Top 10 Automated AI Products for You to Aptly Use in 2021

Top 10 Automated AI Products for You to Aptly Use in 2021
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Check out these top automated AI products in 2021

Intelligent Automation (IA) is a combination of Robotic Process Automation (RPA) and artificial intelligence (AI) technologies which together empower rapid end-to-end business process automation and accelerate digital transformation. Here are the top 10 automated AI products to use in 2021.

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 their 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.

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 the 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.

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.

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.

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.

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.

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.

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.
  • The automation platform combines RPA, Predictive automation, and Cognitive automation.
  • Knowledge platform is all about capturing, processing, and reusing knowledge.
  • Data platform provides advanced data analytics and a machine learning platform.

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 Cameras, lights, and entertainment systems.

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.

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