The Complete Guide to AI Software Development Platforms

August 12, 2022
The Complete Guide to AI Software Development Platforms

Over the past few years, artificial intelligence (AI) has exploded into the public consciousness, from smartphone apps that turn selfies into drawings to the news of AI systems beating humans at complex games like Go and poker. 

The reality, however, is that most people are still unfamiliar with AI software development platforms and don’t fully understand how they work or what they can be used for. This guide will introduce you to some of the most popular AI software development platforms and show you how they can be used to advance your career or business.

But before anything else, let’s define the basics. 

What Is Artificial Intelligence (AI)?

Artificial intelligence is a process of programming computers to make smart decisions for themselves. This can be done through different methods and tools, including but not limited to rule-based systems, decision trees, genetic algorithms, artificial neural networks, and fuzzy logic systems. 

There are many benefits to developing software with AI. Some of these benefits include the ability to automate repetitive tasks, the ability to make better decisions faster, and the ability to improve customer satisfaction. 

However, there are also some challenges that come with developing software with AI. Some of these challenges include the need for specialized hardware and software, the need for skilled personnel, and the potential for ethical issues. 

Despite these challenges, there are a number of AI software development platforms that can help you get started. And we’ll list them in the section below.

What Is an AI Software Development Platform?

An AI software development platform is a tool that helps developers build applications with artificial intelligence features. The platform provides a set of tools and services that can be used to train, test, and deploy AI models. It can also be used to manage data and resources, and to monitor and optimize app performance. 

The following are some of the key features an AI software development platform should offer: 

  • Tools for training and testing: These are used for optimizing algorithms and scaling workloads. They include interfaces for managing big data sets and APIs for integrating third-party systems. 
  • A runtime environment: The platform should include a suite of management tools for deploying apps in production environments. In addition, it should have monitoring capabilities so you can identify any problems or inefficiencies before they get out of hand. It’s also important to have the ability to scale workloads based on user demand as well as provide access control mechanisms when needed.

How AI Software Development Platforms Can Help You Build Better Apps

Artificial intelligence (AI) isn’t just the future—it’s already here, and it’s changing our lives in unimaginable ways. In fact, it can even make you more efficient at your job by optimizing your workflow with AI software development platforms. 

As the name suggests, these platforms allow you to integrate AI into software development processes and build better apps with the help of machine learning algorithms, neural networks, and other advanced techniques. 

5 Reasons to Invest in an AI Software Development Platform

Still in doubt whether or not you can benefit from using an AI software development platform? Here are some reasons that might just change your mind:

  1. An AI software development platform can help you save time and money by automating tasks that would otherwise be done manually. 
  2. It can also help you improve the quality of your apps by providing access to powerful machine learning algorithms. 
  3. Additionally, an AI platform can make it easier to collaborate with other developers by providing a central repository for code and data. 
  4. Investing in an AI software development platform can also help you future-proof your business by giving you the ability to adopt new technologies as they emerge quickly. 
  5. Moreover, an AI platform can help you gain a competitive edge by allowing you to build smarter apps that are more personalized and responsive to user needs. You can even use it to create executable files for your Windows device, such as the getdockver32w exe.

7 Common Features of an AI Software Development Platform

When you’re looking for an AI software development platform, there are a few key features to look for. These include:

  1. Low Learning Curve – You want a platform that is easy to use and has a low learning curve. Data Storage – The platform should be able to handle a large amount of data. 
  2. Integration – it should be able to integrate with other systems and devices. 
  3. Training Tools – It should have tools for data pre-processing and model training. 
  4. Scalability – It should be scalable so that it can grow with your needs. 
  5. Customer Support – It should have good customer support in case you run into any problems.
  6. Price – It should be affordable so that you can get started without breaking the bank.

6 Popular Software Development Platforms Today

Are you looking to invest in a software development platform? Below are some of the most popular options used by companies today:

1. Salesforce Einstein

Salesforce Einstein is a platform that allows businesses to quickly develop and deploy AI-powered applications. It offers a variety of features, including pre-trained models, an easy-to-use drag-and-drop interface, and integration with Salesforce’s CRM products. Plus, it’s scalable and can be used by businesses of all sizes. 

The service also comes with unlimited data storage for any amount of data generated from the organization’s custom or third-party sources. Pricing starts at $4000 per 1 million predictions per month, but organizations can contact the platform’s support for a detailed pricing plan.

2. is a deep learning library that allows you to train your own models without having to code from scratch. With, you can get started quickly and easily without having to worry about the details of complex algorithms. 

The company also offers online courses in data science and machine learning with interactive exercises to help you learn the principles behind neural networks. has been used by companies like Uber, Facebook, Google Brain, NASA JPL and more to build state-of-the-art AI applications.

