Innovation in action: examples of how companies are implementing digital transformation
From artificial intelligence (AI) and cloud computing to microservices and automation, companies are using various technologies to achieve their goals and drive innovation.
Studies show that generative AI (GenAI) has the potential to increase annual productivity growth by USD 2.6 to 4.4 trillion, with revenue growth from GenAI being greatest in the financial services, high-tech, media and life sciences sectors. "Technology has a significant impact on the business development of many companies. It accelerates product development, supports competitive analysis and enables the achievement of important goals such as increasing productivity," explains Manju Naglapur. He is Senior Vice President and General Manager, Cloud, Applications & Infrastructure Solutions at Unisys. Unisys is a technology company that provides solutions in the areas of digital workplaces, cloud infrastructure, enterprise IT and business processes.
Three examples of innovation and how companies are implementing the digital transformation:
Example no. 1 - new digital IT infrastructure using cloud migration and microservices
A provider of systems for automated test procedures was working with an outdated IT infrastructure and a network of more than 190 applications, each of which had complex dependencies. To implement its digital transformation, it moved the applications to the cloud and transitioned from a monolithic to a dynamic, microservices-based environment. This required the development of a phased approach to migrating and modernizing applications and preparing them for a cloud-native environment.
Among other things, this has reduced the total cost of ownership and shortened the time to market. At the same time, security, compliance, business agility and productivity have been significantly improved. The company is convinced that the reduction in total cost of ownership and the shortening of time-to-market are already paying off.
Example no. 2 - Automation of workflows for more agility
Traditional AI has been helping to automate business processes for years. Generative AI now enables even faster and easier automation of workflows. One example of increased efficiency through automation is the successful implementation at a Fortune 100 mortgage company in the USA. Before the introduction of a managed pipeline service framework, 95 % of the change management processes were manual.
The introduction of automation technologies led to an increase in productivity and collaboration, which in turn improved overall employee satisfaction. This led to an annual saving of USD 3 million and a reduction in build time to create a new building model on the computer by 93 % - from four hours to just 17 minutes.
Example no. 3 Increase operational efficiency
A large US financial services company shows how efficient a modernization of the application architecture can be. The company's monolithic architecture led to performance problems and delays in the introduction of new functions. By implementing a microservices architecture, CI/CD pipelines and managed services, the release speed was increased fivefold and application performance fourfold. The company is now much more efficient and ready for multi-cloud.
"Every successful technology reaches a turning point - like the automobile, electricity, the telephone and the Internet. Its use begins on a small scale and increases as soon as people recognize its revolutionary advantages. AI is at exactly this inflection point, and at a rapid pace," Naglapur continues. "Organizations that focus on business outcomes can use it to achieve incredible results such as AI-driven operational efficiencies. The success stories mentioned above illustrate how technologies such as artificial intelligence, cloud computing, microservices and automation can lead to significant benefits."
Source: www.unisys.com
