The Best Uses of Artificial Intelligence in Business
The growing availability of affordable and flexible computing power is making Artificial Intelligence (AI) and machine learning accessible to many companies, which use technology in various ways.
In that sense, today we present a list of the best uses of IA in business, so you have clear examples of successful applications according to the type of business.
The best uses of AI in business
This is our selection of some of the best uses of IA in business:
Uber
The Uber car transport service has a core team that provides pre-packaged machine learning algorithms as a service to your team of mobile application developers, map experts, and autonomous driving teams.
Tinder
Tinder is using the Amazon Web Services Recognition Service (AWS) with Deep Learning technology to find the best matches for premium users of the dating application.
The system automatically labels the 10 billion photos that users upload daily with personality markers based on what is in the image, to label them as “creative” if they are playing music or “adventurers” if they are climbing.
The tags are combined with other Tinder data to determine the most significant aspects of a profile, whether the user has provided a text profile or not.
Bloomberg
Bloomberg, a financial data specialist, employs hundreds of data scientists to keep users hooked on their ubiquitous terminals: keyboards and monitors that give financial staff access to a wealth of market information.
The general objective is to use techniques such as computer vision and natural language processing to improve the breadth of financial information available through the terminal. This should allow users to make more and more queries on the terminal using natural language instead of specialized commands.
Sky
Sky has been building machine learning models that can make personalized recommendations based on the mood of a viewer at that time by matching their mood with genres and content labels.
The algorithm analyzes keywords to create a weighted set of semantic representations of moods for an individual program or movie. For example, Sky used automatic learning technology from Amazon Web Services (AWS) to automatically tag the famous guests at the Royal Wedding between Prince Harry and Megan Markle.
The names were labeled when they arrived at George’s Chapel at Windsor Castle and added to a list with a biography and information about their connection to the couple. Then, viewers can search the images on demand of their favorite guests.
The Zoological Society of London
SThe Zoological Society of London (ZSL) is using Google’s new Cloud AutoML platform to track wildlife through the automatic analysis of images captured by nature’s cameras.
ZSL uses these cameras to capture the movement of animals and humans and identify threats of poaching. The images must be labeled to analyze the data, what the ZSL conservationists had to do previously.
Virgin Holidays
Tour operator Virgin Holidays is using the software powered by AI from the British company Phrases to automate and optimize the drafting of their email subject lines, with machines that outperform humans by up to 10% when it comes to open rates of utmost importance.
The Wall Street Journal
The Wall Street Journal has been using machine learning to adjust the price for its different readers based on the likelihood that they will subscribe.
The newspaper rates each reader in more than 60 behavioral dimensions, including their location, reading habits and method of accessing the site. Then, these are combined into a total score of 0 to 100 that reflects the probability that they will pay.
EDF Energy
EDF Energy is trying to use AI to help make its nuclear power plant more efficient and to reduce energy consumption in the customer’s home. EDF has been testing AI to perform character recognition to select and process the readings figures of meters sent by customers.
EDF can use machine learning to do pattern recognition to detect trends in the usage data that is collected.
Ocado
Ocado has announced that it is the first AI-based fraud detection system for online grocery shopping. The system identifies orders that are delivered but not paid and determines if it is the result of malicious intent when analyzing data from previous orders.
Ocado engineers deployed a deep neural network using Google’s open source TensorFlow software library and loaded the fraud detection system to a large amount of data in Google Cloud. The online supermarket claims that the system has improved the accuracy of Ocado to detect fraud by a factor of 15.
Ocado is also building an artificial vision system in an effort to replace scanning barcodes in its warehouses, hoping that this will help both within its warehouse and in the delivery processes.
Fukoku Mutual Life Insurance
Japanese insurer Fukoku Mutual Life Insurance is replacing its 34-person workforce with IBM’s Watson Explorer AI.
The replacement artificial intelligence system will calculate the payments on the insurance policies, which, according to the firm, will increase productivity by 30 percent and save about 140 million yen per year in salaries.
Tesco
Tesco is using machine learning algorithms in its business, from internal applications such as driver routing to customer-oriented applications, such as integration with Google’s home support device.