Making Automation More Intelligent with Hyperautomation

  • Making Automation More Intelligent with Hyperautomation

Automation is leading the technological revolution of the early 21 st century. Tools like artificial intelligence, robotic process automation (RPA), and machine learning (ML) have been developed and adopted by many industries to automate and streamline tasks and processes. This frees up employees to engage in more meaningful work. However, Gartner argues that RPA and similar tools are not enough on their own. Instead, Gartner believes organizations need to adopt the concept of hyperautomation, which they labeled the No. 1 technology trend of 2020.

What Is Hyperautomation?

Automation has gone through an evolution over the past few years. It began with the automation of simple tasks, then moved on to the automation of individual processes, then progressed to automation across multiple processes. Hyperautomation is now taking the concept of automation to the next stage of its evolution.

Hyperautomation is a term that was introduced by Gartner. It encompasses a combination of complementary automation technologies – RPA, AI, ML, and intelligent business management software (iBPMS) – that together take the automation of business processes beyond what any single automation tool can offer.

What Hyperautomation Can Do?

RPA is confined to interpreting structured data based on a set of established rules. This limits RPA’s ability to deal with more complex data analysis. However, hyperautomation can handle unstructured data, in addition to structured data, which turns it into a powerful analytical tool.It uses AI and ML to learn as new data comes in and outcomes change.

What this means for organizations is simple. Hyperautomation will allow you to provide an end-to-end solution that goes beyond just automating repetitive tasks. Instead, it provides intelligent monitoring and analysis that has the ability to assess and reassess data across multiple systems and departments in order to augment and support decision-making. And the best part is that this is all done in real-time. Hyperautomation analyzes the data as it flows in,which means decisions can be made in a timely manner.

The capabilities of hyperautomation are so powerful that it can result in the development of what Gartner has termed a digital twin of the organization (DTO). A digital twin is a system that all organizational departments and interested parties can connect to in order to get the information they need. This eliminates the need for multiple channels through which data is delivered and allows hyperautomation to provide ongoing intelligence that drives business decisions by making it easier to see opportunities as they arise.

The result? Resource optimization, lower costs, improved employee satisfaction, enhanced customer relationships, and increased revenues. Hyperautomation will also make your organization more agile, providing the ability to change processes as required to keep up with internal organizational changes, industry changes, and external changes (such as the COVID-19 pandemic of 2020) that can affect operations.To learn more about what hyperautomation can do for your organization, contact Tangentia today.

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Tangentia is a Platinum Partner of IBM and well as partners with Automation Anywhere, UI Path, Blue Prism, Adobe, Microsoft, Salesforce, Amazon and leading enterprise software vendors. We work with customers globally with offices in Canada and India to implement their RPA strategies using an agile methodology.
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How AI Can Support the New (and Old) Way of Learning

  • How AI Can Support the New (and Old) Way of Learning

When COVID-19 made its presence know in early 2020, everything ground to a halt – including school. A whopping 1.6 billion children in 191 countries were out of the classroom for the remainder of their school year, with parents trying desperately to help them learn at home. Meanwhile, education institutions, private schools and teachers around the world have been scrambling to map out a strategy for bringing kids back to school in the fall. Those strategies are now in place and kids are going back.

The development of the new back-to-school strategy has created the need to adopt technology that will support remote learning. And while many schools hope to see their students back in the classroom, the reality is often a hybrid model of learning, with some of it done remotely, or a full remote learning schedule. Fortunately, the technology exists to make this remote learning journey a smooth one.

RPA to the Rescue

AI In Education & Private School Learning Environments Not long ago, it was thought that the adoption of artificial intelligence (AI) technology in the classroom would lag far behind that of other industries. However, the need for remote learning that COVID-19 has created is shining new light on the need for AI technology to support learning.

Fortunately, AI, along with the Internet of Things (IoT), has advanced enough to become a powerful tool for education systems, the teachers they employ, and the students they educate. Simply put, AI can benefit the teachers and the students in many ways.

Teacher Benefits

AI can help teachers, whether they are teaching in the classroom or remotely. According to McKinsey, teachers work 50 hours a week and only 49% of that time is spent interacting with students. In addition, 20%-40% of those hours are spent on tasks that could easily be automated with the technology that currently exists. That is time teachers could be using to
improve the student experience and provide them with higher quality teaching.

Tasks that can be automated include administration, preparation, and student evaluation and activities that directly support student learning. This would benefit students whether they are learning in the classroom or online.

Student Benefits

The use of AI and chatbot technology can bring immense benefit to students, either in the classroom or remotely. This technology makes it possible for teachers to personalize the learning of every child they teach. This tailored learning approach will take into account personalities, learning disabilities, learning styles, and interests to create a unique and rewarding experience each and every student.

AI can also act as a teaching assistant, with chatbots available 24/7 to answer student questions as they arise. This means a child doing work at 8:00 pm can ask a question if they get stuck on a problem and receive an immediate answer.

Student safety is also a major issue when it comes to going back to the physical classroom during the COVID-19 pandemic. AI can be used along with IoT to connect devices with cameras and sensors to gather data in real-time and detect unsafe situations as they unfold. Alerts can be sent to teachers and staff, who are not able to monitor every child at every moment,
allowing them to respond and ensure a safe environment for everyone.

Ultimately, the technology that is available to education administrations can support teachers and students in ways that can help them maximize their time, improve outcomes, and increase safety. With student needs growing more complex and no way of knowing how long this current pandemic will last, the time to adopt AI in the classroom, whether physical or virtual, is now.

Learn more about Tangentia’s TIA (Intelligent Automation) Education platform and discover how to the harness the power of AI to streamline processes, support students and enable

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Tangentia is a Platinum Partner of IBM and well as partners with Automation Anywhere, UI Path, Blue Prism, Adobe, Microsoft, Salesforce, Amazon and leading enterprise software vendors. We work with customers globally with offices in Canada and India to implement their RPA strategies using an agile methodology.
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