GPU to speed up and improve the training process.

👣 Akkio -  In only 10 minutes you can deploy AI, yes, without any digital skills. If you want to create workflows fast and deploy them, use this. You will also have use of integrations like Snowflake and marketing tools like Hubspot and Salesforce.

👣 DataRobot - Lots of tools are available in this cloud application to build and deploy advanced code. Here you can create dedicated models for industrial use cases ranging from retail, healthcare, banking, manufacturing, and public sector bodies. There is a nice feature too which helps make AI easier to understand.

👣 Google AutoML -  This is a no-code AI solution and isn't for novices. You will need some understanding of ML (Machine Learning). However, there is a simple interface which will enable you to get straight into testing out features. Note, it is Google Cloud based, so it will be familiar if you have used other Google productivity tools.

👣 Google Teachable Machine - Very beginner-friendly, probably more so than AutoML, with easy to use tutorials guiding you through the process of training algorithms to classify and categorize data. A good start for getting to grips with the basics before using one of the other more complex AI platforms.

👣  Microsoft Lobe - A simple tool that allows you to train in image recognition algorithms. It was designed for users to understand the basics, this MS platform automatically selects the models that are most likely to be successful depending on the user workload. No coding experience is needed, and if you want more you can move on to Azure AI, Microsoft’s advanced ML framework.

👣  Nanonets - If you want a platform that is specifically designed to automate and speed up the process of extracting structured or semi-structured data from documents, use this. If you and your business is spending far too much time and money on doing tasks like importing data from forms, text documents etc, then this is potentially what you are looking for. This is clever stuff, the platform learns from its mistakes to evolve into something better at your fingertips.

👣  ObviouslyAI - This platform will allow you an easy way of plugging in your data – multiple formats are accepted – you can immediately start to gain traction with its AI-powered analytics. There are templates for multiple use cases, like scoring risks, fraud detection etc.

👣  PyCaret - If you know Python this is a great option. You will need to have more technical knowledge to use it than some of the others mentioned. It is worth a look, this is all about preference and there are some useful features such as pre configured wrappers and functions to simplify analytics, training in models etc.

Next let's look at how can someone without AI programming knowledge build an AI business?

  1. Identify a problem that AI can solve. What is a problem that your business faces that could be solved with AI? Once you've identified a problem, you need to understand how AI could be used to solve it.
  2. Choose a no-code AI platform. There are a number of no-code AI platforms available, so you'll need to choose one that's right for your business. Some factors to consider include the platform's features, pricing, and ease of use.
  3. Gather data. In order to build an AI model, you'll need to gather data. This data can be anything from customer purchase history to social media posts. The more data you have, the better your AI model will be.
  4. Build your AI model. Once you have your data, you can use the no-code AI platform to build your AI model. This process is usually very straightforward, and the platform will guide you through the steps.
  5. Test and deploy your AI model. Once your AI model is built, you need to test it to make sure it's working properly. You can then deploy your AI model to production so that it can start solving problems for your business.

Building an AI business without AI programming knowledge is possible, but it does require some effort. By following these steps, you can create an AI-powered application that can help your business grow.

Here are some additional tips for building an AI business without AI programming knowledge:

  • Partner with a data scientist or AI engineer. If you don't have the time or resources to build your own AI model, you can partner with a data scientist or AI engineer who can help you.
  • Start small. Don't try to build a complex AI application right away. Start with a simple application that you can build quickly and easily.
  • Iterate and improve. Once you have a working AI application, don't be afraid to iterate and improve it. The more data you gather and the more you experiment, the better your AI model will become.

With a little effort, you can build an AI business without AI programming knowledge. By following these tips, you can create a successful AI-powered application that can help your business grow.

Christian Jacques Bennett
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