Artificial Intelligence Software is a computer program that mimics human behavior by learning multiple data patterns and insights. The top features of AI software include Machine Learning, Virtual Assistants, Speech & Voice Recognition, etc.
AI combined with Machine learning gives users the required functionality and makes the business process much more straightforward. Artificial Intelligence software is used to develop an intelligent application from scratch with the help of machine learning and deep learning capabilities.
Types of Artificial Intelligence Software
There are four types of artificial intelligence software.
- Artificial Intelligence Platforms: It will provide the platform for developing an application from scratch. Many built-in algorithms are given in this. The drag and drop facility is available to ease the usage.
- Chatbots: This artificial intelligence software will give the effect that a person is doing in a conversation.
- Deep Learning Software: This software includes speech recognition, image recognition, etc.
- Machine Learning Software: Machine learning is the technique to make the computer learn through data.
What Can Artificial Intelligence Software Do?
With the help of AI, we can develop intelligent systems that will help businesses or offices and at home. Smart systems can perform several tasks for us, right from setting the alarm to switching on/ off the lights. Gathering or collecting data from different portals becomes much easier with AI.
When a user want to buy some products or services, he will probably visit the concerned website, where he can get help through online conversation or chatting window that is always available. This 24*7 help is possible only due to AI (Chatbot).
Top Artificial Intelligence Software
Enlisted below are the best Artificial Intelligence Software available in the market.
1) Google Cloud Machine Learning Engine
Google Cloud Machine Learning Engine will help you in training your model. Components offered by Cloud ML Engine are: Google Cloud Platform Console, Gcloud, and REST API.
Features
Google cloud will assist in training, analyzing, and tuning user’s 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 their versions.
Advantages
- Provides good support
- The platform is good
Disadvantages
- Needs improvement in documentation
- Difficult to learn
Tool Cost/ Plan Details
The cost of training vary for, Europe, the US and the Asia Pacific.
- For the US: $0.49/hour per training unit.
- For Europe: $0.54/hour per training unit.
- For the Asia Pacific: $0.54/hour per training unit.
There are different prices for the predefined scale tire, and prices vary based on region.
2) Azure Machine Learning Studio
This tool will help user to deploy the 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 the cloud, on-premises, and at the edge. It provides a browser-based solution. It is easy to use because of its drag-and-drop feature and is scalable.
Advantages
- No programming skills are required
- It can be integrated with open-source technologies
Disadvantages
- Lack of transparency in details of pricing for the paid features
Tool Cost/ Plan Details
It provides a free account. Users will be provided with over 25 services with this account. If required, they can upgrade at any time by paying additional charges.
3) TensorFlow
TensorFlow is a numeric computational tool and is an open-source system. This Machine Learning library is majorly for research and production.
Features
The solution can be deployed on CPUs, GPUs, TPUs, Desktops, Clusters, Mobiles, and Edge devices. Beginners and experts can use APIs given by TensorFlow for development.
Advantages
- Good community support
- Features and functionalities are good
Disadvantages
- It isn’t easy to learn, and it will take time to learn it
Tool Cost/ Plan Details
- It is free of cost
4) H2O.AI
H2O.AI is for insurance, banking, healthcare, marketing, and telecom. This tool will allow users to use programming languages like R and Python to build models. This open-source machine learning tool can be useful to everyone.
Features
AutoML functionality is included. It supports many algorithms like gradient-boosted machines, generalized linear models, deep learning, etc. It is a linearly scalable platform and follows a distributed in-memory structure.
Advantages
- Easy to use
- Provides good support
Disadvantages
- Documentation needs improvement
Tool Cost/ Plan Details
- It is free of cost
5) Cortana
Cortana is a virtual assistant and will perform multiple tasks such as setting reminders, answering questions, etc. Supported operating systems are Windows, Android, iOS, and Xbox OS.
Features
It can perform several tasks, from placing an order for a pizza to switching the light. It uses the Bing search engine. The supported languages include English, Portuguese, French, German, Italian, Spanish, Chinese, and Japanese. It can take voice inputs.
Advantages
- Voice recognition can save time
- It provides many featured skills
Disadvantages
- Some featured skills, such as Fitbit scenarios and OpenTable, are available only for the US
Tool Cost/ Plan Details
- It is free of cost
6) IBM Watson
IBM Watson is a question-answering system. It provides support to SUSE Linux Enterprise Server 11 OS by using the Apache Hadoop framework. When you train your model with Watson, it will deeply understand the actual concepts.
Features
It supports distributed computing and can work with existing tools. It provides an API for application development and can learn from small data.
Advantages
- Robust system
- Helps in making business processes smarter
Disadvantages
- Decentralized reporting
Tool Cost/ Plan Details
- It is free of cost
7) Salesforce Einstein
It is a Customer Relationship Management (CRM) system. This smart Salesforce Einstein CRM system is for Sales, Marketing, Analytics, Community, and Commerce.
Features
For sales, it provides more awareness about the opportunities and, captures data & saves the effort of data entry by adding new contacts. It helps in prioritizing opportunities based on history.
For marketing, it will help in giving recommendations for the best products. Image recognition will help provide deeper insights like where a specific product will be used more etc. Engagement scoring is one of its essential features.
Advantages
- No need to manage the models
- No data preparation is required
Disadvantages
- Difficult to learn
- It is expensive
Tool Cost/ Plan Details
- Contact them for their pricing details. Salesforce provides a 30-day free trial.
8) Infosys Nia
Infosys Nia will help enterprises by making complex tasks into simpler ones. It has three components, namely, Data platform, automation platform, and knowledge platform.
Features
It helps improve systems and processes, empowers the business, and has a conversational interface. It provides automation for repeated and programmatic tasks.
The automation platform combines Predictive automation, RPA, and Cognitive automation. The knowledge platform is about capturing, processing, and reusing knowledge. The data platform provides advanced data analytics and a machine learning platform.
Advantages
- Infosys Nia provides Chatbots, Advance machine learning, and business applications
- It helps in capturing knowledge from various processes and systems.
Disadvantages
- Difficult to learn
Tool Cost/ Plan Details
- Contact them for pricing details.
9) Amazon Alexa
It is also a virtual assistant like Cortana. It can understand English, German, French, Japanese, Italian, and Spanish.
Features
API is provided to support development. It can be integrated with existing products using AVS (Alexa Voice Service). It is a cloud-based service and can be connected to devices like Cameras, lights, and entertainment systems.
Advantages
- Amazon Alexa 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.
10) Google Assistant
It is a virtual assistant by Google and can be used on mobiles and smart home devices. Supported operating systems include iOS, Android, and KaiOS. Languages supported by Google Assistant are English, Hindi, French, German, Indonesian, Italian, Japanese, Korean, Portuguese, Dutch, Spanish, Russian, and Swedish.
Features
Functions that Google Assistant can do are: supports two-way conversation, search for information on the internet, event-scheduling, set alarms, can do hardware settings on your device, can display Google account information. It can recognize objects and songs and can read visual information.
Advantages
- It can be on user’s phone, speaker, laptop, watch, car, and TV.
- Users can delete the previous conversation.
Disadvantages
- The user must have Google Assistant-enabled speakers to use it with speakers.
Tool Cost/ Plan Details
- Free. Users can download or install it from the play store.
Conclusion
For Machine learning, all the software mentioned above is good. As virtual assistants, Google, Alexa, and Cortana are equally good.
