| |January 20229other. Pre-written RPA bots that connect these products together now come along these bundles to make life easier for customers.· Legacy applications can be a tech-debt for any organization. Rewriting these legacy applications to enable modern technologies such as APIs, chat bots, and mobile apps requires budget and time. RPA can play an enabling role here, where modern frontends connect with RPA bots that in-turn connect with legacy applications to get the job done. Of course, the response time is comparatively higher, but it does get the job done. These are generally called RPA micro-services.· As the capability of RPA tools is growing, another trend we are seeing is using RPA for test automation (post scripting) and test data generation. Manual test data generation can take 10-20% of testing effort, so RPA offer significant potential savings of time and effort.· Agent Automation is another growing trend. Typically, agents in call centers need to look at a myriad of consumer data from various applications to understand the context and decide how to support a customer on a call. RPA is being used to quickly create a screen that consolidates all information required, including recommendations on how to help the customer (using cognitive recommendation engines).· Quick integration of applications post mergers and acquisitions are being enabled using RPA.The Intelligent Automation industry and its adoption are growing, providing a plethora of opportunities to automate. Some trends to look out for are:· Intelligent automation will become increasingly effective when RPA is combined with multiple tools such as business process management systems (BPMS), low code application platforms (LCAPs), omni-channel conversational platforms (IVR, chat bots, SMS gateways), and artificial intelligence tools (machine learning, NLP, NLG), among others. This is also called hyper automation. · Self-healing bots: RPA bots fail when graphical user interfaces (GUI) elements change due to upgrades, increasing the need for bots that can self-heal using artificial intelligence techniques· Self-generated bots: RPA tools are being created that can auto-create bots by watching the work being done on a desktop / application(s). As this technology matures creating bots will become easier.· Self-optimizing bots: Depend-ing on how they are automated, RPA bots can use up a lot of memory / CPU performance / network band-width. Monitoring these aspects and recommending optimization mecha-nisms will go a long way as it will make bots automatically efficient.With digital acceleration at its peak, RPA has been at the heart of transformative strategies across industries. Where there is a process pain point or bottle neck, RPA can establish clear workflows and enable continuous process improvement. What makes RPA stand out is its capability to automate end to end process lifecycles by integrating new front-end technologies with back-office environments. Adding bots to manage repetitive and predicative tasks further speeds decision making, reduces process time, and influences positive outcomes and experiences. With digital acceleration at its peak, RPA has been at the heart of transformative strategies across industries
< Page 8 | Page 10 >