Xenonstack Recommends

Intelligent Process Automation Systems and Benefits

Acknowledging Data Management
          Best Practices with DataOps


What is Intelligent Automation?

Artificial Intelligence is a vital factor in the field of Education, Market or Finance. It is a step towards the introduction of intelligence in every field. The Integration of Intelligence with automation is known as "Intelligent Automation." The main points which can define the presence of Intelligence in the automation are -

  • There is an amount of some intensity of automation linked with the procedure of the components of the system.
  • These components have the power to decipher the condition of the system's ecosystem and to identify the purpose of the other components.
You would also love to read our trending blog based on Automation and Continuous Security

How Intelligent Automation Works?

The Intelligent Automation process divided into three prime modules, which has to follow their procedure and have to functionalize to achieve their different objectives.

  • Chatbot - An interface which provides the impression of the "Doer."The main objective of this module should be "Automating the pursue the process."
  • Decision System - A Decision System to decide what the "Doer" can do the main target is that it can functionalize as a "Thinker." The main target is to "Automate the thinking process."
  • Self - Learning model - These modules allow to provide the learning power to the whole automation process. The primary target is to "Automate the learning process." Give a read to this blog based on how Test Automation in Digital World matters the most.

Intelligent Automation Benefits

Key Benefits Description
Reductions in cost Takes less maintenance cost and also reduce the co-worker's loss as well as take off the burden from them.
Increment in Performance Provide accuracy in computation related problem which results in an increase in performance
Advance Experimentations New products and services can be introduced using endless experimentation
Expedition in the time taken by market With the help of it, the time to market can be accelerated
Reductions in the systems and operations complexity The operations complexity and system complexity can be reduced as it provides very high computation power.
Increment in production Automation with AI can also increase the power of the production for an enterprise.
Increment inefficiency As computation power increases due to the introduction of AI, time complexity reduces as well as efficiency increases.
An increment in the enterprise's innovation power The introduction of AI relatively increases the innovation power of the enterprise, as new challenges arrive which require innovations to tackle those challenges.

Why Automation Matters?

  • Processing Speed - The speed of process gets an increase with the introduction of Artificial Intelligence in the Automation.
  • Accuracy Improvement - Artificial Intelligence is a computation process deep down inside which make less error-prone and increase the accuracy.
  • Immense Availability - There are no issues to make available a robot for 24/7 and apparently without any pay.
  • Reduction in Cost - Every robotic or automation process requires a low maintenance cost as compared to the human workforce.
  • The increment in Adaptability - Intelligent Automation is the non-living entity which can be turned off /on at will.

How to Adopt Automation?

Every product seems to be revolutionary on paper. Whether someone knows every step or every concept but the main game is providing the theory of a model a life or in the technological jargons "bringing any model on to the production level." The following diagram is the demonstration of the components and their placement on the production level.

Steps to follow while developing an Intelligent Automation -

  • Initialize by finalizing a theory and then try to give the demonstrate the approach.
  • Decide the appropriate exceptions.
  • Try to determine the robust solutions.
  • Identify the aid needed for the whole project and import the missionary persons on the platform.
  • Identify and bring the tools required for automation.
  • Follow the rules of delivering the methodology quickly.
  • As intelligence involves intelligence, choose the procedure intelligently.
  • Make sure that Information Technology should be the internal part.
  • Record and collect the targeted benefits concurrently.
  • Define the roadmap for tenability.

Best Practices for Implementing Artificial Intelligence in Automation

Rules which should be followed to achieve the best results while implementing Artificial Intelligence in the field of automation -

  • Give preferences to the perfectly satisfying Intelligent Automation use cases.
  • Calculate the correct and pragmatic the exceptions of Automation.
  • Develop a well-defined roadmap of the whole procedure, while getting into the process.
  • Elect the appropriate and well-suited Automation tools and Operators.
  • Re-architect the entire method to boost to achieve the targeted benefits.
  • Empower the active cooperation between the IT field and business field.
You would also love to read more about Robotic Process Automation in this insight.

Intelligent Automation Tools

Type of Tool Key Features Example
Bot programming tool Recorders of Macro size, Push and Pull (Flexible) visual programming tool UiPath
Bot Managing tool A tool which can handle the exception of business, Tool which can provide the user access levels differently. UiPath Orchestrator
Bots Integrations York fusion RPA Express
Thinkers Cognitive automation can deal with the structured and unstructured type of data Have to implement according to use-case
Learners Which can use historical as well as current data, which can be used by the employees without any complexity? York fusion

Related blogs and Articles

A Guide to Implement RPA on Cloud Architecture

Cognitive Automation

A Guide to Implement RPA on Cloud Architecture

Introduction RPA on Cloud Architecture RPA on Cloud Architecture means, how the RPA bot is performing on the cloud architecture. RPA cloud architecture is the process of RPA bot integrating into cloud architecture. Nowadays, every organization is moving towards Cloud and automation for better productivity. RPA bot automates the business processes on the cloud platforms. Cloud platforms such as...