Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal. A subset of artificial intelligence is machine learning, which refers to the concept that computer programs can automatically learn from and adapt to new data without being assisted by humans. Deep learning techniques enable this automatic learning through the absorption of huge amounts of unstructured data such as text, images, or video.

Web development is the work involved in developing a Web site for the Internet (World Wide Web) or an intranet (a private network).[1] Web development can range from developing a simple single static page of plain text to complex web applications, electronic businesses, and social network services. A more comprehensive list of tasks to which Web development commonly refers, may include Web engineering, Web design, Web content development, client liaison, client-side/server-side scripting, Web server and network security configuration, and e-commerce development.

Among Web professionals, “Web development” usually refers to the main non-design aspects of building Web sites: writing markup and coding.[2] Web development may use content management systems (CMS) to make content changes easier and available with basic technical skills.

                                       Types Of AI Software

There are four different types: 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. Chatbots: This software will give the effect that a human or person is doing in a conversation. Deep Learning Software: It includes speech recognition, image recognition etc. Machine Learning Software: Machine learning is the technique which will make the computer to learn through data.

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.

 

 

Comparison Table Of AI Software

Enlisted below are the best Artificial Intelligence Software that is available in the market.
AI ToolsFunctionalitySupported OS/ Languages/PlatformBest FeaturePrice
Content DNA PlatformMachine Learning/Computer Vision.Suits both Cloud and On-premises deployment models.Unsupervised Machine learning.
Training on your data.
One time fee.
Google Cloud Machine Learning EngineMachine LearningGCP ConsoleTrains model on your data.
Deploy it.
You can manage it.
Per hour per training unit costs:
US: $0.49
Europe: $0.54
Asia Pacific: $0.54
Azure Machine Learning StudioMachine LearningBrowser basedModel will get deployed as a web service.Free
TensorFlowMachine LearningDesktops,
Clusters,
Mobile,
Edge devices, CPUs,
GPUs, & TPUs.
It is for everyone from beginners to experts.Free
CortanaVirtual AssistantWindows, iOS, Android, and Xbox OS.

Supported Languages: English, Portuguese, French, German, Italian, Spanish, Chinese, and Japanese.
It can perform so many tasks from setting reminders to switching on the lights.Free
Amazon AlexaVirtual AssistantOS: Fire OS, iOS, & Android.

Languages: English, French, German, Japanese, Italian, and Spanish.
It can be connected to devices like Camera, lights, and entertainment systems.Free with some amazon devices or services.
Google AssistantVirtual AssistantOS: Android, iOS, and KaiOS.

Languages: English, Hindi, Indonesian, French, German, Italian, Japanese, Korean, Portuguese, Spanish, Dutch, Russian, and Swedish.
Supports two way conversation.Free

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.

 

Visit Content DNA Platform Website

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) 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.

 

6) 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.

.

7) 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.

 

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.

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