Top 10 Applications of Artificial Intelligence

Sakshi GuptaSakshi Gupta | 5 minute read | June 11, 2020

We have seen movies where everything is automated and machine-driven. Right now, we don’t live in a world like that, but we’re getting there. Future technologies such as artificial intelligence (AI) are pushing us toward an automated world. We all know that AI is getting smarter every day. Almost every industry is adopting AI today. Whether small or big, tech organizations are working on various artificial intelligence applications that will transform the future of industries such as banking, education, finance, healthcare, and so on. There are several AI applications that we see around us and use every day, but we are unaware of them. Undoubtedly, they are reshaping our lives and making it easier. Hence, we must know about artificial intelligence applications that are impacting the world in different ways.

Applications of Artificial Intelligence

We have curated a list of the top 10 applications of artificial intelligence that you should keep an eye on. Let’s start!

  1. Voice Assistant

Many of us use voice assistants for several purposes—shop, search the web for information, schedule appointments, and many other things. The voice assistant that’s disrupting the market is Amazon’s Alexa, which has already found a place in many of our houses. Built with a conversational AI platform, Alexa reacts and responds to human queries more naturally.

In this application, conversational AI

  • Makes powerful computer applications easier to use and accessible to people
  • Interprets speech from anywhere in the house, making Alexa an innovative product

What differentiates Amazon’s Alexa from other voice assistants is the fact that it is an open-source AI application, which is easily accessible to developers across the globe. In the near future, Amazon is planning to give the conversational AI platform a more directed approach powered with a human touch. 

2. IBM’s Watson

IBM’s Watson is a cognitive AI and machine learning application, which is employed by many organizations across various industries such as healthcare, banking, eCommerce, finance, and much more. Built with the latest innovations in machine learning, Watson is an open, multi-cloud platform that enables you to automate the AI lifecycle. By freeing your staff from mundane tasks, you can encourage your employees to focus on more important work. Also, you can anticipate business outcomes, while revamping your practices and workflows.

In this application, using AI,

  • Developers can design robust models from scratch or accelerate time-to-value with pre-built enterprise apps.
  • You can unleash the potential of your data in unique ways. Autonomous Cars

3. Autonomous Cars

Lately, autonomous vehicles are gaining traction and Tesla has evolved to be the frontrunner with its AI-powered autonomous cars running smoothly on the streets.

Tesla’s AutoPilot feature powered by self-predictive capabilities makes it stand out from the other self-driving tech manufacturers. Tesla’s self-driving system is one of the most important artificial intelligence applications.

In this application, artificial intelligence is harnessed to

  • Build a neural network — a system of data, sensors, CPUs, hardware, and software—that processes information and adapts like a human.
  • Provide over the air service

4. Microsoft’s Cortana

Microsoft’s Cortana was designed to compete with other voice assistants in the market such as Google Assistant, Alexa, and Siri. Cortana is a personal productivity assistant that comes with almost all the latest Microsoft products.

Microsoft is making efforts in optimizing and improving Cortana in different ways. Taking steps in this direction, the company has acquired Semantic Machines, a relatively new AI-based startup. The acquisition will help Microsoft to design a similar intelligent assistant like Cortana.

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5. Online Television Programming Model

Until a couple of years ago, entertainment companies were not aware of our likes. But, now, Netflix has emerged as a gamechanger in the TV industry, enhancing our experience.

In this application, artificial intelligence is used to

  • Learn and predict users’ behavior
  • Segment shows and channels based on the user’s likes and past interactions, feeding them exactly what they expect

Netflix employs predictive analytics to analyze and deliver personalized content to its viewers. It analyzes customers’ reactions to movies and shows as well as their past behavior toward the content. As more and more viewers use the platform and artificial intelligence data sets grow, the system becomes more accurate and smarter.

The company has been successful in adopting artificial intelligence in its operations. This way, the online platform has improved the consumer experience and built a relationship of trust with the customers.

6. Music Streaming Service

Pandora is an artificial intelligence application that gains insights into the consumers’ preferences and choices to provide them with the content based on their likes. Through a diverse range of traits and characteristics, each piece of music on the platform gets examined by a group of musicians and audiophiles. Then, it gets custom tags and delivers recommendations using the AI application. Pandora calls this technology as their musical DNA.

The project leverages artificial intelligence to

  • Offer a more personalized experience to its customers.
  • Provide a smart assistant allowing users to choose what they want to listen to using voice commands.

7. Google Brain

Google Brain is a deep learning and artificial intelligence application initiated by Google. One of the most recent developments from Google Brain is Smart Reply, which is a quick messaging tool embedded in Gmail.

Google Brain uses AI to

  • Automate responses
  • Work with text messaging apps running on Android.

8. Capsule Network

This artificial intelligence application is different from the network of habitual convolution. This project processes visual information similar to the human brain. In addition, the network does not require massive data influx reducing errors by 50%.

9. EdgeCase

An e-commerce tool, Edgecase, is designed to boost the conversion rates through the power of machine learning.

The aim of the application is to

  • Offer a more personalized experience for online customers by utilizing predictive analytics and behavioral insights.
  • Help people in finding results, even when they don’t know what they need.

10. AlphaGo

An offshoot of Google’s DeepMind learning, AlphaGo is an artificial intelligence and machine learning application. The application stemmed from the board game Go.

The aim of the application is to

  • Create a model where AI-powered programs can compete and win against human players.

Artificial Intelligence Future

The above mentioned list represents only a few of the artificial intelligence case studies in the world today. The opportunities for an artificial intelligence future will only continue to grow as more organizations take steps in this direction and learn to implement the technology.

Artificial intelligence is automating business operations today and will continue to advance the way we work. The field of artificial intelligence is humongous and there is so much to discover about it. Only AI experts can unlock the technology’s true potential.

For further reading, check out what is data science or learn more about a data scientist’s job description.

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Sakshi Gupta

About Sakshi Gupta

Sakshi is a Senior Associate Editor at Springboard. She is a technology enthusiast who loves to read and write about emerging tech. She is a content marketer and has experience working in the Indian and US markets.