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.


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.

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.

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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.

Learn more about our Innovation Consulting

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.

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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

Why Machine Learning and Why Now?
White Paper
Why Machine Learning and Why Now?

This whitepaper explains how to develop a strategy that will change the basis of competition in your industry. Find out more about the untapped potential of machine learning.

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Your First Machine Learning Project in Just 60 Days
Expert 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.

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Artificial Intelligence Technology Business Examples

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.

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.

Learn more about our financial management capabilities

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.

Learn more about our HR capabilities

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.

Learn more about our sales and marketing capabilities

Service Maintenance

Sensors and image analysis can monitor machines and installations, identifying patterns that could indicate required maintenance. Such smart sensor technology helps maintain wind turbines, bridges, and drilling platforms. It predicts maintenance needs, which allows maintenance personnel to better schedule downtime and increases the likelihood that relevant spare parts are on hand.

Learn more about our maintenance service capabilities

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 our supply chain management capabilities

SAP’s AI-Integrated Solutions

SAP Data Intelligence

SAP’s new AI/data science platform for managing complex data landscapes, building scalable data pipelines, and provisioning the entire data science process.

Learn more about SAP Data Intelligence on SAP’s website


SAP’s ERP software suite leverages SAP machine learning and predictive analytics in order to learn from exceptions and adapt to business rules. Users can discover insights, make more accurate predictions, and better plan for outcomes. It also recommends next steps and automates processes that can add efficiencies across entire organizations.

Learn more about SAP S/4HANA


A cloud-enabled system that integrates with existing SAP and non-SAP environments and unifies ERP across a corporate ecosystem. The system includes built-in analytics and machine learning functionality and can add a new level of flexibility and insight to your enterprise.

Learn more about S/4HANA Cloud

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

A Future 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

Learn What Our Experts Say about Artificial Intelligence Technology

Artificial Intelligence
A Virtual AI Buddy Helps Kids Learn to Read

Thomas Nørmark | Oct 11, 2021

Artificial Intelligence
Conversational AI: Chatting and Speaking with the SAP S/4HANA System (Part 3)

Dimitri Schweigerdt | Aug 31, 2021

Artificial Intelligence
Intelligent Technologies as an Integral Part of SAP S/4HANA – An Overview (Part2)

Dimitri Schweigerdt | Aug 04, 2021

Artificial Intelligence
How RPA Is Innovating the Life Sciences Industry

Pim Clarance | Jul 01, 2021

How to Digitalize a Tourist Destination

Thomas Kierkgaard | Jun 29, 2021

Artificial Intelligence
Safer, More Efficient Cold Chain Management with RPA

Danny Groothuis | Oct 29, 2020

Artificial Intelligence
Meet Hackstrid – Intelligent Robotic Process Automation in Action

Thomas Nørmark | Oct 06, 2020

Machine Learning for Pharmaceuticals | Blog Series | Part 3

Danny Groothuis | Jul 30, 2020

Machine Learning for Pharmaceuticals | Blog Series | Part 2

Danny Groothuis | Jul 28, 2020

Attend Our ‘Innovation Tuesday’ Webinar Series

2021 – new ideas, new chances, new plans: how to ensure your business is future proof in times of disruption and ever-changing circumstances? How to define the first step towards digital transformation of you company?

Attend our webinar series “Innovation Tuesday” to learn more about innovative technologies, the Intelligent Enterprise, Customer Experience (CX), SAP S/4HANA and cloud-based technologies – get inspired!

More details about ‘Innovation Tuesday’ webinar series

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

Global Head of AI & Robotics, NTT DATA Business Solutions Denmark

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