The Future of Automation

As we slowly go back to normal operations, manpower shortages might become a serious issue, especially for manufacturing and supply chains.

Automation, with the help of A.I., robotics, and the internet of things, will be a key alternative solution to operate manufacturing in addition to other operations.

The latest leader in the field of automation is Hyper Automation; the continuous integration of automation into business operations that is considered the next phase of Digital Transformation for competitive businesses.

Automation benefits include:

  • Consistency in delivering products and services
  • Reduction of errors in operations
  • Increase in effectiveness of data use

Hyper automation requires organizations to have a DTO — Digital Twin of an Organization — the collective group of software models that make up an organization — to enable higher performance.

Gartner reports that: “Understanding the range of automation mechanisms, how they relate to one another, and how they are combined and coordinated, is a major focus for hyper automation.”

This enables organizations to model a number of scenarios that will prepare business leaders for any potential shortcomings in their business model.

What are the components of hyper automation?

Robotic Process Automation (RPA) RPA allows you to complete data migration when your systems don’t have compatible APIs. This is especially important if you are using older systems with outdated APIs. Using RPA makes migrating data from system A to system B less labor intensive and eliminates repetitive tasks like data structuring and input.

Intelligent Business Process Management (iBPMS) iBPMS is virtual intelligence that aligns people with machines and systems of the technological infrastructure. It works by having modeling and rules that determine the best practices of an organization to enable business and IT professionals to collaborate on improvement of process and decision models.

Artificial intelligence AI is used to digitize time-consuming routine processes, like answering basic customer questions or processing a return. It has evolved to enabling machines to recognize faces and voices, which makes machines capable of performing many tasks. AI must be strategically employed in order to achieve hyper automation.

Advanced Analytics Advance Analytics allow digital businesses to focus on efficiency by understanding business trends and expanding on them for better customer insights and decision making.

Planning to dive into hyper automation? Check out our and solutions to get started!

Why should you?

  1. Increase your employees’ productivity & Optimize KPIs
  2. Deliver on ROI
  3. Increase business agility

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