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So set Unternehmen that digital transformation um

3 Performance for Innovation in Action
So set Unternehmen that digital transformation um

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A number of different technologies are one way to get an idea of ​​the development and innovation required. With the following developments in the Tech Industry changing Unisys, such as AI, Cloud Computing, Microservices and automation, it is important to make a lot of money.

Manju Naglapur is Senior Vice President and General Manager, Cloud, Applications & Infrastructure Solutions at Unisys. (Image: Unisys)
Manju Naglapur is Senior Vice President and General Manager, Cloud, Applications & Infrastructure Solutions at Unisys.

(Image: Unisys)

A McKinsey study says that the generative AI (GenAI) has the potential to produce a product from 2.6 to 4.4 bio. US dollars on the scaffolding, which is financed by the GenAI in the sectors Finanzdienstleistungen, Hightech, Medien and Biowissenschaften are large.

“Technology has a major influence on the Geschäftsentwicklung zahlreicher Unternehmen. When you study product developments, you analyze legislative analyzes and there may be more focus on product manufacturing,” said Manju Naglapur, Senior Vice President and General Manager, Cloud, Applications & Infrastructure Solutions at Unisys.

Drei Beispiele says, who innovates the digital transformation:

Chapter 1: new digital IT infrastructure with cloud migration and microservices

An automatic test version is available with a versatile IT infrastructure and a history of more than 190 years, creating a complicated configuration. For digital transformation, cloud transformation is a monolithic and dynamic process, simply converting the microservices. A number of studies are being conducted for the migration and modernization of the migration and preparing for a cloud-native cloud environment.

You can count on the costs of the costs and the Time-to-Market acquisition. Gleichzeitig wurden Safety, Compliance, geschäftliche Agility and Productivity deutlich improved. The external system is the best, it is about the cost of the costs and the sales of the Time-to-Market that you can use.

Beispiel 2: Automation of workflows for more agility

Traditional KI hats are beige, automatic processes. Generative AI is no longer quick and easy workflow automation. An operating system for efficiency through automation is the next implementation at a Fortune 100 mortgage company in the US. Before a Managed-Pipeline-Service-Frameworks was installed, there were 95 Prozent der Prozesse in the Change-Management manual.

The einführung of the automation technology that carries out a scaffolding of the production and the production of products was how the entire Mitarbeiterzufriedenheit improved. It is possible that one of the following steps is performed by three Mio. US dollars and a reduction in construction time, a new model model on the computer is a 93 Prozent – ​​​​from four stunden to now 17 minutes.

Beispiel 3: Operative Effizienz scaffolding

A major American financial service has said that an efficient modernization of the application architecture can be. The monolithic architecture of the internal functioning of management problems and concerns in the new functional organization. During the implementation of a microservices architecture, CI/CD pipelines and managed services, release development could be one of the functions and the expansion was carried out in a four-fold process. This network is now agile efficiency and Multi-Cloud capable.

“The next technology is a Wendepunkt – who is the car, the electricity, the telephone and the Internet. This nutzung started in small and at a certain point, so that man recognizes his revolution Vorteile. Genau en diesem Wendepunkt befindet sich KI, en zwar in rasantem Tempo,” Naglapur continues. “Unternehmen, die konzentrieren ich Geschäftsergebnisse, können damit unglaubliche Ergebnisse wie KI-gesteuerte Betriebseffzienz erzielen.”

(ID:50183723)

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