Software development technologies have witnessed a huge transformation over the last few years. All major enterprises have adopted almost all the emerging technologies in their software development and artificial intelligence is no exception. Artificial Intelligence has enabled software to emulate human decisions. The impact of artificial intelligence on software development changes how enterprises run businesses and make software smarter. A survey by Forrester revealed that AI in Software development will improve agile test automation and automation-testing software. With the support of AI, RPA bots will function efficiently. Therefore, AI tools aim to make software development more reliable, faster, and easier.

What is AI Software?

Artificial intelligence is a field of computer science. It is defined as the study and design of intelligent agents. An intelligent agent is a system that can understand its environment and consequently take actions that are required to maximize the chances of successful actions.

The rapid advancements in the field of smartphones and computers have helped to make the journey into artificial intelligence faster and smoother. Today artificial intelligence is capable of recognizing speech, beating people at chess, and acting in complex situations.

Artificial Intelligence Software is a computer program that mimics human behaviour by learning various data patterns and insights. Artificial intelligence tools and applications aim to develop machines so that they perform tasks in a better manner than human beings. Artificial intelligence tools and applications are also supposed to understand the actions of humans, animals, and machines. The insights and information gained from artificial intelligence tools and applications are easy for human beings to comprehend.

Types of Artificial Intelligence Software

Artificial Intelligence Platforms:

This will provide the platform for developing an application from scratch. Many built-in algorithms are provided in this. The drag and drop facility makes it easy to use by everyone.

Chatbots:

This software will give the effect of talking to a real person even though the conversation will actually be with an AI-powered bot.

Deep Learning Software:

It includes speech recognition, image recognition, etc.

Machine Learning Software:

With this software, computers are made to learn through data.

The Best AI Software Tools

1. Microsoft Azure AI Platform

As a cloud platform, Microsoft Azure has made significant progress with its capabilities and is a popular choice for AI development. Azure AI platform provides various services including Machine learning (ML), Vision capabilities like object recognition, Speech capabilities like speech recognition, Language capabilities like machine translation, and Knowledge mining. This platform provides AI apps and agents that can be customized according to the requirements of your app. This tool helps to deploy your model as a web service. The users can access extensive developer resources and documentation. It offers a wide collection of domain-specific pre-trained AI models. The Azure platform provides templates for the development of bots. It is also very popular for developing new open-source machine learning algorithms and software solutions. Azure AI has reshaped the AI journey with these spectacular services.

2. TensorFlow

TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on the training and inference of deep neural networks. TensorFlow was developed by the Google Brain team for internal Google use in research and production.TensorFlow can be used in a wide variety of programming languages, most notably Python, as well as Javascript, C++, and Java. This flexibility lends itself to a range of applications in many different sectors. The fascinating thing about Tensorflow is that when you compose a program in Python, you can arrange and keep it running on either your CPU or GPU. So you don’t need to compose at the C++ or CUDA level to keep running on GPUs.It utilizes an arrangement of multi-layered hubs that enables you to rapidly set up, train, and send counterfeit neural systems with huge datasets. This is what enables Google to recognize questions in photographs or comprehend verbally expressed words in its voice-acknowledgement application.

3. Theano

Theano is a Python library and optimizing compiler for manipulating and evaluating mathematical expressions, especially matrix-valued ones. In Theano, computations are expressed using a NumPy-Esque syntax and compiled to run efficiently on either CPU or GPU architectures. It was created to make actualizing profound learning models as quick and simple as feasible for innovative work. It keeps running on Python 2.7 or 3.5 and can consistently execute on GPUs and CPUs. What sets Theano apart is that it exploits the PC’s GPU. This enables it to make information escalate multiple times quicker than when kept running on the CPU alone. Theano’s speed makes it particularly profitable for profound learning and other computationally complex undertakings.

3. Caffe

‘Caffe’ is a profound learning structure made with articulation, speed, and measured quality as a top priority. It is created by the Berkeley Vision and Learning Center (BVLC) and by network donors. Google’s DeepDream depends on Caffe Framework. This structure is a BSD-authorized C++ library with Python Interface. In Caffe’s first year, it was formed by over 1,000 developers and had many significant changes contributed back. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU*.

4. MxNet

MXNet is an open-source deep learning framework that allows you to define, train, and deploy deep neural networks on a wide array of devices, from cloud infrastructure to mobile devices. It is highly scalable, allowing for fast model training, and supports a flexible programming model and multiple languages. MXNet lets you mix symbolic and imperative programming flavours to maximize both efficiency and productivity. It is built on a dynamic dependency scheduler that automatically parallelized both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. The MXNet library is portable and lightweight. It is accelerated with the NVIDIA Pascal™ GPUs and scales across multiple GPUs and multiple nodes, allowing you to train models faster. It is not directly governed by a major corporation which is a healthy situation for an open-source, community-developed framework.

5. Auto ML

Out of all the tools and libraries listed above, Auto ML is probably one of the strongest and a fairly recent addition to the arsenal of tools available at the disposal of a machine learning engineer. Thus we enter a new realm of meta, wherein software helps build software. AutoML is a library that is used by many Machine learning engineers to optimize their models. Apart from the obvious time saved, this can also be extremely useful for someone who doesn’t have a lot of experience in the field of machine learning and thus lacks the intuition or experience to make certain hyperparameter changes by themselves.

Artificial Intelligence is revolutionizing industries with its applications and helping solve complex problems. These new AI-based tools take things a step further, parsing and understanding all of those millions of lines of undocumented code out there and finding helpful snippets as you need them, without having to search for them. All you need to do is sit down and code and look for suggestions as they come up. Overall, Artificial intelligence will have a significant impact on the design as well as the creation of software. The software development companies need to perceive the impact of artificial intelligence and the potential benefits it will bring, not only in the way of building software but also in the software itself. AI can take your businesses and applications to the next level. Book a free consultation with Alfabolt today and start your AI journey with us! Undeniably, AI in software development will prove to be a game-changer.

Top AI Software Development Tools In 2022