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Imagine driving an old car that can no longer meet the demands of modern travel. Just like an outdated car, obsolete software cannot keep up with the ever-changing needs of a business.
ILegacy systems are difficult to maintain, improve, integrate with new systems and demand high maintenance annual cost.
The rapid rise of Robotic Process Automation (RPA) and Artificial Intelligence (AI) in recent years has led to their widespread adoption for automating routine tasks by organizations worldwide. However, to achieve intelligent automation or hyperautomation, RPA must be combined with AI to enable human-like decision-making capabilities. Hyperautomation tools can transform business processes by making cognitive, data-driven decisions, which is why Gartner has identified hyperautomation as the top strategic technology trend of 2020.
Legacy systems can be a financial burden for businesses, but what exactly contributes to the costs? And how can you measure these costs to justify modernizing the software?
Over the past five years, a significant majority of organizations have taken strides towards executing digital transformation initiatives. However, despite this progress, only few of them have been able to achieve the desired outcomes. This highlights the challenges and complexities involved in digital transformation, and the need for a strategic approach that addresses the specific needs and goals of each organization.
Numerous business applications have been developed using .NET, specifically the popular ASP.NET Web Forms project type, which facilitated the migration of legacy Windows Forms applications to the web around two decades ago, opening up global markets for businesses.
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