Artificial Intelligence Software For PC Windows (10, 8) Free Download

List Of The Best Artificial Intelligence AI Software With Reviews And Comparison.

What is AI Software?

Artificial Intelligence (AI) Software is a computer program which mimics human behavior by learning various data patterns and insights.

Top features of AI software include Machine Learning, Speech & Voice Recognition, Virtual Assistant etc.

AI combined with Machine learning is used to provide users with the required functionality and make the business process a much simpler one.

AI software is used to build and develop an intelligent application from scratch with the help of Machine learning and deep learning capabilities.

Types of AI Software

There are four different types:

1. Artificial Intelligence Platforms: This will provide the platform for developing an application from scratch. Many built-in algorithms are provided in this. Drag and drop facility makes it easy to use.
2. Chatbots: This software will give the effect that a human or person is doing in a conversation.
3. Deep Learning Software: It includes speech recognition, image recognition etc.
4. Machine Learning Software: Machine learning is the technique which will make the computer to learn through data.

[image source]

What AI Can Do?

With the help of AI, we can develop smart systems that will not only help us in businesses or offices but also at home. Smart systems can perform so many tasks for us, right from setting the alarm to switching on/off the lights.

With the help of AI, gathering or collecting data from different portals becomes much easier. With the help of ML, we can apply different algorithms to data to get it in our required form.

While doing online shopping, we get recommendations based on what we see or purchase. This, in turn, will help in getting more business. All this is possible, just because of AI (Deep Learning and Machine Learning).

When you want to buy some products or services, you probably visit the concerned website, where you get help through online conversation or chatting window that is always available. This 24*7 help is possible only because of AI (Chatbot).

Robotic Process Automation Vs Artificial Intelligence

RPA software copies human actions and AI copies or imitates human intelligence. AI is the learning and thinking about the ability of an application.

Industries using AI: Retail, Finance & Banking, Education, Healthcare, Energy & Utilities, Technology, etc.

Top 10 Artificial Intelligence Software

Enlisted below are the best Artificial Intelligence Software that is available in the market.

Comparison Table Of AI Software

Let’s Explore!!

#1) Content DNA Platform

A ready-to-use human-like machine learning platform.

Features:

• Content analysis on-scene level in contrast to a conventional frame-level DL approach.
• No need for particular training datasets: use your own or publicly available content.
• Support for professional and user-generated live and VoD content.
• Works with any content type: sports events, movies, series, TV shows, etc.
• 2 weeks on average to adapt the platform to a new use case.
• Accurate detection of content anomalies: external ads, glitches, artificial text and more.

Marketing:

• nextgen ad placement.
• Sport highlight detection and compilation.
• hyper-personalized content recommendation.

Pros:

• Easy to learn even for not deep learning specialist.
• Uncountable opportunities for video processing analysis.
• Unsupervised machine-learning.

#2) Google Cloud Machine Learning Engine

Google Cloud Machine Learning Engine will help you with training your model. Components provided by Cloud ML Engine include Google Cloud Platform Console, gcloud, and REST API.

Features:

• Google cloud will help in training, analyzing and tuning your model.
• This trained model will then get deployed
• Then you will be able to get predictions, monitor those predictions and will also be able to manage your models and its versions.
• Google Cloud ML has 3 components, i.e. Google Cloud Platform Console is a UI interface for deploying models & managing these models, versions, & jobs; gcloud is a command line tool for managing the models and versions, and REST API is for online predictions.

Pros:

• Provides good support.
• The platform is good.

Cons:

• Needs improvement in documentations.
• Difficult to learn.

Tool Cost/ Plan details: The cost of training is different for the US, Europe, and the Asia Pacific.

• For the US: $0.49/hour for per training unit.
• For Europe: $0.54/hour for per training unit.
• For the Asia Pacific: $0.54/hour for per training unit.

There are different prices for the predefined scale tire and prices vary as per the region. Hence, you need to contact them for detailed pricing information.

Click here for the official URL.

#3) Azure Machine Learning Studio

This tool will help you to deploy your model as a web service. This web service will be platform independent and will also be able to use any data source.

Features:

• It can deploy the models in cloud and on-premises and at the edge.
• Provides browser-based solution.
• Easy to use because of its drag and drop feature.
• It is scalable.

Pros:

• No programming skills are required
• It can be integrated with open source technologies.

Cons:

• Lack of transparency in pricing details for the paid features.

Tool Cost/ Plan details: It provides a free account. You will be provided with more than 25 services with this account. If required, you can upgrade at any time by paying additional charges.

Click here for the official URL.

#4) TensorFlow

It is a numeric computational tool and an open source system. This ML library is mainly for research and production.

Features:

The solution can be deployed on:

• CPUs, GPUs, and TPUs.
• Desktops
• Clusters
• Mobiles and
• Edge devices
• Beginners and experts can use APIs provided by TensorFlow for development.

Pros:

• Good community support.
• Features and functionalities are good.

Cons:

• It is difficult to learn and will take time to learn it.

