AI in App Development: 7 Incredible Frameworks for Smooth Integration

Artificial intelligence and machine learning have been all the rage lately, with new applications popping up every day and creating mind-blowing results in niche applications such as self-driving cars and facial recognition technology. But what if you’re just a small business looking to use AI in your next app? Is there an easy way to get started? The answer is yes, if you follow these seven incredible frameworks for smooth integration of AI in app development. These frameworks take care of all the difficult details, leaving you free to focus on your application logic instead of things like image-based deep learning algorithms.

What is Machine Learning?

Machine learning is a method of artificial intelligence (AI) wherein computers use algorithms to learn from data. For example, if you wanted to teach a computer how to recognize images, you might present it with thousands of pictures and have it identify which ones contain cats. From there, it would make inferences about what makes a cat look like a cat so that it can more accurately detect them going forward. The more visual data you give your computer, the better its skill will become at finding cats. One of machine learning’s main benefits is that computers require less human supervision and guidance compared to when they operate using traditional software development techniques.

Why you should use an artificial intelligence framework?

A dedicated development team and hiring app developers are two key components to building a successful AI-driven app. These are expensive investments, so it’s important to make sure that you get your money’s worth. That’s where an AI framework comes into play; they take much of the guesswork out of creating a scalable, efficient artificial intelligence system by taking hard data and statistics and turning them into programmatic instructions. Frameworks also save time by providing a basic infrastructure that can be tweaked as needed without having to start from scratch with every new project. This allows developers to focus on other aspects of developing an intelligent app—such as actually thinking about how AI will work within your particular scenario.

How do the best frameworks stand out?

There are several frameworks that have become popular to integrate AI into mobile apps. Several of these use different programming languages and code structures, making it difficult to switch from one to another when you find out about a new opportunity. If your app is already built, then you might need dedicated development team that works with AI so they can implement their expertise from scratch. This will be costly and time-consuming, so make sure that you do your research on current trends so you know what to build for once new technology becomes available. Hiring app developers can be beneficial, but don’t rush into it; make sure that any company you choose is as dedicated as possible because outsourcing means saving money initially but it can end up costing you more if they are not able to pick up something quickly.

Which framework fits your project needs?

With so many frameworks available, it can be difficult to find one that fits your project needs. Before you start hiring app developers or building out your code base, make sure you have a plan of action and know exactly what you want to build. You don’t want to spend time and money building something only to realize it doesn’t support your objectives. At DMZinc, we work with businesses that use machine learning in real time (often called streaming machine learning). To ensure AI is implemented correctly, companies need a dedicated development team with all of the necessary expertise. If you need help bringing an AI-powered product or application to market quickly, DMZinc is here for you! Contact us today for more information about our products and services.

How do we choose an appropriate framework?

The last few years have seen a proliferation of AI-based products from various companies. That’s great news for companies who are looking to capitalize on emerging technologies, but how can you choose which framework is best suited to your company’s development needs? The best place to start is by answering four important questions:

1) What do we want our end product to look like?

2) How many developers do we need to get there?

3) What sort of budget do we have available? 4) When do we need it completed by? After taking those factors into consideration, you can use them as guidelines when deciding which framework fits your specific needs.

Introducing – The frameworks!

We have so many options when it comes to building AI functionality into our apps. But which one do we choose? It’s a difficult decision, and even worse if you don’t know anything about artificial intelligence. That said, there are tons of frameworks out there that can get you started with AI almost instantly—with little to no integration knowledge required. Here are seven that I recommend.

Microsoft Cognitive Toolkit

CNTK is a deep learning toolkit that implements large-scale optimization algorithms on GPUs. It was originally developed by Microsoft Research to help us build our natural language understanding systems, including support for speech recognition and machine translation. Today, it's a full-featured deep learning platform used by researchers and engineers across industry, academia, and government. This means it’s built to be easy to use — you can use pre-trained networks or quickly design your own using CNTK’s modular architecture.

Conclusion

Artificial intelligence is fast becoming a viable solution to many of mankind’s most pressing problems. It is a new technology that promises to impact all areas of life, even those that aren’t immediately obvious. In fact, recent developments have seen people turning towards AI as a way to manage their day-to-day business operations – and make better decisions overall. The question isn’t whether you will benefit from AI – it’s how quickly can you start working with it? Luckily, you don’t need to be an experienced programmer or data scientist to get started with artificial intelligence. A number of powerful solutions have been developed over recent years; here are just some of them!