How Indian Enterprises Are Embracing RPA 2.0

CIO Vendor If you look at the evolution of RPA technology it has been like any other technology, RPA also went through the technology hype cycle and organisations in India adopted task-based automation tools most often running as script on desktops with lot of dependency on humans. This automation tool was hyped as RPA but it turned out to be RDA (Robotic Desktop Automation / Attended Automation). Compared to other markets, most of the Indian Enterprises are still using Robotic Desktop Automation (RDA) / Attended Automation to automate tasks which runs on desktops without proper controls and governance within their organisation. Most of the Large Indian Enterprises have realised that their investments have given them either a negative or single digit ROI over 3 years period because of hidden costs. So most of the digital transformation leaders in India are either replacing their existing automation tools with matured and secured enterprise class unattended RPA platform offering secure “Human in the Loop” features or adopting a dual vendor strategy to protect their existing investments.

Currently, Indian market is still dominated by automation vendors who started with just attended / recorder automation and recently built siloed unattended features to scale themselves to become a RPA vendor. Unfortunately, both their attended and unattended features operate in silos and require huge development efforts, additional license cost and pose major migration challenges to get them to work together or upgrade from attended to unattended automation. While Indian enterprises are now re-evaluating their RPA strategy, EU and US markets have already started to adopt RPA 2.0 which is next level of intelligent automation platform. It offers built-in machine learning capabilities within the platform to optimize the digital worker to its full capacity and also offer pre integrated assets from best of the breed technology partners with a drag and drop capabilities.

Advantages offered by RPA 2.0
Situation changed in the last 10 years, when machine learning algorithms outperformed classical solutions in vision-related tasks. This was caused by the growth of computing power and access to large databases (digitized content). Machine learning itself is an approach to solving problems by letting algorithms adjust themselves on incoming data. A programmer doesn’t have to code all the necessary functions and features. It’s enough to put only the initial architecture in place and let a machine/computer learn from data.

Rise of AI changed everything – from the way we do shopping (mostly online) to navigation (Google Maps) to even life expectations (every process must be smooth and pleasant). Machine learning paradigm of sketching a draft and letting a machine figure out the rest won over the classical paradigm of hard coding every function and feature into the structure.

With the rise of AI, digital robots can finally ‘see’ and ‘reason’ on incoming data. They don’t have to blindly follow rules but can improvise Real-time. Digital Workers can finally become Intelligent. From the technical point of view, machine learning – especially deep learning and reinforcement learning – allows a great robustness in RPA systems.

An automation running on desktop with lot of scripting is a legacy, it’s time to let the machine run in the background on an unattended mode and
analyse what you do for a couple of hours or days, and come up with potential automation solutions.

According to McKinsey & Company, by 2025, RPA will take over tasks performed by 250 million knowledge workers in the world. It gives the workers more time to engage themselves into being creative. What are your thought in this? Which sector will be affected the most?
Intelligent digital workers will soon flourish in all business verticals. We are currently at the very beginning of this new revolution which will limit tedious, boring tasks and allow people to focus on truly creative jobs. The change will occur in jobs which seemed at first out of reach for automation: insurers, bankers, telcos and pharma companies. Within the next 5-10 years those occupations will greatly change. They will be more about human interactions and empathy than data manipulation. Office tasks like preparing slides, drafting a legal agreement or auditing will go away. This will truly be an equivalent of Industrial Revolution. Only this time in the digital world. And that’s only a small part of what AI can give us in the form of Intelligent Digital Workers or RPA 2.0.

Digital workers can finally become intelligent. From the technical point of view, machine learning – especially deep learning and reinforcement learning – allows a great robustness in RPA systems

How a Business should look upon for embracing RPA 2.0
The RPA market will also undergo a lot of changespost Covid as enterprises pursuing digital transformation become more aware of the differences among processes, the range of automation technologies available, and the importance of using the right tool for the job. Can you imagine what your organization could achieve with the powerful Intelligent Digital Workers to interact with all the applications of your information system, empowered by a full range of AI technologies to manipulate unstructured data, with chatbots to simplify user interactions via any device.

This allows your organization to set up and deploy a team ofdigital workers& agents, leveraging their intelligent capabilities to understand and decide, digital ears and mouths to communicate, and digital arms to execute some of the most complicated tasks and processes.

Those new-generation digital workers will make your organization even more intelligent and more efficient.

RPA 2.0: Future or Already Here?
IDC predicts, by 2024, 50% of structured, repeatable tasks will be automated, and 20% of workers in knowledge-intensive tasks will have AI-infused software or other digitally connected technology as a “coworker.” Leading global insurance company has successfully adopted Blueprism Digital Workers as part of their digital transformation strategy and digital workers are colleagues who also get a name and even cake for their birthday.

While RPA deployments are augmenting and automating work, it is also creating new opportunities for value creation and driving better experiences for both employees and customers.