PwC suggests that AI could signify $15.7 trillion to the worldwide economy by 2030. Corporations viewing AI as an opportunity for research, talent development, and yield increase have become pioneers in this field.
American Walmart operates a chain of 11,000 hypermarkets. The retailers use the HANA cloud platform to process transaction records from all stores.
Its technology is based on machine learning, i.e., it uses algorithms to learn and respond to any change which appears incorrect.
HANA can warn you that an item is not on the customer’s order and display a message when a machine gets slower. HANA also asks you if a specific activity is really necessary (e.g., service check of the slow machine).
Machine learning technologies, including HANA, allow the operator to collect data in real-time based on which he or she can make decisions faster. Corporations also vastly benefit from the reduction in business operation costs.
The YesElf platform is a classic example of a machine learning technology that aims at adapting users to working with a program.
YesElf displays adaptation help in bubbles (see our project for FIRO tour travel agency).
Creating Written Content
Media, such as Yahoo! Sports, The New York Times, Washington Post, Reuters, and Associated Press, often employ AI to create their content. It might be surprising but the technology is capable of both writing typical news as well as poetic or prosaic pieces of literature.
And how is such content created? There is a software process called natural-language generation. It is used to create quality content based on factual data.
All you need to do at the beginning is to choose a text type and structure. This software creates both said news as well as corporate reports or personalized emails.
There are several available tools to generate natural language, including Google’s Text-to-Speech, Amazon’s Polly, or Automated Insights’ Wordsmith. Some corporations develop their tools.
When compared to human labor, the vast amount of data the tools can process, in a much shorter time, plays in favor of the tools.
Artificial intelligence can even change complicated terms to sound more understandable. And that’s a job; not every content creator can do.
We’ve already discussed chatbots in connection with user onboarding on our blog. But did you know that they can be a great marketing automation tool?
You can tweak the chatbot’s answers to provide customers with exact and personalized information. Providing customers with valuable information at the right time increases the chance of their conversion from visitors to customers.
You are right; chatbots are AI-backed. Furthermore, it is quite common that phones and laptops are equipped with smart speakers. Instead of browsing the online store, you can simply search and find what you are looking for vocally.
Over 55 percent of users owning a device with smart speakers use this technology. Many of them use voice search to add products to the shopping cart.
AI-backed devices for image recognition are like small children. First, they do not know what an object means and have to learn it. But thanks to the neural network, they learn pretty fast.
It is also essential for the device to “see” as many images of the object as possible. The more different pictures, the sooner the item will be recognized.
You might ask what the purpose of such technology is. Let’s take a look at a few examples. Clarifai is a company that uses technology to identify locations or people in pictures, recognize emotions, or inspect the product quality.
Chinese company Sense Time focuses, besides recognition of common objects, on the identification of license plates or car types, and can even figure out text in pictures.
Don’t get these devices confused with giant robots. Even cameras in smartphones and computers employ AI. Reading of QR codes and face recognition to unlock phones are a common example of AI.
If you haven’t heard much about biometrics so far, we will explain its foundations in an easy example.
Imagine a technology that can establish your identity based on your facial features. This is how artificial intelligence works in biometrics: it records the person’s data and his or her characteristics. The data are analyzed and used for various purposes afterward.
Unlike image recognition, biometry works in real-time. Interestingly, AI can quickly establish a person’s identity even if he or she wears a hat, hood, or has a beard.
Even better for the client who uses the technology. It is much easier for shop or casino owners and shipping companies to identify a potentially dangerous person. Biometrical AI is also employed when entering banks or government buildings.
Corporations, such as Agnitio, Sensory, or FaceFirst, specialize in the field of biometry.