How cognitive and robotic automation play in SecOps

As the founder of a document processing startup, I’m thrilled by the potential it creates, but I also feel a responsibility to address its risks. According to a McKinsey report, adopting AI technology has continued to be critical for high performance and can contribute to higher growth for the company. For businesses to utilize the contributions of AI, they should be able to infuse it into core business processes, workflows and customer journeys. Companies can now implement systems that replicate their best employees’ experience and decision-making models. The experts’ decision making is one of the most valuable and hard-to-come-by assets in an organization. Their intelligence is gained through experiences inside and outside the organization.

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At the highest level of autonomy, Level 3, we have full autonomous business process, encapsulating all the capabilities discussed above. Robotic Process Automation (RPA) is an increasingly hot topic in the digital enterprise. Implementing software robots to perform routine business processes and eliminate inefficiencies is an attractive proposition for IT and business leaders. And providers of traditional IT and business process outsourcing facing potential loss of business to bots are themselves investing in these automation capabilities as well. And now, the most important detail of xenobots—they can replicate autonomously and create an army of themselves within no time. Basically, xenobots closely follow the reproduction mechanism of actual cells in plants, animals and other organisms that are found in various ecosystems around the globe.

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These agents were making, on average, six call attempts to reach a claimant to get the required information needed to close the claim. Recently, I had the opportunity to attend KPMG’s Intelligent Automation Symposium to learn more about how they see the shift from RPA to cognitive and how companies can best embrace that shift. When done right, the evolution from RPA to cognitive can help drive new business models and revenue streams, and increase bottom line results. With this end-to-end visibility, the customer is monitoring shipments from order entry to transportation planning, tendering and shipment creation, over to slot booking, actual loading and the delivery of goods to the customer. The recommendations implemented are driving the overall status and performance against the initial plan, continually identifying critical cases to be managed.

Small-sized companies with budget constraints can consider alternatives like including collaborative document-sharing tools with cloud access, which fosters teamwork and can be cost-effective. As cognitive automation learns from the data and improves its performance over time, this becomes the go-to option for companies with ever-changing requirements. Another vertical segment taking advantage of cognitive automation is the manufacturing industry. Chart Industries, a manufacturing firm within the energy sector, utilizes CRPA to enable their accounting division to be more efficient and cost-effective — a use case which any business in any industry can capitalize on.

• It has become important for industry leaders to embrace and integrate these technologies to stay competitive in an ever-evolving landscape.
• RPA started roughly 20 years ago as a rudimentary screen-scraping tool, technology that is used to eliminate repetitive data entry or form-filling that human operators used to do the bulk of.
• For example, the software could copy data from one source to another on a computer screen.
• The result was a shipping process with more resilience, flexibility and agility.
• There are levels of automation, ranging from cognitive at the high end to robotic process at the low end.

For instance, xenobots are created using an amalgamation of robotics, AI and stem cell technology. The creators of the technology used stem cells from the African clawed frog (its scientific name is Xenopus Laevis) to create a self-healing, self-living robot that is minute in size—xenobots are less than a millimeter wide. Like natural animal and plant cells, the cells used to create xenobots also die after completing their life cycle. Their minute size and autonomy allow xenobots to enter the human body, micro-sized pipelines or underground or extremely small and constricted spaces for performing various kinds of tasks. Although nanobots are much smaller as compared to xenobots, both are used to perform tasks that require the invasion of micro-spaces to carry out ultra-sensitive operations. Technologies such as AI and robotics, combined with stem cell technology, allow such robots to perfectly blend in with other cells and tissues if they enter the human body for futuristic healthcare-related purposes.

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Further advancements in AI and robotics will bring operations such as the two listed above closer to reality from its current concept stage. There are several other ways in which xenobots can be utilized by healthcare experts. As you may know, these kinds of operations require surgeons to remove the blockages caused by unsaturated fats and other similar elements within the arteries of an individual. Micro-sized xenobots can enter the bloodstream of a patient, circulate all around the body without undergoing damage and carry out the task—removing blockades within their arteries and veins. Once the life-cycle of a xenobot’s cells is over, they can die like other normal cells.

How cognitive and robotic automation play in SecOps

The initial investment for a digital transformation setup can be expensive for certain small-sized companies, making it difficult to incorporate. There are also integration issues, security risks and change management challenges. Before integrating cognitive automation, knowing if it is essential to your organization’s needs is crucial. While powerful, cognitive automation, like most artificial intelligence, has limitations and challenges.

It enables quick and accurate analysis of vast data by identifying patterns and anomalies within the datasets across industries. This has been validated by PwC, which suggests that properly deploying technology reduces compliance costs by approximately 30% while simultaneously fortifying institutions against regulatory breaches.

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Early RPA was able to take this function off the clerk’s plate by automating that invoice processing. Once someone has proved the value of RPA in one particular business process or piece of a business process, the interest in expanding the use of it grows. They think about issues like how many software bots do we need to have and how they will manage secure access to systems the bots are interacting with. Some leading RPA vendors are already combining forces with cognitive computing vendors.

Blue Prism, for example, is working with IBM’s Watson team to bring cognitive capabilities to clients. And a recent Forrester report on RPA best practices advised companies to design their software robot systems to integrate with cognitive platforms. These intelligent bots have more power than their dumber, repetitive alternatives.

The team sought other solutions that could harmonize data from disparate systems first, then used machine learning to forecast demand using external data, which led to the ability to augment and automate decisions about demand and supply. Cognitive automation technology can harness all of these inputs — including past decisions — and use AI, machine learning and human intelligence to better respond to almost any scenario. Just as critical to sustained success is a model for change management and governance, which should have the full commitment of leadership and underpins all four phases of a cognitive strategy. This model helps ensure that the cognitive automation vision – to transform the enterprise into an engine of unconstrained innovation – becomes a scalable reality, with buy-in from all parts of the organization. The gains from cognitive automation are not just limited to efficiency but also help bring about innovation by harnessing the power of AI. This digital transformation can help companies of various sectors redefine their future of work and can be marked as a first step toward Industry 5.0.

Cognitive automation is a win-win situation for many companies looking to elevate customer experiences and team collaboration. Research from Accenture for the retail banking sector indicates that personalization efforts for customers with the help of cognitive automation tools can increase revenue by 6%. Apart from healthcare, xenobots have use in environmental sustainability too. Smart cities, where urban computing connects several pieces of technology scattered across various zones, can use xenobots for pollution monitoring and control. Xenobots will possess advanced AI and robotics tech, such as the memory of harmful toxins that can cause pollution-related issues in smart cities.