Introduction to Artificial Intelligence Software
The Artificial Intelligence (AI) platform is made for building an application from scratch. The built-in formula is available for this use. The drag and drop method makes it user-friendly. Chatbots are popular software that provides the human who is involved in the conversation. Deep learning software is also involved in speech and image recognition. Machine learning software is a method that makes the computer learn with available information. Artificial Intelligence is the combined attribute of science and computer that makes the system or program or any machines perform the intelligent and imaginative functions of a human, independently and solution to problems, be able to make decisions.
The main aim of Artificial Intelligence Software Systems is to have the ability to discover, which makes people increase their performance and productivity over time. Artificial intelligent tools include machine learning and deep learning which gives an analysis report to increase the clarity of planning, reasoning, thinking, problem-solving, and also learning.
Types of Artificial Intelligence Software
Below are the different types of Artificial Intelligence Software:
1. Google Cloud Machine Language
This software helps to train the system of users. The elements include the Google cloud platform console, gcloud, and REST API. Google Cloud helps in analyzing, training, and modifying the user’s system. The developed and designed system gets deployed in user infrastructure. Users will receive predictions and monitoring of predictions will be able to manage user design and its related versions. Google Cloud ML has three components include Google Cloud Platform Console, gcloud, and Rest API to design, analyze and deploy on the user interface. It provides stability and firm support.
2. Azure Machine Learning Studio
This tool is used for deployment of user design as web applications in cloud works on an independent platform and able to use available data sources. It offers solutions to browser-based problems It is scalable, simple, and easy to use. Here no programming skills are needed and can be integrated with open-source techniques.
3. Tensor Flow
This is a numeric computational tool in an open-source system. This is an ML repository for research and development. The solutions can be deployed on CPUs, TPUs, GPUs, clusters of mobile phones, and desktops. It offers good communication support and regular functionalities. Both beginners and experienced can use API for development by the Tensor flow. But it takes time to learn about its complete procedure.
4. H2O AI
This software is used for banking, healthcare, insurance, marketing, etc. This is open-source and it allows a user to apply programming languages like R and Python to design systems. Here AutoML feature is included and supports many techniques like gradient boosted machines and deep learning. This program provides a linear platform and executes distributed memory structure.
It is a virtual assistant and runs many tasks simultaneously by setting a reminder and giving solutions to the problem. It operates on Windows, iOS, Android, and Xbox OS. It can also execute a simple task from switching off AC to ordering a cake. It uses Bing search engines and its supporting languages apart from English include Portuguese, Chinese, Italian, and Spanish. It is operated via voice control to save time. But here the main disadvantage is some Fitbit scenarios available only in the US.
6. IBM Watson
It operates like a Q and A session that offers services to SUSE Linux Servers in the framework of Apache Hadoop. If a user designs his system with Watson there is a possibility of high understanding and efficient output from that device. It gathers knowledge from small information and for application development it uses API. It is a robust system that makes smarter business.
7. Salesforce Einstein
It works as a smart Customer Relationship Management system that is used for marketing, sales, commerce, analytics and provides more awareness about the available opportunities that capture and process the data by adding new entities. It operates based on history by prioritization. It suggests the best products. Image recognition gives deeper insights into specific products. It requires no data preparation and management of systems.
8. Infosys Nia
It promotes enterprises by solving complex tasks and helps in improving the system to empower the business. The core components are the data platform, Knowledge platform, and automation platform. It provides a conversational interface and automation for programming tasks. Cognitive and predictive automation lies on the automation platform. Knowledge platform is used for capturing, processing and reusing the data. The Data platform serves the machine learning platform and data analytics.
9. Amazon Alexa
It is similar to Cortana that can understand English, German, French, Italian and Japanese. It is a cloud-based service and can be integrated with existing products using Alexa Voice Service. It can be connected with millions of devices and Bluetooth devices like entertaining systems, camera, lights, etc.
10. Google Assistant
It is a virtual assistant by Google and can be used on smart home devices and mobiles. Android, iOS, and KaiOS are supporting operating systems. Many languages are available like English, German, Japanese, Italian, Dutch, Portuguese, Russian, etc. It is used as a dual way conversation. It can do all the services like setting alarms, display google account information, event scheduling and also can do hardware settings to the devices and used to recognize objects, songs and learn visual information. It can be installed on a car, phone, speaker, watch, laptop.
Tools in Artificial Intelligence Software
Some of the additional tools included are:
- Ayasdi is an Artificial Intelligent tool particularly for finance, Healthcare, and the public sector.
- Scikit learn is a data analysis tool that is available as opensource and it is used for classification, a grouping of objects, regression and dimensionality reduction. Here the programming language is python.
- Meya is used for developers in a cognitive platform that is used to design, built, test and deploy their systems or products.
- Viv is a personal assistant by Siri which provides support to developers to launch their products.
- Blockchain is a wallet for digital banking which is used to send, save and collect their digital currencies.
In daily life, Artificial intelligence is implemented and successfully growing around us in aspects of communication, time management, education, cognition, health, safety measure, traffic control, purchasing, marketing, shopping, and planning. Artificial Intelligence is used in science to design experiments, train the resources, interpret the data, reduce complexity.
This has been a guide to Artificial Intelligence Software. Here we discuss a brief overview with different types of software for artificial intelligence along with additional tools. You can also go through our other suggested articles to learn more –