The digital revolution has brought about significant changes in the way we communicate, consume information, and conduct business. Technology has presented businesses with numerous opportunities to increase productivity, efficiency, and profits. These changes are driven by three major trends in the business world: digital transformation, new business models, and robotic process automation (RPA).
Digital transformation refers to the process of incorporating technology into all aspects of a business, from customer service to product offerings, processes, customer experience, data integration, and sales structure. It is a critical aspect of business success in today's digital world. New business models also play a key role in driving change, as they enable companies to explore new ways of operating and delivering value to customers.
RPA, on the other hand, is a technology solution that can improve customer experience, reduce costs, and solve various business challenges, such as talent shortages and data management. By providing real-time data access and enhancing organizational efficiency, RPA has become an integral part of digital transformation.
To take advantage of these trends, it is essential to have a deep understanding of both digital transformation and RPA, as well as the responsibilities that come with adopting these technologies. Businesses that can effectively integrate digital transformation and RPA into their operations will be better equipped to meet the demands of today's fast-paced digital environment.
In conclusion, the digital revolution is transforming the way businesses operate, and the adoption of digital transformation, new business models, and RPA is critical for success in today's digital world. By embracing these technologies, businesses can enhance their competitiveness and continue to thrive in the changing business landscape.
Although Banking seems to go through a phase of unprecedented innovation, for most of the institutions, Online Banking is still the most widely used (sometimes the only) Digital touch point. Digital disruption is attacking the traditional banking’s operational inefficiencies. New entrants like digital-born Fintech start-ups are making it more difficult for old-fashioned bankers to survive. Most players are already on a mission to rapidly alter the business models and find a more competitive landscape to spread globally.
Artificial Intelligence is taking almost every industry by storm. AI-led Digital Transformations are displaying sensational advancements. As 2020 stagnated many business’ growth plans and made us re-question the strategies; now everyone is geared up to turn 2021 into a year of innovations and applied AI. Two months down, we already can see companies being laser-focused on understanding AI capabilities, accelerating adoption, learning through mistakes, overcoming data issues, and embracing new talents.
We recently talked about how Test Automation and Robotic Process Automation are not the same though they both are record and playback mechanisms. We also mentioned if automation meets with Artificial Intelligence it aids businesses to go beyond conventional performance trade-offs to achieve extraordinary levels of efficiency and quality. This article is to build on top of that notion and discuss how Intelligent Automation can optimize Quality Engineering practices, especially Application Testing practices.
In one of our previous articles, we have discussed how Robotic Process Automation and Test Automation are different although they are often mistaken with each other. In this article, we are going to discuss an effective RPA governance model and how it can directly improve the chances to scale up the automation efforts and optimize ROI.
Robotic Process Automation (RPA) interacts with the existing IT infrastructure with the help of Artificial Intelligence and Machine Learning capabilities, to automate high volume, data-intensive, repetitive tasks, with minimal human intervention. It is used across industries to automate workflow and processes by enabling bots to interact with applications at the end-user’s device. In short, it is a series of commands executed by bots under pre-defined business rules.