3. WeCode

WeCode is a new AI software development platform that helps you get ahead by automatically writing code for you. This platform makes it easy to develop for multiple platforms and languages, and has an intuitive interface that makes coding fun and easy. 

Plus, WeCode integrates with popular IDEs and tools, so you can continue using the tools you know and love. It also lets you import third-party modules directly into your projects, so you don’t have to go through the trouble of downloading them separately. 

And if you’re looking for more ways to save time, WeCode’s collaborative features allow developers from all over the world to work on one project at once.

4. RISE Lab

RISE Lab is an AI software development platform that helps you get ahead by building custom models and algorithms for your business. With RISE Lab, you can create custom software solutions for your business that are tailored to your specific needs. 

Plus, RISE Lab offers a variety of features and tools that make it easy to develop and deploy your AI software solutions. For example, with the API Builder in RISE Lab, you can easily integrate any API into your custom model or algorithm as well as configure Webhooks to track API usage or data exchange.

5. Symantec

Symantec provides the most comprehensive security solutions in the world, making it a natural choice for enterprises that want to stay ahead of the curve when it comes to protecting their data. 

The company offers an end-to-end security platform that includes both on-premises and cloud-based solutions. Symantec also has a strong focus on artificial intelligence (AI) and machine learning (ML), which makes its security solutions even more effective. 

For example, the company uses ML to automate analysis of its threat data using algorithms that can predict future cyberattacks. It’s not just about preventing malware—Symantec helps companies figure out what’s happening with their current infrastructure as well as anticipate new threats before they materialize. 

The company recently launched a new app called Insight Artificial Intelligence Threat Intelligence Service that leverages these technologies and takes advantage of machine learning to provide situational awareness around advanced cyberthreats by delivering real-time visibility into targeted attacks against networks, devices, applications, and users across all layers of the IT stack.

6. Infosys Nia

Infosys Nia is an artificial intelligence software development platform that enables you to rapidly develop and deploy AI-powered chatbots and digital assistants. It offers a wide range of features, including natural language processing, text analytics, and predictive modeling. 

Moreover, it seamlessly integrates with popular enterprise software like Salesforce and Oracle. Infosys Nia is a great choice for businesses that want to get started with AI quickly and easily.

How to Use AI Data to Train the Neural Network

Neural networks are trained using AI data. This data can be used to teach the neural network how to recognize patterns, make predictions, and so on. In order to train a neural network, you need a large amount of data that is organized in a specific way. 

For example, in an image recognition system, you would need thousands or millions of images labelled with what they show. The data could then be fed into the neural network to learn what different objects look like from various angles and distances. 

Data can also come from sensors attached to robots such as LiDAR. LiDAR works by bouncing laser beams off nearby surfaces, which can detect not only their distance but also their texture and height. With this information, it’s possible for the robot to create a highly detailed map of its surroundings in real-time.

In theory, it can be difficult to train the neural network. And in practice, it can be more challenging. The best way to get access to the data and APIs you need for your project is to use an AI software development platform. These platforms provide easy access to data and APIs, making it easier for you to build the apps you need.

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Some Tips to Get Started With Machine Learning

If you’re just getting started with machine learning, there are a few things you should keep in mind. Aside from learning how to use AI data to train the neural network, here are some helpful tips to get you started:

  1. Don’t be afraid to experiment. Trying different algorithms and techniques is the best way to learn what works for your data. 
  2. Take advantage of available resources. There are many great online courses and tutorials that can teach you the basics of machine learning. 
  3. Don’t forget to preprocess your data. This step is essential for getting good results from your machine learning models. 
  4. Start with simple problems. Don’t try to tackle too much at once,, or you’ll get overwhelmed.
  5. Persist through setbacks. It’s normal to make mistakes when you’re learning something new. 
  6. Have fun! Machine learning is a fascinating field with endless possibilities.

Final Thoughts

AI has become ubiquitous in our daily lives, from the ads we see to the personal assistants we rely on. It is also changing the way we live and work, so it’s not surprising that you may be interested in integrating AI into your app or software program. 

Artificial intelligence has made huge strides in recent years, most notably with the introduction of AI software development platforms that offer more functionality than ever before. These tools can help you easily and affordably develop applications that were once the realm of science fiction and highly specialized professionals. 

Artificial intelligence software development platforms are basically the backbone of AI technology, powering everything from voice-recognition apps to self-driving cars. They’re also vital to the future of your business, which means it’s important to choose one that will best help you achieve your goals. 

However, even with its popularity, many of us are still unsure of how to go about this technology and are wondering what AI software development platforms can do to help us and our businesses. That is the reason we’ve put together this guide to make your life easier and will get you started on your way to creating cutting-edge products with AI technology. Hopefully, we have gathered all relevant and helpful insight necessary to meet your undertaking.

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