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The Future of Enterprise Software: Trends to Watch

Missing the mark in enterprise software has negative consequences, such as flaws in business practices or untapped potential in the market.  In the quest for global digital transformation, organizations must closely examine the strategies used in their software development. Nordlogic offers a solution to this problem with its Software Ecosystem Audit and Diagnosis service, which allows organizations to identify shortcomings and refine their technology. With the pace of technology development, several trends will bring about a shift in enterprise software. This article discusses these trends and how enterprises can enhance their systems further to gain competitive advantage.

AI Integration

One of the major trends in enterprise software in recent years is the introduction of artificial intelligence, where systems and applications for businesses become more automated, efficient in decision-making, and faster and easier for users. Another interesting trend is the combination of AI and low-code platforms. Such platforms permit people with less technical expertise to construct applications, as they only require a small amount of code to build. Thus, the availability of advanced technologies has widened beyond the typical IT professionals.

Recent findings indicate that AI can significantly enhance low-code environments by automating repetitive tasks and providing real-time insights. For instance, AI-powered tools can suggest optimizations for application performance or identify potential security vulnerabilities during the development process. This integration accelerates application development and democratizes access to sophisticated technology, enabling businesses to innovate more rapidly.

Cloud Computing

Cloud computing is interlinked with enterprise software applications and seems embedded in organizations in various scenarios. Because it removes the complexities of scaling the on-premise infrastructure, it allows organizations to quickly roll out applications. It increases collaboration among teams and access to data as teams can work remotely.

AI capabilities are becoming more and more built into cloud services. That means companies can use ML models and analytics tools without leaving their cloud environment, increasing business efficiency. In transferring their software stack to the Cloud, companies will also be able to use AI capabilities for deeper analysis of business processes and customer behaviour.

Low-Code Platforms

The emergence of low-code platforms is significant for new models of application development. The platforms allow building simple applications quickly and with minimal coding effort, making the development of applications faster and easier by using standard interfaces and elements. Such a model is widely used, and as projected by Gartner, enterprise-wide hyperautomation and composable business initiatives will drive the rapid adoption of low-code technologies through 2026.

AI enhancement is also available on low-code platforms. They can now propose code suggestions or automate the preprocessing step to speed up the development of the databases and processes. This synergy between low-code and AI speeds up development cycles and enhances the quality of applications produced. Businesses that adopt these technologies can respond more agilely to market demands and innovate at a faster pace.

Partner with Nordlogic for Your Enterprise Software Needs

Working with Nordlogic can be a game-changer for your digital transformation journey. Their Enterprise Software Ecosystem Audit and Diagnosis service provides a comprehensive approach that helps you understand your current systems while identifying opportunities for improvement. With 17 years of experience optimizing software ecosystems, the Nordlogic team is dedicated to helping you achieve your business goals effectively and efficiently. If you’re ready to take your enterprise software strategy to the next level, contact them today.

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