Tool Cost/ Plan details: Free.

Click here for the official URL.

#5) H2O.AI

H2O AI is for banking, insurance, healthcare, marketing, and telecom. This tool will allow you to use programming languages like R and Python to build models. This open source machine learning tool can help everyone.

Features:

• AutoML functionality is included.
• Supports many algorithms like gradient boosted machines, generalized linear models, deep learning etc.
• Linearly scalable platform.
• It follows a distributed in-memory structure.

Pros:

• Easy to use.
• Provides good support.

Cons:

• Documentation needs improvement.

Tool Cost/ Plan details: Free

Click here for the official URL.

#6) Cortana

Cortana, – a virtual assistant, will perform multiple tasks like setting reminders, answering your questions etc. Supported operating systems include Windows, iOS, Android, and Xbox OS.

Features:

• It can perform several tasks, – right from placing an order for a pizza to switching on the light.
• It uses the Bing search engine.
• Supported languages include English, Portuguese, French, German, Italian, Spanish, Chinese, and Japanese.
• It can take voice inputs.

Pros:

• Voice recognition can save time.
• It provides many featured skills.

Cons:

• Some featured skills like FitBit scenarios and OpenTable are available only for the US.

Tool Cost/ Plan details: Free

Click here for the official URL.

#7) IBM Watson

IBM Watson is a question answering system. It provides support to SUSE Linux Enterprise Server 11 OS with the help of the Apache Hadoop framework. When you train your model with Watson, it will deeply understand the real concepts.

Features:

• Supports distributed computing.
• It can work with the existing tools.
• Provides an API for application development.
• It can learn from small data as well.

Pros:

• Robust system.
• Helps in making business processes smarter.

Cons:

Tool Cost/ Plan details: Free.

Click here for the official URL.

#8) Salesforce Einstein

It is a Customer Relationship Management (CRM) system. This smart CRM system is for Sales, Marketing, Community, Analytics, and Commerce.

Features:

Sales:

• Provides more awareness about the opportunities.
• Captures data and saves the effort of data entry by adding new contacts.
• Helps in prioritizing the opportunities based on history.

Marketing:

• It will help in giving recommendations for the best products.
• Image recognition will help in providing deeper insights like where a specific product will be used more etc.
• Engagement scoring is one of its important features.

Several other features are provided for analytics, platform etc.

Pros:

• No need for managing the models.
• No data preparation is required.

Cons:

• Difficult to learn.
• It is expensive.

Tool Cost/ Plan details: Contact them for their pricing details. Salesforce provides a 30-day free trial.

Click here for the official URL.

#9) Infosys Nia

Infosys Nia will help the enterprises by making complex tasks into simpler ones. It has three components, i.e. Data platform, Knowledge platform, and automation platform.

Features:

• It helps in improving systems and processes, to empower the business.
• It has a conversational interface.
• Provides automation for repetitive and programmatic tasks.
• Automation platform combines RPA, Predictive automation, and Cognitive automation.
• Knowledge platform is all about capturing, processing and reusing the knowledge.
• Data platform provides advanced data analytics and machine learning platform.

Pros:

• Infosys Nia provides Chatbot, Advance machine learning, and business applications.
• It helps in capturing knowledge from different processes and systems.

Cons:

Tool Cost/ Plan details: Contact them for pricing details.

Click here for the official URL.

#10) Amazon Alexa

It is also a virtual assistant like Cortana. It can understand English, French, German, Japanese, Italian, and Spanish.

Features:

• API is provided to support development.
• It can be integrated with the existing products using AVS (Alexa Voice Service).
• It is a cloud-based service.
• It can be connected to devices like Camera, lights, and entertainment systems.

Pros:

• It can be used on millions of devices.
• Provides support to build more Alexa gadgets.

Tool Cost/ Plan details: Free with some amazon devices or services.

Click here for the official URL.

#11) Google Assistant

It is a virtual assistant by Google. It can be used on mobiles and smart home devices. Supported operating systems include Android, iOS, and KaiOS. Languages supported by Google Assistant are English, Hindi, Indonesian, French, German, Italian, Japanese, Korean, Portuguese, Spanish, Dutch, Russian, and Swedish.

Features:

Functions which Google Assistant can do are:

• Supports two-way conversation.
• Search for the information on the internet.
• Event scheduling
• Setting alarms
• Can do hardware settings on your device.
• Can display you the Google account information.
• It can recognize objects, songs, and can read visual information.

Pros:

• It can be on your phone, speaker, watch, laptop, car, and TV.
• You can delete the previous conversations.

Cons:

• To use it with speakers, you must have Google Assistant enabled speakers.

Tool Cost/ Plan details: Free. You can download or install it from the play store.

Click here for the official URL.

Additional Tools

#12) Ayasdi

Ayasdi provides AI for Finance, Healthcare, and Public sector. It provides a framework for application development that is scalable, reliable, and manageable.

Click here for the official URL.

