Artificial Intelligence is one of the most used modern technologies that encounter breakthroughs every other day. It has become a crucial part of business software and will continue to provide innovative solutions in the upcoming future. Most corporations like Microsoft, Google, and Amazon have already incorporated AI algorithms in their everyday functionality to automate the tasks for users as well as employees.

Though some people believe that artificial intelligence will replace their jobs, that’s not true at all. AI applications are designed to make your job easier, not to replace it. With the help of various AI solutions like Chatbot development or smart search, it is now much easier for businesses to assist their customers and provide better services.

So, if you are one of the best AI development companies providing AI development services to various business domains, then it is crucial to stay up-to-date with the latest AI development tools. This article aims to introduce you to the AI software development tools that you should look out for in 2020.

1. Google Cloud AI Platform

The Google Cloud AI platform is one of the most popular AI Development tools enabling developers to train, host, deploy, and share machine learning models. Also, it is efficient and very cost-effective as compared to other tools, which makes it an ideal choice of professionals for deploying their project ideas. It is included with the following features:

• Offer various capabilities like machine learning, GC Cloud, REST API, Deep Learning, etc.
• Helps in training, analyzing, and tuning your model
• Allow you to get predictions for the deployed project, monitor those predictions, as well as manage your models and its versions
• Comes with NLP capabilities that can be used to find out the meaning and structure of the text

The cost of the Google Cloud AI platform is different for different countries. For example, in the US, it is $.049/hour per training unit, whereas, in Europe, it is $0.54/hour.

2. TensorFlow

It is a popular machine learning platform that is known for transmitting high-performance numerical computations. Also, it comes with excellent architecture support that makes it easy to deploy computations across mobile devices, desktops, and servers. TensorFlow consists of the following capabilities:

• Serves as a whole ecosystem that provides solutions for real-world problems in artificial intelligence
• Allows you to choose from a variety of abstractions based on your requirements
• Integrated with high-level APIs like Keras for building and training models
• Supports the creation of complex technologies for research and development

It is an open-source tool that is completely free to use.

3. Azure Machine Learning Studio

Azure ML Studio is specially designed for companies that don’t have coding expertise, as it allows them to create AI applications with minimal coding knowledge. Also, it helps in deploying your models as a web service, which will be platform-independent while being able to use any data source. It offers the following functionalities to users:

• Simplifies the entire data science work process for AI development companies
• Allows you to deploy your models in the cloud as well as on-premises
• Can easily be integrated with open-source technologies
• Comes with the drag-drop feature, which makes it easier to use

It comes with a free trial that provides you with more than 25 services with one account. If your business requirements are more than that, then you can easily upgrade your subscription by paying extra charges.

4. IBM Watson

IBM Watson is a well-known name in the AI software development tools that are specifically tailored for industries like Advertising, Oil & Gas, Healthcare, Financial Services, Internet of Things, etc. It supports SUSE Linux Enterprise Server 11 OS using the Apache Hadoop framework. One of the greatest advantages of using Watson is that it understands the real concepts of training your model. Features of IBM Watson are as follows:

• Allows building AI-powered conversational interfaces into your app by integrating Watson Assistant
• Comes with extensive and useful developers tools like SDKs with a detailed documentation
• Combined with Natural Language Processing capabilities, which is known as Watson Natural Language Understanding (NLU)
• Supports distributed computing and provides an API for application development

IBM Watson is an open-source development tool for cloud environments.

5.   Infosys Nia

Infosys Nia is an AI platform that helps companies build AI-powered applications while converting complex tasks into simpler ones. It consists of three major components – Data platform, Automation platform, and Knowledge platform. Moreover, it is helpful in improving systems and processes to empower businesses.

• Advanced ML that provides a variety of ML algorithms for building high-performing ML models
• Comes with contracts analysis capability that is included with deep learning, ML, and semantic modeling
• The automation platform helps combine RPA, Predictive automation, and Cognitive automation
• Helps in building AI-powered chatbot development, advanced machine learning, and business applications

Infosys Nia has different pricing categories based on your business needs. You can check out the pricing details here.

These are the top AI Development tools that every AI development company should checkout in 2020.

Final Words

Artificial Intelligence is evolving with each passing day, and it is providing the IT industry with new software solutions and innovations. Thus, AI development service providers must keep up with the latest trends and tools for artificial intelligence. In this article, we talked about the top five Artificial intelligence software development tools that every business should look out for in 2020.

