Smart home applications as well as Alexa & Co. show that artificial intelligence is already part of our everyday life. But AI also offers numerous application possibilities in the corporate environment, as we do in second part of our blog series have shown. According to Bitkom study the use of AI applications in companies will therefore increase rapidly in the next few years. In the final part, we therefore want to take a look inside the crystal ball: What can we expect in the future? Which AI applications will soon be part of everyday work? With Robotic Process Automation (RPA) and virtual assistants, we will introduce two of them to you in this blog article and show you how you can prepare for the integration of AI today.
Support from software robots
Robotic Process Automation (RPA) uses digital software robots, so-called bots, which take on repetitive and rule-based processes and thus advance automation. A big advantage is the relocation of capacities: employees can focus on creative tasks, while RPA applications do routine tasks. The bots can, for example, take over the reconciliation of incoming goods and invoices, the processing of offers and orders and the updating of stocks. Another advantage comes into play during implementation: Because the RPA software is platform-independent, it can easily be added to the existing IT infrastructure.
The attentive assistant
Virtual assistants are digital voice assistants that can interact with various programs. For example, the steps required for a business trip “make an appointment”, “book a hotel” and “reserve a company car” can in future be taken over by a virtual assistant who, activated via voice control, processes the defined steps of a workflow one after the other. The advantage: once you have received the necessary information, the assistant does everything else in the background. Various technologies are used so that the virtual assistant can query and record the required data: Using Automated Speech Recognition (ASR), the speech input is converted into text form, while Natural Language Processing (NLP) then ensures that the AI can understand the information. Finally, the Dialog Manager (DI) initiates the necessary steps for the implementation of the tasks.
Chatbots
Chatbots are an intelligent application that is also based on the principle of machine learning. These are AI-based systems that can be a valuable addition to customer service. From Q&A bots to personalized assistants, there are many possible uses, depending on your needs. The first step is to use a chatbot to answer frequently asked questions from users in a timely manner. More complex bots can have larger and longer conversations and even hand them over to an employee when they realize that the problem is beyond their knowledge.
Preparation is everything
Companies can already prepare for the future with AI by building up human resources and expanding professional competence. In addition, companies can also rely on the support of an experienced software partner. In addition to the implementation of AI applications, he is also at your side in the conception and development of the strategy: In a first step, the goals are defined which are to be achieved through the use of AI. Then it is jointly defined in which processes AI applications make sense and offer real added value. The implementation then ideally takes place as part of a pilot project in which, for example, the previously defined data model is trained using machine learning at RPA. The processes are repeated until the artificial intelligence recognizes the underlying structure and can independently carry out similar tasks on this basis. Once the pilot project has been successfully completed, AI applications can then be rolled out and implemented in other areas of the company.
Towards the future together
Are you curious and want to find out how you can implement AI applications in your company? Then contact our digitization experts who will work with you on a company-specific AI strategy: https://kumavision.com/kuenstliche-intelligenz
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