How Artificial Intelligence Technology Can Transform Work

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 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.

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 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.

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.