A detailed study on the Business Intelligence Tools market 2019 is expected to grow at a strong CAGR by 2024. Which was predicted to accrue commendable proceeds by the end of the projected timeline, was presented in report. This research provides information on global Business Intelligence Tools market trends, size, current remuneration, estimates of revenue, and forecast market share perspectives. This study also provides the growth rate expected to be recorded by the Business Intelligence Tools industry over the expected period, driven by some variables, a summary of which has been clarified herewith. The Business Intelligence Tools research report included some of the difficulties and growth opportunities that prevail in this industry.

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Top Players Overview:

Lexalytics, Sysomos, Lingumatics, Abzooba (Xpresso), General Sentiment Inc., Medalla, Tableau Software, Actuate Corporation, Oracle, CloudAnalytics, Good Data, Qlik Technologies, IBM, SAP, Tibco, SAS

The Business Intelligence Tools study provides an extensive market assessment. It does so through in-depth qualitative insights, historical information, and verifiable market size projections. The estimates in Business Intelligence Tools report were obtained using established methodologies and hypotheses of studies. The report thus serves as a repository of assessment and Business Intelligence Tools industry facets, including but not restricted to: regional markets, technology, product types, and applications.

Products Type Covered:

• Cloud Based
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Applications Covered:

• Large Enterprises
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Global Business Intelligence Tools Market, Geographic Scope

Americas, United States, Canada, Mexico, Brazil, APAC, China, Japan, Korea, Southeast Asia, India, Australia, Europe, Germany, France, UK, Italy, Russia, Spain, Middle East & Africa, Egypt, South Africa, Israel, Turkey, GCC Countries

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Global Business Intelligence Tools market current scenario and dynamics for the 2019-2024 Initially, the study offers descriptions linked to basic overview, the status of development, recent advances and trends, enablers of market growth, and restrictions. This Business Intelligence Tools report contains both the demand and supply sides of the industry. The report profiles and analyzes the market leading companies and several other prominent companies.

For those who are looking for comprehensive data on the Business Intelligence Tools market, this report is an important reference. The study includes data on markets, including historical and future production trends, global Business Intelligence Tools market size, prices, trading, competition and value chain, as well as information on significant suppliers. The report also offers an overview of the market in relation to the Business Intelligence Tools information, including classification, implementation, manufacturing technology, assessment of the industrial chain and the recent market dynamics.

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The e-learning is the subject that is in trend in the present era. The technology has got a huge boost in the past some years that have opened a number of fields in the market. Those who want to learn different things and get a professional degree for the same can also join some of the institutes that offer e-learning offered by different players in the same field. It is due to the internet that one can have thorough information on the subjects of one’s choice. The content of the learning is developed by experts who possess vast experience in the concerned field. Many of the experts here offer best of the class e-learning tools which can help one get complete information and required qualification.

Opting for a right authoring tool is very important for the successful implementation of E-learning. Whether it is designed for working adults or students, the aim is to provide quality content and format that keep the learner satisfied.

Factors to consider before E-learning development tools

• Consider the goals of e-learning
• The audience (targeted people for whom it will get designed).
• The delivery device (laptop, desktop, Smartphone, tablet, etc.).
• Features of the e-learning development tool.

Now the image of e-learning development has been reformed due to the transformation of authoring tools. The time has been reduced about 40% needed for developing e-learning courses due to these online course authoring tools.

Availability of customization

The different aspects of e-learning modules are developed by the company considering the organization’s business practices, values, and brand image. Developing tools have default templates making the customization easier as e-learning is not just a mode of information transfer; it is an organization’s asset.

Smoother development

The concerned tools developed simpler and understandable interfaces which enable the user to change the settings or parameters more conveniently as compared to code-heavy methods of developing the course. It can enable individuals who are not enough technically competent, develop user-friendly and quality courses with no training.

Helps in cash control

You don’t have to hire extensively experienced developer and pay a heavy amount to design your course with developing tools you can develop it on your own investing some time in it. Lesser development time leads to time-saving.

One-stop solution for all devices

A responsive authoring tool ensures the content can adapt to the different kind of devices like desktop, smartphones and tablets and their screen sizes to give an excellent learning experience.  E-learning development tools have extra advantages by enabling easy access to update and revise.

Flexible and scalable

E-learning enables the User to learn according to their convenience at any place at any time. It helps reach remote locations or deliver on-site training. Communication is easier through this like new policies, ideas, concepts everything can be updated and communicated smoothly. So make sure to choose the best e-learning tools to enhance productivity.

So it is advised to thoroughly take the trails of the concerned tools before choosing the right e-learning development tool for the company or any organization.