Infosys opens Ki innovation Lab in Düsseldorf: Future of SAP solutions!

Infosys opens Ki innovation Lab in Düsseldorf: Future of SAP solutions!

Düsseldorf, Deutschland - Infosys today opened the Innovation Lab for SAP Solutions in Düsseldorf. This new laboratory aims to support companies in the use of artificial intelligence (AI) and data in order to develop tailor -made solutions and implement innovations faster.

The innovation laboratory offers access to central technologies such as SAP Business AI, SAP Business Data Cloud and Rise with SAP. Offers such as Infosys Cobalt and Infosys Topaz are to be supported in cloud transformation and the use of generative AI. These technologies enable companies to effectively align their AI and data strategies on their business objectives.

goals and functions of the Lab

An important goal of the lab is to create a collaborative environment that promotes the CO-Creation of AI solutions. Through close cooperation with the teams of customers, Infosys wants to develop tailor -made solutions that are tailored to specific business needs. The use of the SAP Business Data Cloud is considered crucial in order to link and use company -wide data.

The laboratory also enables fast prototyping and scaling of AI and data solutions. This is intended to enable companies to increase their financial performance, improve operational efficiency and minimize risks. The developed solutions are available via a global network of more than twelve Living Labs, which enables comprehensive application and integration into a wide variety of business areas.

experiences and expertise

Infosys brings more than 25 years of experience in SAP transformation, advice and technology. The close cooperation with SAP for the development of industry-specific cloud and AI solutions underpins these expertise. Thomas Saueressig from SAP emphasizes the decisive role of AI-based innovation and seamless cloud adoption, while Dinesh Rao emphasizes infosys that the laboratory will help companies overcome integration hurdles.

In today's business world, the implementation of AI strategies is essential. The Ki-transformation promotes the integration of these technologies in corporate processes in order to optimize processes, automate manual tasks, improve the customer experience and make data-supported decisions. The challenges associated with the scaling of such technologies must be taken into account when implementing an effective AI strategy in order to maximize the advantages of machine learning, deep learning and other innovative technologies.