Almost nine zettabytes of data will be stored by 20241 – an inconceivably large amount of information. Much of it is already hidden in documents and applications or completely unstructured in e-mails, pictures and videos. There is enormous potential here for greater efficiency or even for completely new, data-driven business models with artificial intelligence. But many companies do not have an overview of the available data - and thus miss many opportunities.
The more data companies collect from different digital sources, the greater the uses they can put it to. Data-driven companies have recognized this and have firmly anchored AI as DNA in their corporate strategy. Their focus is on intelligent data analysis. With predictive analytics, future events can be predicted, their immediate impact on the business can be predicted and the processes involved can be handled accordingly.
The fields of application for artificial intelligence are diverse and innovative. In medical research, AI helps to decode genomes. In autonomous driving, AI helps to better assess the traffic situation and avoid accidents. And in Industry 4.0, intelligent robots ensure automated and thus significantly faster production processes.
AI enables insurance companies to settle claims digitally in real time: In the event of a car accident, the affected parties document the damage using an app. They record the condition of the vehicles with their smartphone camera. Using live streaming video, algorithms automatically establish who is responsible, determine the amount of damage and the repair costs for the vehicles involved. The insurance app records the entire inventory and provides assistance via chatbot, for example by notifying the towing service or organizing a rental car.
Would you like to find out how you can use big data and artificial intelligence in your company to set up new business models, accelerate innovation and thus increase your turnover? With T-Systems, you can transform into a data-driven company. Together with you, we will assess your data landscape in workshops:
We will show you what you can achieve with your data. In close cooperation with you, we identify future-proof use cases for AI - for example for intelligent machines in production, chatbots in customer service or autonomous transport systems. We implement these in your company and take over the operation, development and maintenance of the AI solution.
Our experts and enterprise architects have years of experience from various AI projects. They know exactly what is important when it comes to data management and application integration. Our data scientists train your systems to recognize patterns - catchphrase: machine learning. They design models and define characteristics in order to analyze your data optimally.
Thanks to our comprehensive partner ecosystem, we are familiar with all technologies related to big data and artificial intelligence. We are familiar with databases and data warehouses. In doing so, we act independently of manufacturers, so that a vendor lock-in can be avoided. We also offer you exactly the best-of-breed solutions that fit your needs. In a way that is cost-efficient, fail-safe and is conforms to compliance and data protection requirements. Cybersecurity and data protection are integral parts of T-Systems' DNA. For us, data security is the top priority in AI projects. This is ensured by our high-security data centers in Germany or the extensive know-how from our Security Operations Center (SOC).
1 IDC study “Global StorageSphere Forecast”, 2020
