Times have changed—and so has DRS! We continuously invest in cutting-edge technology to fully equip today's paperless, automated office with the latest tools.
Since 1964, DRS has been revolutionizing the way our clients process information—by empowering them with systems and services to capture and extract data from large volumes of paper and electronic documents to feed business systems.
Machine Learning (ML) is now at the cusp of new technologies to support data extraction from the most complex documents and provide customized, scalable, enterprise-wide automation.
Better data means better business decisions and increased business success. This is hyperautomation. Let's talk about the part ML plays in automation and how it can move your company into hyperdrive!
What exactly is hyperautomation, and how does it help my business?
Gartner defines hyperautomation as a business-driven, disciplined approach that rapidly identifies, vets, and automates as many businesses and IT processes as possible. The ultimate goal for hyperautomation is to develop a process for automating enterprise automation. Hyperautomation, then, is an approach that uses multiple advanced technologies, smart tools and intelligent platforms such as:
- Artificial Intelligence (AI) and Machine Learning (ML) extend the capabilities of automation. Examples of some AI/ML-based tools include natural language processing (NLP), intelligent optical character recognition (Intelligent OCR), machine vision and deep learning chatbots.
- Automation development tools drastically reduce the effort and cost of building automation. Examples include Low-code or no-code platforms, RPA (Robotic Process Automation). Integration Platform as a Service (IPaaS) and workload automation tools.
- Business logic tools such as intelligent Business Process Management (iBPM), process mining tools and decision management tools make it easier to adapt and reuse automation.
Modern enterprises that have begun their journey toward digital transformation often find themselves mired in a patchwork of tools and technologies that are not lean, efficient, optimized, or integrated. But in the post-COVID-19 digital era, organizations that don't focus on efficiency, efficacy, and agility will find it difficult to thrive.
According to a Gartner article on the top strategic technology trends for 2021, hyperautomation aims to save costs, increase productivity, gain efficiencies through automation, and capitalize on the data collected and generated through digitized processes.
Hyperautomation involves identifying what work to automate, choosing optimal tools to build automation, and extending their capabilities using Artificial Intelligence and Machine Learning.
So how does hyperautomation benefit a business? Hyperautomation streamlines business processes by eliminating repetitive tasks and automating manual ones.
The top benefits of hyperautomation include:
- Lowers cost of building or developing automated solutions
- Improves alignment between IT and business
- Enhances adoption of AI/ML into the business process
- Improves security and governance
- Enhances the ability to measure the impact of digital transformation efforts
"In just the last five or 10 years, machine learning has become a critical way, arguably the most important way, most parts of AI are done."
- MIT Sloan professor, Thomas W. Malone.
Machine Learning (ML) is a branch of Artificial Intelligence (AI). It is based on the principle that intelligent systems can learn from exposure to increasing amounts of data by identifying patterns and improving automatically through experience. Using computer algorithms, ML-based tools imitate how humans learn, gradually improving their accuracy as they encounter more and more data sets.
ML can make decisions like humans without any manual intervention. Using training data algorithms, 'learn' to discover insights, make decisions and even predict specific outcomes. These insights help various business applications arrive at data-based insights.
AI/ML technology enhances data processing in many ways—whether it is through NLP-based search algorithms, OCR-driven data capture from images or predictive applications that use ML-based training models.
AI/ML forms the core of hyperautomation, making business tools and applications smarter and more sophisticated.
Hyperautomation: Powering the future of work today
Hyperautomation will transform business practices in the post-COVID-19 era. As tasks that were earlier performed by humans start getting automated, efficiency and productivity will rise to unprecedented levels.
Once human interventions are reduced and time-consuming, menial tasks are tackled by smart algorithms, employees' can spend their time working on higher-value tasks. Thus hyperautomation will empower human workers and propel them toward creativity and high-value jobs.
In the future, machines will not just complement the human workforce, but they may even go beyond what humans can do. Inevitably, this will reset the balance of human jobs and occupations, with some being taken over by machines—for the better. And some functions and areas like data science, AI-powered development will see huge growth potential. Ultimately, in the future, we may witness automated software performing cognitive tasks, as well as humans, do—or even better!
As human workers engage less in menial tasks and more in higher-value jobs, their incomes will rise, and overall job satisfaction is likely to be higher.
But for now, AI is just a tool we use. A tool that makes our jobs easier, faster and safer. Automated workflows are being used across industries, from recruitment to manufacturing, from high-tech offices to shopfloors. We are yet to harness the full potential of automation—but as AI/ML technologies continue to percolate into our organizational processes, they will undoubtedly revolutionize how business is done.
How DRS leverages automation
Digital transformation has taken the corporate world by storm. In the post-pandemic new normal, businesses now demand greater agility and cost-effectiveness. Pandemic shutdowns forced many business activities to a digital route—even those that resisted digitization earlier. As a result, AI, ML, and augmented reality technologies are now in high demand.
But hyperautomation assumes that you have achieved the basic levels of digitization and that your business data is structured so that AI/ML tools can harness it. These systems require data in the right type of format, and to feed those systems the right data, you need to use an intelligent document processing solution.
For example, advances in AI/ML have transformed OCR from a basic technology into a transformative technology enhancement.
At DRS, our intelligent data capture solutions leverage the power of AI/ML to transform your content management and document processing.
As hyperautomation continues to drive intelligent document processing, our experts are here to help you with harnessing AI/ML tools for data capture and automated processing.
Contact us today to learn more about how we are revolutionizing the way business is done!