Put simply, artificial intelligence (AI) reveals patterns in large quantities of data. Here, AI is an umbrella term for a group of technologies that is divided into several levels. On the one hand, there is a distinction between strong and weak AI. Strong AI tries to map human intelligence as a whole. It covers multiple thematic areas and tries to learn holistically in order to answer questions from many different areas of life. Strong AI has not been implemented yet, and it will probably take a few more years of development until it is so sophisticated that it can be used in practice. Weak AI focuses on particular topic areas. Through the focus, a better response structure is achieved. valantic uses artificial intelligence in the business analytics sector, for example. But other technologies that valantic uses, such as some SAP solutions and chatbot technologies, also take advantage of artificial intelligence.
In the world of artificial intelligence, a revolution is in progress that goes far beyond simple algorithms: It goes by the name of GenAI.
The tandem of AI and low-code/no-code contains enormous efficiency potential. Success, however, depends on the use of the right best practices.
The shortage of skilled workers and engineers has reached a historic peak, and mechanical and plant engineering companies in particular are suffering from this shortage. The pressure on industry is not likely to decrease in the future either. So what can companies do about this?
A Brief Portrait of IBM's AI Business Analytics Platform: This is what IBM Cloud Pak for Data can do, and companies can reap these benefits and added value quickly, relatively easily, and flexibly.
In our blog contribution, Felix Kopf, Software Engineer and Consultant at valantic, demonstrates what kinds of questions accompany chatbot development and how varied these are.
Andreas Kalapis reports on his work as a student employee in the Artificial Intelligence department and his subsequent start as a consultant. In the interview, he tells us why his gut feeling about INTARGIA, a valantic company, was spot-on from the very beginning.
The digital transformation in companies is progressing more and more. But the future belongs to customers and lies in the intelligence to provide them with the most perfect customer experience possible. With the customer at the center of attention, the path to the Intelligent Enterprise is thus marked out and indispensable. New technologies such as artificial intelligence, predictive analytics and the Internet of Things (IoT) will be increasingly in demand.
Concepts such as Just-in-Time (JIT) and Just-in-Sequence (JIS) have been applied in the automobile industry for many years; however, in many places, consistent implementation was lacking. Recently, new and promising approaches emerged based on AI-assisted software platforms. Then came the coronavirus. Now we need approaches that can help us manage global supply chains better.
Conversational AI in customer service leads to more dynamics in problem solving which has enormous potential for digital assistants and chatbots.
Read this article about how valantic can help you automate your corporate processes successfully with RPA.
Technologies for digital business innovation such as artificial intelligence and data analyses are enjoying a lot of attention lately. However, it takes talented people to drive the innovations forward and employees who use and exploit the digital innovations.