How do Amazon, Facebook, Apple and Google use AI?
Experts Voice
22 April 2019
How do Amazon, Facebook, Apple and Google use AI?
Experts Voice
22 April 2019

How do Amazon, Facebook, Apple and Google use AI?

How do Amazon, Facebook, Apple and Google use AI?

Companies across the world are embracing artificial intelligence (AI) capabilities at a rapid pace,
and today’s leading technology companies — Amazon, Apple, Facebook and Google — are no
exception.

Here’s a look at how the big four tech firms are currently using AI:

Amazon

AI is behind many of Amazon’s most popular efforts. Alexa, its voice-powered virtual assistant, uses natural language processing and machine learning to process user queries and carry out actions like ordering products or controlling smart home devices. In Amazon Go convenience stores, machine vision and algorithms make it possible to track when customers pick up items to make purchases without human cashiers. And as one of Amazon’s longtime AI flagships, its product recommendation technology analyzes user purchases to suggest items that customers may wish to purchase in the future.

Apple

Apple’s embrace of AI makes it easier for developers to create apps that can harness machine learning on Apple devices. Through Core ML, developers get access to machine learning tools for common tasks like image recognition. In 2018, Apple introduced Create ML, a toolkit that makes it possible for developers to learn the basics of how to build machine learning models.

With the introduction of the iPhone X, Apple added a neural engine to its A11 processor to accelerate AI-specific tasks. Combined with developer tools, new and experienced developers alike can easily build applications that take full advantage of machine learning capabilities and AI-focused hardware.

Facebook

Facebook uses machine learning to make predictions about a user’s interests . Analyzing the likes, the likes of friends and location information, Facebook takes that information to determine content a user may enjoy through features like Facebook Watch. The extent of these prediction capabilities can also predict other future behavior, like what products a user may purchase, that can be shared with advertisers.

Google

Google’s commitment to AI stems from its interest in deep learning, where artificial neural networks mimic the way the human brain processes information. The company’s interest in deep learning became public in 2011 through its Google Brain project, a neural network designed for image recognition. Google cemented its commitment to deep learning through the acquisition of Deep Mind, the machine learning company behind the Alpha Go, an algorithm-based digital competitor for the board game Go.

Across Google services, deep learning is used in everything from to natural language processing to providing user recommendations. Its open source TensorFlow machine learning programming platform enables users to develop their own neural network solutions. AI is also at the core of Google’s self-driving car efforts, incorporating deep learning algorithms into its autonomous vehicles.

READ THIS NEXT

DevOps is key to any digital transformation
DevOps boosts the delivery process to the next level with its speed and efficiency. React fast, be first.
Read more

READ THIS NEXT

DevOps is key to any digital transformation
DevOps boosts the delivery process to the next level with its speed and efficiency. React fast, be first.
Read more

RELATED ARTICLES

Embracing AI/ML Innovation: Opinov8's Takeaways from Web Summit 2023

It is imperative for businesses to recognize that the bedrock of successful AI/ML integration begins with efficient data organization. No matter how groundbreaking these technologies are, overlooking the basics can impede progress and hinder the potential for innovation.

Read more

RELATED ARTICLES

Embracing AI/ML Innovation: Opinov8's Takeaways from Web Summit 2023

It is imperative for businesses to recognize that the bedrock of successful AI/ML integration begins with efficient data organization. No matter how groundbreaking these technologies are, overlooking the basics can impede progress and hinder the potential for innovation.

Read more

RELATED ARTICLES

OUR ANNUS HORRIBILIS

We face into 2023 with renewed hope and optimism for our Ukrainian family and our ever-growing company of awesome Opinov8rs across the globeю

Read more

RELATED ARTICLES

OUR ANNUS HORRIBILIS

We face into 2023 with renewed hope and optimism for our Ukrainian family and our ever-growing company of awesome Opinov8rs across the globeю

Read more
1 2 3 30

Let us innov8 with you

The technology innovation partner with a focus on human to human digital solutions and products
UK, London
Office 9, Weyhouse, Church Street, Weybridge, KT13 8NA
Ukraine, Kyiv
58/10, Simi Prakhovykh Street
Egypt, Cairo
11G/4, Ahmed Kamal Street, 
New Maadi
Prepare for a quick response:
 sales@opinov8.com
© Opinov8 2021. All rights reserved.       Privacy Policy
00
crosschevron-down