#13) Scikit learn

It is an open source, simple, and reusable data analysis tool. It is for classification, regression, the grouping of objects, pre-processing, model selection and dimensionality reduction. This tool is for the Python programming language.

Click here for the official URL.

#14) Meya

This tool is for developers. It provides the cognitive platform. Using this platform, the developer will be able to build, train, and host their bots.

Click here for the official URL.

#15) Viv

Viv provides an AI platform to the developers to distribute their products. Viv is a personal assistant developed by Siri.

Click here for the official URL.

#16) BlockChain

BlockChain is a free wallet. It is for digital currency transactions. You will be able to send, receive, and store digital currencies.

Click here for the official URL.

Conclusion

In this article, we have explored all the top Artificial Intelligence Software that is available in the market.

For Machine learning all the above-mentioned software are good but when compared to the others in the top 10, Azure Machine Learning Studio & H2O are much easier to use.

As a virtual assistant Google, Alexa, and Cortana are equally good.

=> Contact us to suggest a listing here.

Artificial Intelligence or machine intelligence is defined as a simulation of human intelligence processes. With advanced technology, AI is growing at a rapid pace taking up space in the industry of all types. AI is concerned with the development of smart machines that can perform tasks that require human intelligence. This is an automated technique where machine acts like humans. Artificial Intelligence works with multiple approaches and will continue this journey in the future ahead.

What is an AI software?

Artificial Intelligence software helps in automating processes, making jobs effortless by saving more of user time and energy and increased efficiency and productivity. With efficient AI software, we can transform anything from scratch into a valuable document. Combining Artificial Intelligence and machine can make day to day life simpler and easier.

AI Features

• Artificial Intelligence Platforms: It provides a platform for developing an app from scratch and for this, many built-in algorithms are embedded in this. With drag and drop facility, it is easy to use.
• Chatbox: It is used by most of the leading companies to automate conversations. With AI software replies to the chat and responds on behalf of the company.
• Deep Learning Software: It comprises speech recognition, image recognition, etc.

Top Picks For Artificial Intelligence Software For PC

1. Google Cloud Machine Learning Engine

Google Cloud Machine Learning Engine helps in training models and the components are provided by a cloud machine learning engine includes Google cloud platform console, etc. After the model is ready, you will be able to make predictions, monitor them and manage your models with its versions. Its three components are: Google Cloud Platform Console has a UI interface for deploying and manage models, versions and jobs. Gcloud, a command-line tool to manage models, and Rest API is meant for online predictions.

Get it here

2. Braina Virtual Assistant

One of the most popular artificial intelligence software, Braina is a virtual assistant application for Windows. It works as a personal productivity software that reacts to a user’s voice commands and performs different tasks. It has built-in speech recognition technology wherein a user can interact with nearby computers remotely. It has both free and paid versions, making it an incredible virtual assistant to accomplish various operations quicker and easier. It is a human language interface, automation and voice recognition software that works well with Windows and takes full control using natural language commands.

Get it here

3. Azure Machine Learning Studio

Azure Machine Learning Studio is yet another AI software that is capable of deploying models in cloud and on-premises providing a better user-based solution. It is a combination of drag and drop tool and can be used to build a predictive analytics solution on data. Azure ML Studio is simple to use wherein no programming skills are required. Azure is available for free but you can upgrade the plan anytime by paying additional charges. This AI tool is a powerful composition of ML experiments and its operations and consumptions. Azure is a service that enables you to build, deploy, and share predictive analytics solutions easily.

Get it here

4. TensorFlow

TensorFlow is again a great open-source AI software for Windows to help you develop and train machine learning models. It has a comprehensive, flexible ecosystem having multiple tools, libraries and community resources that further helps in easy model building, robust ML production anywhere and can take new ideas from simple and flexible architecture. TensorFlow is a widely used app of Artificial Intelligence. Here, the user has to type a keyword in the search bar and then Google will provide recommendations based on what could be the next word.

Get it here

5. H2O.ai

Another amazing Artificial Intelligence software for enterprises that has multiple useful features and functionalities, H2O.ai is used in various industries from banking, insurance, healthcare, marketing, and telecom, allowing you to use programming languages like R and Python to build models. You will be able to create and train models in various environments. H2O.ai is indeed a fabulous software with awesome functionalities that you cannot miss checking. A user does not need to have vast knowledge and expertise in deploying or tuning ML models.

Get it here

Artificial Intelligence Software Are Beneficial- How?

AI is there to help humans by making their machines smart. Artificial Intelligence is beneficial for its:

• 24*7 availability as machines doesn’t need frequent breaks as humans.
• It is as necessary as our daily meal (for eg. Smartphone).
• It provides amazing digital assistance by thinking rationally.
• With AI and science of robotics, we can handle huge data volume.
• AI helps in reducing errors and enhances the chances of reaching higher accuracy.

With these benefits, we believe that AI software were needed and will be forever in need to keep human life go smooth with technology advancements. What do you think of AI and AI software? Let us know in the comments section below.

Subscribe to our newsletter for more tech-related content. Follow us on Social Media.