Transforming Work with Artificial Intelligence Technology

Change Your Business with Machine Learning, Robotic Process Automation, and Conversational AI. Learn more about Artificial Intelligence Technology.

Contact us

What Is Artificial Intelligence Technology?

Artificial intelligence technology (AI) is a broad term that signifies the technology that enables machine perception, understanding, acting, and learning. This extensive field covers many artificial intelligence applications, including voice recognition, robot process automation (RPA), machine learning algorithms (ML), voice recognition, and facial recognition to cite a few commonly used examples.

We can specify three different complexity levels for AI:

Level 1: Covers the technology which can perform pattern recognition in speech, images, etc.

Level 2: Covers the technology that is capable of linking data and making probability-based predictions.

Level 3: Covers the technology that is able to find out new connections as well as acquire knowledge based on experience.

You Already Use Artificial Intelligence in Your Daily Life

We already use artificial intelligence technology (AI) in our daily lives. The following are more commonly used artificial intelligence applications which we come across in daily life but may not readily recognize as artificial intelligence.

Virtual Assistants: Virtual assistants such as Amazon Echo or Google Assistant– devise interactive bidirectional experiences making use of voice recognition and . For instance, when you ask for an event to be added to your calendar, your speech would be analyzed by different AI technologies to determine the relevant elements of the command, and before performing the action (adding the event to the calendar, which is a structured data set), more detailed information could be requested.

Smart Homes: In smart homes, connected AI-enabled devices such as thermostats and home security cameras are used. For instance, Google Nest is able to learn the habits of a resident and make indoor temperature adjustments based on whether they are inside or outside, sleeping or awake, etc.

Media Recommendations: Using AI to find out users’ preferences, services such as YouTube, Netflix, and Spotify offer insight-based recommendations.

Ridesharing: Using AI, services such as Uber and Lift predict the estimated time until pick up or estimated time of arrival for users

How Can AI Benefit Your Company?

Previously, business decisions were primarily made based on anecdotal evidence. But with the exponential growth of data resulting from connecting more devices today, things have changed. Now, the challenge is to achieve the maximization of value obtained from datasets.

Artificial intelligence technology enables you to become an intelligent enterprise which makes informed and accurate decisions based on all that data can use all that data. For instance, supply chain efficiency can be increased by combining the data obtained from IoT sensors with AI-enabled cloud-based services. By streamlining repetitive tasks, robotic process automation (RPA) helps to eliminate human errors. By employing digital avatars, you can save time for your employees and improve customer services. With machine learning, prediction abilities can be improved. AI can help you to take advantage of the abundance of data in your hands.

Learn more about our Innovation Consulting

Bring Efficiency to Daily Tasks with Robotic Process Automation

A form of artificial intelligence technology, RPA is used for automating repetitive tasks that take time such as extracting data from document or moving files or folders.

Conversational AI Helps You Deliver a Better Customer Experience

Used by messaging apps, digital humans, and customer support chatbots, conversational AI signifies the ability of a machine to make sense and use of human language in real time.

What Is Machine Learning?

Machine learning is a broad term covering the type of artificial intelligence that is able to learn from experience. Machine learning algorithms are ideal for use in tackling complex, large-scale problems. This technology is commonly employed to detect undiscovered patterns or inadequacies in large data sets or
make predictions on the basis of human or environmental behavior.

As specialized systems that can be efficiently utilized to their full potential only in the areas they are trained, machine learning systems initially require a data-based algorithm, which is then ‘trained’ to perform a specific task. The data pool continuously expands as the algorithm observes changing conditions. The algorithm continues to ‘learn’ and expand its capabilities gradually by incorporating this additional data. This is where NTT DATA Business Solutions can come into play.

Contact us

How Machine Learning Brought Predictive Maintenance to Xervon

To help Xervon figure out the number of cooling towers that need to be run at any given time, NTT DATA Business Solutions made use of machine learning algorithms, weather forecasting, and sensor technology. This enabled the reduction of energy costs, saving the company money. Also, Xervon is now able to make maintenance plans based on when the towers are expected 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 describes the steps to be taken to develop a strategy to transform the competition base in your industry. Discover more about the unexploited potential of machine learning.

Download the whitepaper now
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.

Download the whitepaper now

Artificial Intelligence Technology Business Examples

Customer Service

Chatbots using Conversational AI-based chatbots are typically used in online settings of customer service to guide users toward the information they requested by way of typing.

In brick and mortar shops, physical robots that are also known as digital humans or digital avatars can be employed to help customers. Equipped with monitors, these shop robots are able to  respond to customers’ questions and help them find the goods they are searching for.

Financial Management

AI can help financial managers to make market-related predictions and accelerate trades. Saving time on data input tasks, bots can also provide assistance in more complex tasks such as automating cash flow and ensuring compliance with complex measures and legal requirements. They help with reducing human errors.

Learn more about our financial management capabilities

Human Resources

Chatbots and RPA bots can be used to automate commonly performed repetitive HR tasks such as filling out forms, scanning e-mails to find key information, and data entry. AI can identify a few remarkable candidates among a large number of applicants and help with workforce improvement by identifying workers who are likely to leave.

Learn more about our HR capabilities

Sales and Marketing

By making predictions about customers who are likely to leave as well as their reasons, AI can help improve customer relationship management. Are they of strategic importance? Is there anything you can do to retain them? AI enables you to analyze those customers who are in need of immediate extra attention.

With image analysis the processes of categorization and assessment can be streamlined. For example, dealers at an online furniture resale website need to photograph every item, specify the designers, describe the functionalities, give details of depreciation, and determine the prices. Using AI image analysis, these processes can be managed automatically.

Learn more about our sales and marketing capabilities

Service Maintenance

Sensors and image analysis can be utilized to monitor equipment and installations, identify patterns that could indicate maintenance requirements. With such smart sensor technology, maintain wind turbines, bridges, and drilling platforms can be maintained. Maintenance needs can be predicted and this way, maintenance personnel can better schedule downtime and increase the availability of relevant spare parts.

Learn more about our maintenance service capabilities

Supply Chain Management

IoT technologies such as track-and-trace have helped achieve an unprecedented level of precision in delivery services. Now, it is possible not only to schedule the day of delivery, but also to predict the time of arrival of a certain package.

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

As NTT DATA Business Solutions, we are committed to bringing new ideas to many industries through co-innovation, on the basis of a unique, modular, and iterative approach. It can be considered a roadmap that guides companies from where they are as their starting point, to their desired destination. intelligence accompanies them in their journey towards turning 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
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

Machine Learning for Pharmaceuticals | Blog Series | Part 1

Danny Groothuis | Jul 25, 2020

NTT DATA Business Solutions – Innovation to the Point

We are all for using AI in an innovative way to create value, rather than opting for it as the latest trend. At NTT DATA Business Solutions, we concentrate on delivering solutions to real problems. In close collaboration, we discover innovative ways to help you improve the profitability of your business. Having decades of experience with SAP customers and non-SAP customers, we create new ideas for your enterprise based on the transfer of knowledge from successful SAP projects in across various industries and countries, after establishing a partnership based on mutual trust. Towards the goal of adding value, we optimize and expand your current processes by integrating new technologies into your SAP or IT infrastructure, or we deliver completely new products and services to you.

Contact Us Today

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

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

Contact Us
Contact Us

Have questions? Please contact us.

Call us at
+90 2166000500
Send a message