How AI is transforming Enterprise Software Applications? |
Posted: October 29, 2020 |
As per predictions of Gartner, the year 2021 will witness almost two-fifth of all enterprise applications deployed in the service sector being embedded with AI technology is some form. Reports of IDC have gone several steps further by stating that by 2025 enterprise applications of almost 90 percent businesses will have AI capabilities. Research findings of Omdia indicate that AI software applications will generate revenues to the tune of 126 billion USD by 2025. These are astounding numbers, and AI enterprise software applications are simply inescapable! Usage of conversational AI, Natural Language Processing and smartphone friendly apps is already quite popular. In all probability, these trends will continue growing further and become even more vital with time. So, AI is definitely making long-term and significant impacts on enterprise applications in numerous ways. Let’s take a look at some of the most prominent ways in which AI will affect enterprise software applications. Systematic storage and usage of voluminous data Optimized utilization of data adds the much needed accuracy, effectiveness as well as adaptability to enterprise applications. Truly intelligent enterprise applications must have Machine Learning abilities. It will allow them to not only handle and process data but also use it to improve their functionality. Optimized data preparation and cataloguing also provides the groundwork for implementation of AI in other facets of your intelligent application and increases the overall potency of these solutions. So, the significance of data preparation is evident, and it can be made substantially effective by AI. Enhanced security for your enterprise applications The battle between unethical hackers and application developers is set to continue. With the hackers upping their game from time to time, it becomes crucial for developers to stay several steps ahead. The reliance of business on their enterprise applications has come to unprecedented levels. Even the smallest of security glitches can not only leave a dent in finances but also lead to loss of reputation. That’s where the Machine Learning abilities of your AI enterprise software can come in handy. You can not only prepare of known forms of cyber-attacks but also detect and prevent new ones! The arrival of AIOps We are all familiar with DevOps and their impact in the automation of business processes and increasing effectiveness of enterprise applications, among other roles. However, AIOps can do a lot more by using ML algorithms on the available data to make business processes more efficient. The insights generated by AIOps will make your enterprise applications capable of spotting data anomalies, analyzing them and taking appropriate preventive actions. Depending on the nature of probable glitches or security breaches, it would identify the right time for human intervention. In the long run, it will make enterprise applications not only highly scalable and adaptable but exceedingly secure. Processing and analyzing complex documents The use of OCR by businesses, organizations and government bodies for scanning docs and identifying crucial information is a well-established trend. However, this technology works well only when the uploaded docs adhere to a specific format. Docs in other formats can’t be processed by this traditional technology which is often embedded in enterprise software applications. The use of AI in your enterprise application will make it highly flexible and give it the ability to process docs irrespective of their format. All the vital pieces of information can not only be identified but also used for further processes. All of this would be done in a fraction of the time taken by traditional OCRs!
Use of AI, ML and Deep Learning in enterprise applications is all set for a long-time stay. It has already transformed the landscape of enterprise software applications, and larger developments are on the way!
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