Interview with Dirk Bingler – Spokesman of the Management Board of GUS Deutschland GmbH
How important are agile software architectures for enterprise software?
Software architectures are the result of agile development processes in which the structure of a solution adapts to new requirements over time and grows accordingly. These development processes, such as Scrum, for example, are now widespread. This also applies to agile ERP implementation methods, among others. Nevertheless: When (further) developing enterprise software, one rarely starts in the “open countryside.” Often it is not even possible to have a significant influence on the architecture of the enterprise software due to the technical conditions and the size and complexity of the ERP solution.Dirk Bingler
To what extent will the support of digital ecosystems in enterprise software become the standard?
With increasing digitalization and the global networking of systems and processes, the complexity of business relationships is growing. Companies look for partners with whom they can collaborate on certain tasks and projects. Sometimes permanently, but sometimes only temporarily. To enable this collaboration, ERP systems must on the one hand offer the possibility of exchanging data securely and flexibly. On the other hand, standard business software must be designed in such a way that it can be expanded to include additional services from the cloud if required. In the digital world of tomorrow, rigid monolithic ERP systems therefore have little chance on the market.Dirk Bingler
How will data processing change in the future towards smart data processing so that it can cope with the new flood of data?
ERP systems today are already capable of storing and processing large amounts of structured information and integrating it into existing processes. But with increasing digitalization, more and more unstructured data is being added – be it customer feedback via a social media channel or machine and sensor data from production. These data volumes can only be sensibly processed by flexibly integrating additional computing and storage power from the cloud. For example, computing power can be switched on and off for short periods of time to train AI models.Dirk Bingler
How long will it take until solutions for artificial intelligence in enterprise software are offered comprehensively?
AI is not a program that can be implemented at the push of a button. In principle, the more complex the tasks that an AI has to perform, the higher the requirements in terms of data quantity, quality and learning process. Present standard AI systems can therefore only handle very generic tasks, such as the automatic posting of incoming invoices or the classification of images. Nowadays, more complex AI applications help, among other things, to increase the accuracy of sales forecasts. However, “real” AI systems, which understand business contexts, for example, and therefore independently handle more complex business processes, are still in their infancy. Not to mention self-controlling ERP systems. From today’s perspective, we are still years away from such solutions.Dirk Bingler
Will Robotic Process Automation be a standard function in enterprise software in the future?
Nowadays, software robots are already able to imitate human interactions with user interfaces of software systems. In practice, this means that data input into an ERP system or even the execution of an entire business process can be mapped by a software robot. Middleware for coupling different systems is therefore no longer necessary. And since the connection is made via the user interface, the effort required to develop appropriate interfaces is significantly lower. But: The software robots used must have an extremely high level of “intelligence” for this. While bots can already be mapped in the standard system for simple tasks such as answering customer queries, complex robotic process automation systems (RPA), which can handle processes completely on their own in accordance with their instructions, will probably remain a discipline in their own right.Dirk Bingler