On June 10, NTT DATA organised an exclusive event at the Museu Nacional d’Art de Catalunya in the lead-up to the European edition of SAP SAPPHIRE 2024. The event brought together managers from NTT DATA and important companies worldwide in an informal environment, where participants were able to meet and discuss the latest trends in the sector.
With the name “Chill Out at Dusk”, the event included a private visit to the museum and a gastronomic experience amidst spectacular views of Barcelona. The event also featured a talk on an important contemporary theme; the convergence of hyperautomation and generative artificial intelligence as an engine of business transformation. Pau Canas, director of Intelligent Automation at NTT DATA, explored the advantages of integrating these technologies.
Pau began by explaining the differences between traditional automation and hyperautomation. While the first focuses on automating individual tasks, hyperautomation seeks to automate workflows in their entirety. It uses advanced technologies such as robotic process automation, artificial intelligence, machine learning and advanced analytics to automate the most complex business processes. It is a comprehensive approach that not only improves existing processes, but also allows us to discover new opportunities for optimisation and innovation.
For example, in the financial sector, NTT DATA has successfully implemented solutions that combine technologies to improve process efficiency and accuracy significantly. Robotic process automation is used to extract billing data, which is then processed with AI models to verify its accuracy and categorise expenses. Then machine learning comes into play, incorporating algorithms that can detect anomalies and warn of potentially fraudulent activities. Solutions like this have helped to reduce manual errors, accelerate the approval process and provide an extra layer of security.
The combination of these two powerful technologies significantly improves quality, operational efficiency and customer satisfaction. First, with the automation of quality control processes and the use of AI to foresee potential failures, the quality of products and services improves considerably. On the other hand, hyperautomation reduces manual interventions, and generative AI models optimise demand forecasting and inventory management. Finally, generative AI, with its ability to analyse enormous volumes of data, can create personalised customer experiences that improve satisfaction and loyalty.
In the area of innovation, generative AI can accelerate innovative projects, since it allows new prototypes to be created and tested quickly. In product design, you can quickly generate multiple design variations based on initial parameters, allowing new concepts to be evaluated and iterated quickly. This greatly speeds up the development cycle, as well as the launch and commercialisation of innovative products. In marketing, you can create personalised content based on customer preferences to improve conversion and engagement rates.
The integration of all these technologies is essential for companies to remain competitive, and S/4HANA and SAP BTP provide the infrastructure and tools needed to achieve this transformation. The main advantages of this transition are as follows:
The transition to S/4HANA and SAP BTP provides a basis for the adoption of other advanced technologies and methodologies based on Agile development practices, which improve a company’s ability to innovate and remain competitive. At NTT DATA, we help our customers carry out this transition efficiently and we ensure that they can take full advantage of the CLEAN CORE concept to be more efficient and have 100% scalable systems.
Pau Canas, Director of Intelligent Automation at NTT DATA
Another important benefit of the transformation process is the interoperability between SAP and third-party technologies. SAP BTP integrates with hyperscale operators such as AWS, Microsoft Azure and Google Cloud. This allows you to take advantage of scalable cloud infrastructure, optimise operations and reduce costs. To make the most of the capabilities of AI, Pau proposes a five-stage strategy:
The talks and later discussions held during this event made it clear that the integration of hyperautomation and generative AI technologies through a robust platform such as S/4HANA and SAP BTP is essential to promote continuous improvement and innovation. At NTT DATA, we are experts in digital transformation processes and the transition to S/4HANA and SAP BTP, and we can help you integrate SAP with third-party solutions to create a coherent and powerful technological ecosystem that supports your strategic objectives. Contact us to learn more.