Abstract graphic face KI Technology web data background

NTT DATA Business Solutions

How Artificial Intelligence Technology Can Transform Work

Machine Learning, Robotic Process Automation, and Conversational AI are Here to Change Your Business. Discover more about Artificial Intelligence Technology.

Watch our on demand webinar

Artificial intelligence technology helps companies to learn from experience.

What Is Artificial Intelligence Technology?

Artificial intelligence technology (AI) is an umbrella term referring to technology that allows machines to perceive, understand, act, and learn. Machine learning algorithms (ML), robot process automation (RPA), facial recognition, and voice recognition are some of the most common examples, but the field is broad and includes numerous applications of artificial intelligence.

AI can be categorized into three different levels of complexity:

Level 1: Technology capable of recognizing patterns, such as those in images or speech.

Level 2: Technology that can link data and make predictions based on probabilities.

Level 3: Technology that can discover new connections and learn from experience.

Artificial intelligence technologies use voice recognition and facial recognition.

You Already Use Artificial Intelligence in Your Daily Life

Artificial intelligence technology (AI) is already part of our everyday lives. Below are a few of the more common applications of artificial Intelligence that you might encounter and not even realize it.

Virtual Assistants: Virtual assistants – like Google Assistant or Amazon Echo – use conversational AI and voice recognition to create interactive two-way experiences. You might, for example, ask to add an event to your calendar. The various AI technologies would analyze your speech, determine what was relevant about the command, and then ask for more detailed information before adding the event to a structured data set (the calendar).

Smart Homes: Smart homes use connected devices, like AI-enabled home security cameras and thermostats. Google Nest, for example, can learn a resident’s habits and adjust the inside temperature depending on whether they’re home or at work, awake or asleep.

Media Recommendations: Services like Netflix, Spotify, and YouTube use AI to learn what users enjoy or don’t like. They then make recommendations based on those insights.

Ridesharing: Services like Uber and Lift use AI to make predictions about how long a user will have to wait for a pickup, or how much longer it will be before they arrive at their destination.

Machine learning generates artificial knowledge from experience

What Is Machine Learning?

Machine learning is an umbrella term for a kind of artificial intelligence that learns from experience. Machine learning algorithms are perfect for solving complex, large-scale problems. The technology is often used to make predictions based on human or environmental behavior or to find previously unnoticed inefficiencies or patterns in large data sets.

Machine learning systems are specialized systems that can only be used efficiently and to their full potential in their trained areas. How does it work? Machine learning requires an algorithm based on data. This algorithm is then ‘trained’ so that it can do a specific job. While the algorithm works, the data pool constantly grows as changing conditions are observed. By incorporating this additional data, the algorithm continues its training, ‘learns’, and expands its capabilities step by step. This is where NTT DATA Business Solutions can help.

Leveraging Machine Learning for Predictive Maintenance - Innovation to the Point
Watch on Leveraging Machine Learning for Predictive Maintenance - Innovation to the Point

How Machine Learning Brought Predictive Maintenance to Xervon

NTT DATA Business Solutions used machine learning algorithms, sensor technology, and weather forecasting to help Xervon understand how many cooling towers it needed to run at any given time. This saved the company money by reducing energy costs. It also helped Xervon to plan maintenance for periods when it expected towers to be offline.

Learn more about the Xervon case

Machine Learning Best Practices

Guide about a Machine Learning project
White Paper
Your First Machine Learning Project in Just 60 Days

Our strategic guide explains the steps how to implement a machine learning tool in just 60 days and at reasonable costs in your company.

Download the Whitepaper

Artifical Intelligence - A Future Is Happening Now

AI is capable of some amazing things that would have been science fiction even a decade ago.

Thomas Nørmark Global Head of AI & Robotics

How Can AI Benefit Your Company?

In the past, business decisions were heavily dependent anecdotal evidence. Today, the situation is much different. As more devices are connected, the amount of data grows exponentially. Maximizing value from large datasets is now the challenge.

With artificial intelligence technology you can use all that data to make informed and accurate decisions and become an intelligent enterprise. IoT sensor data, for example, can be combined with AI-enabled cloud-based services to increase supply chain efficiency. Robotic process automation (RPA) streamlines repetitive tasks and eliminates human errors. Digital avatars can free up valuable time for your employees and optimize services for your customers. Machine learning can improve forecasting. Do you have data that is abundant but underused? Perhaps AI can help.

Our Artificial Intelligence Innovation Showcases in Practice

Artificial Intelligence Examples for Your Line of Business

Customer Service

Chatbots with conversational AI are typical in online customer service settings, pointing users toward relevant information based on typed queries.

Physical robots, known as digital humans or digital avatars, can help customers in brick and mortar shops. The shop robots are equipped with monitors and can answer questions and direct people to the goods they are looking for.

Learn more about Conversational AI

Financial Management

Financial managers use AI to speed up trades and make market predictions. Bots can save time on data entry tasks. They can assist in more complex tasks as well, reducing human error by automating cash flow, for example, or ensuring that complex compliance measures and legal requirements are adhered to.

Human Resources

Chatbots and RPA bots can automate common and repetitive HR tasks, like filling out forms, scanning emails for key information, and data input. AI can help narrow large groups of applicants into a few standout candidates, and technology can improve your organizations workforce by identifying employees who at risk of leaving.

Sales and Marketing

AI can help with customer relationship management by predicting which customers are about to leave and why. Are they strategically important customers? Can something be done to satisfy them? With AI, it’s possible to analyze which customers need extra attention right now.

Image analysis can streamline categorization and assessment processes. At an online furniture resale website, for example, the dealers must normally take pictures of every chair, identify the designer, describe the chair’s functionality, detail wear and tear, and set the price. AI image analysis can manage those processes automatically.

Supply Chain Management

IoT technology like track and trace has added a level of precision to delivery services that didn’t exist a short time ago. It’s now possible to not just schedule the day of delivery but to predict exactly when a package might arrive.

Learn more about the Internet of Things

On Demand Webinar: Utilize AI, RPA and Machine Learning within SAP S/4HANA

Our expert Adrian Kostrz shares in this on demand session insights on the intelligent suite SAP S/4HANA and its integrated functionalities empowered by Artificial Intelligence, Machine Learning, and Robotic Process Automation. Explore how these advanced technologies complete the puzzle of an Intelligent Enterprise and how they can be easily adapted to your real business model and processes.

Watch on Demand

SAP’s AI-Integrated Solutions

How to Start Your AI Project – Co-Innovate with Us

At NTT DATA Business Solutions, we specialize in bringing new ideas to different industries through co-innovation. It’s not a one-sized-fits-all approach but a unique, modular, and iterative approach. Think of it as a roadmap guiding you from your starting point, wherever it may be, to your destination, and we’ll be there for the ride. The goal is always the same: turn innovation into value.

Learn more about our Innovation Consulting

Contact Us Today

Are you searching for answers or would you like to receive more information on AI?

Get in touch with me today, and let’s discuss where your pain points lie, what you want to achieve, and how we can help you do that.

Thomas Nørmark

Thomas Nørmark

Global Head of Innovation