Digital Transformation will need to go beyond RPA, Workflow Automation, and ML

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Digital Transformation will need to go beyond RPA, Workflow Automation, and ML

Digital transformation will need the right business strategies, alongside new technologies.

Despite the global hype on its advancement, digital transformation programs of several organizations are still in an infant stage, as per Dell Technologies’ Digital Transformation Index II. There is widespread awareness about its criticality, reflected in the study that points out that 78% of businesses believe digital transformation should be more widespread throughout their organization. Meanwhile, 51% of surveyed companies think they will strive to match up with the evolving customer demands in the next five years. Inadequate budgets, lack of skilled and efficient resources, talented workforce, and lack of the right technologies are some of the barriers, the study found.

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Several companies who are successfully navigating their way towards digital transformation have learned that implementing a low-code workflow automation platform makes them more efficient. It allows them to ensure varied systems’ interoperability with minimal manual intervention. In the case of low-code workflow automation platforms, companies can configure applications and automation solutions without coding. A solution built on a low-code platform is cost-effective to maintain and deliver organizations what they need faster than custom development. Moreover, once this is paired with RPA, manual tasks are minimized even further.

Robotic processes led by automation helps to ramp up process agility by automating repetitive tasks. With RPA, organizations can scale manual activities that follow a well-defined process, speed up clerical work, and reduce human error. Compared to a full-scale business process optimization, RPA is less expensive since it uses existing IT infrastructure and automates current business processes.

Processes will become smarter as well as more efficient if companies understand the need to integrate ML into this dynamic workflow automation-RPA duo. Machine learning identifies past data patterns and succeeds in tasks such as speech recognition, pattern recognition, and translation. Organizations incorporate analytics and ML, but tying them into a business process is key to maximizing their value. A low-code workflow automation platform is one of the most diverse and economical ways to do this.

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Low-code workflow automation, RPA, and ML can work independently from one another; however, they are a formidable force when combined. It is a proven solution that helps organizations drive digital transformation faster and more efficiently.

As per experts, around 40% of companies will face a setback if they choose to ignore these technologies. However, merging and implementing these three technologies will help companies in their digital transformation journey.

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Sneha Bokil is a Senior Editor with OnDot Media. She writes editorials on an array of topics ranging from IoT, AI, ML, and cloud computing, among others. She has over 9 years of experience in the field of content creation, where she has written on technology, both enterprise and consumer, and finance.