How to Achieve Business Leadership in the Workplace with Successful Automation


Artificial intelligence promises a vast potential and advanced capabilities to generate high-end results. Tasks once reserved solely for humans have reached the grasp of the likes of IBM’s Watson, Rethink Robotics’ Baxter, DeepMind, or Google’s driverless car. It never ceases to amaze me how the check-in kiosks at airports have taken over the ticket generation process for many airlines. At an average, a pilot only steers an aircraft for up to seven minutes, with the plane gliding on its own for the rest of the flight time on autopilot. In certain airports, the passport recognition process has shifted to barcode scanners instead of observing the incoming passengers individually; all giving rise to a new facet of promoting business leadership in the workplace.

But do we really ponder over how one can possibly look forward to improvising the element of productivity within the workplace with successful automation? What will eventually be the everlasting impact of automation efforts that one exerts in the long run? Will we ever free ourselves from the dreary tedious day-to-day tasks and improve the professional quality of our lives? Here’s to all the burgeoning questions that keep racking your mind and strain the social fabric that covers the disruption in organizations.

How Can One Achieve Business Leadership in Workplace with Automation?

Here’s the answer to all your problems… Intelligent Process Automation

What is Intelligent Process Automation?

Intelligent Process Automation, defined as IPA in simpler terms, is the application of Artificial Intelligence to compatible technologies of an era gone by. It includes the concept of computer vision, cognitive automation, robotic process automation and machine learning. By associating such concepts with the traditionally inactive technologies, future technologists believe that they can improvise the technology, so it can ultimately elevate business value and help organizations earn a competitive advantage.

Most firms such as UiPath are already developing IPA solutions to amplify the robotic process automation (RPA) for business development. The organization revolves its IPA solutions around computer vision, robotics and integration, and have secured multiple third-party cognitive services from several platforms such as Google, IBM, Microsoft, and ABBYY. They are venturing forwards towards offering more Natural Language Processing and Machine Learning services on Cloud and in-premise as well.

How Does Intelligent Process Automation (IPA) help Improve Business Leadership in The Workplace?

What makes IPA so unique is its ability to mimic human activities carried out on a daily basis. In time, it readily adapts itself to the process and amalgamates with them, promising to enhance a worker’s performance in the workplace, minimize operational risks in workplaces, improve response times and create better customer journey experiences.

Most IPA solutions are now embedded with concepts of deep learning and other related cognitive technologies so that they can augment the decision-making capabilities of humans.

Oracle ERP is one of the leading names in today’s digital business world. As industry leaders are moving into the spheres of new realities, they are more inclined towards innovating more robust business models. The process is often coined as a digital transformation.

Oracle ERP Cloud undergoes digital transformation by providing a platform for IPA solutions and other transformative technologies. It enables employees working with the Oracle ERP Cloud to mitigate the performance of repetitive tasks by deploying virtual engineers for them. Now, employees can save time on their clock and perform with ease.

Robotic Process Automation (RPA)

Have you ever realized how much time you waste on responding to acknowledgment emails or organizing your mailbox for priority tasks? How often do you find yourself performing data extractions and cleaning out your existing user interfaces? With Robotic Process Automation (RPA), you don’t have to go through such daily drills every day.

Such a solution assigns you a robot with a proper user ID, who can take the reins of tedious tasks such as accessing emails and systems, performing in-depth calculations, creating important documents and reports, checking files, etc.

An insurance firm once claimed that RPA reduced excess queue procedures for more than 2,500 high-risk accounts per day, easing almost 81% of FTEs on employees handling them. They coined it a proactive approach to account management.

Machine Learning & Advanced Analytics

Machine learning builds on algorithms that work by identifying the patterns in structured and unstructured data and help Artificial intelligence craft better response to actions. By studying an employee’s daily performance data through supervised learning, machine learning is capable of making smoother process flows for the user.

When insights are based on recognized patterns, machine learning and advanced analytics could turn out to be a real game changer for some professionals. For instance, insurance companies can benefit greatly by deploying machine learning methods in their work processes, such as minimized cost structures, improved compliance and a higher competitive advantage.

Burgeoning concepts such as advanced analytics have crawled their way into the HR groups of several organizations today so they can determine and learn important attributes in leaders and managers. It not only helps HR generalists identify business leaders in organizations but also empowers them to traverse the career path and plan their succession.

Smart Workflows

Smart Workflows are processes that sit on top of RPAs, for instance, a process management software tool that enables easy integration of tasks performed by a group of people and machines. It helps the user initiate and track end-to-end processes in real-time and make necessary alterations as per the evolving needs.

The best thing about Smart Workflows is that they ease the operational processes in the workplace and provide finalized reports in statistical form to users so they can analyze which areas of the process flow require attention at the workplace.

They study the transaction of data between humans and robots alike. And based on these transfers of information, they eventually decide on a best possible solution of getting the task done in due time.

Natural Language Generation (NLG)

Every time you download a game app from Play Store, it goes through a set of instructions enabling you to get acquainted and up to speed with the game. How does every game have a seamless way of guiding you through a step by step process of achieving your goals? It’s because of Natural Language Generation.

Natural Language Generation (NLG) is a software engine that enables seamless interaction between humans and technology, by translating prose from data observations. Here’s how modern-day workplaces make use of NLG; They can introduce software solutions for specific tasks and feed the system with structured performance data. It will help employees work their way to success through a guided process.

Some of the major financial organizations in the world use NLGs for managing weekly reports, internally and externally, and replicate it if a need arises.

How Important is IPA for Modern-Day Workplaces?

IPA greatly helps in controlling the routine tasks and alleviating the burdens of human workers so they can focus on development activities. While the machine is capable of performing your daily tedious tasks, you can spend more time socializing with audiences through social media, news, events, etc.

Growth is the way forward, and constant learning is the key to achieving business goals. However, the full potential of implementing an IPA solution turns fruitful only when you activate a full suite. In case you are even able to run a single RPA faction, you can drive significant productivity gains out of it alone.

TaskQue is a productivity and workflow management software where our technical team is working its way forward by integrating an AI intelligent voice search option, such as Alexa, with the tool.