Top 10 Reliable AI-Driven Tools for Your Software Development Process

Top 10 reliable AI-driven tools that will innovate your software development process

Every one of us is using AI-driven tools and technologies such as Artificial intelligence and machine learning in our day-to-day lives. The best example is our smartphones. If you are still wondering how once recall the last time you asked Alexa to play your favourite tunes. Yes, that's it then, you got it! These are AI-driven tools.

While we talk about the role of AI-driven tools in your software development process, we can see a lot of tools in the market. Here we are going to discuss the top 10 reliable AI-driven tools that are going to help in your software development process.

1. Google ML Kit

 This is a machine-learning tool built by google experts for mobile app developers to create custom features for IOS and Android. This technology is specially optimized for mobiles and is very easy to use. Google ML Kit comes with a range of vision APIs such as face detection, barcode scanning, tracking and detecting objects, image labelling, link building, pose detection, text recognition, and many more.

2. IBM Watson

If you are looking to gain a competitive advantage with an intelligence process then IBM Watson is the perfect pick for you. Software development companies use IBM Watson to empower their businesses process and reap the benefits of accelerated R&D, scaling the technologies and expertise, enriched interactions, risk mitigation, anticipating market trends and so on. This AI technology has enabled many business teams to focus on their high-priority creative tasks.

3. Tensorflow

This is an open-sourced math tool that allows various software development companies to design, develop, deploy and experiment with counterfeit systems with high-volume data. Tensorflow is a multi-layer, AI-driven computational tool that does deep learning calculations for the production process. The tool also has some additional advantages like easy prototyping, robust machine learning, and powerful experimentation. It is also able to operate on any device, GPU, and CPU.

4. Infosys NIA

The Infosys NIA is an AI-driven tool built in the year 2017 by Infosys. With the help of this tool, various software companies can enable their clients and gather all kinds of data organizational data from the technical and legal systems, business processes, and individuals and store them in a self-learning database that helps to design future strategies.

The purpose of this development is to forecast market trends, generate revenue, improve sales, analyse customer behaviour and so on.

5. Accord.NET

Accord.net is an AI-driven framework that consists of machine-learning technologies that integrate libraries with C# language. As an end user, you can have a wide range of choices because of its multiple layers. The tool is being used in software development services due to its powerful features such as signal processing, self-learning algorithms, pattern recognition, scientific computing, computer vision, and so forth.

6. H2O

This is an AI-driven tool written in several programming languages such as Java, R, Phyton, etc. the tool is developed to build mobile applications for machine learning, risk analysis, data analysis, predictive analysis and customer intelligence.

7. Mxnet

MxNet can render the software development company with an ecosystem that enables them to explore various technologies and tools to support the development process. Apart from being integrated into eight languages such as Julia, scala, C++, Clojure, Java, Pearl and R, the tool has the additional benefit of being scalable for research, tanning, production and performance.

8. Google Assistant

Who does not know about google? It is the most common AI tool that every smartphone in the world has. The tool supports various languages and can easily browse any command, set reminders, schedule meetings, have two-way conversations, and so forth. 

9. Deeplearning4J

Deeplearning4J is a machine-learning technological tool written in languages like Scala and Java. The tool is used in software development services for rapid prototyping. The tool fits in the micro infrastructure and also runs the business systems with distributed GPUs and CPUs. This AI tool supports ScalaAPIs, Python, AWS, Hadoop, and Java. It also offers a special toolkit for data scientists, DevOps, and data engineers.

10. Cortana

Cortana is a virtual assistant AI tool developed by Microsoft. Although it has many similarities with Google assistant the voice recognition feature in Cortana is more powerful. And the main advantage of this AI tool is it also performs some human-specific tasks too.