Your Business’ New Best Friend: The Three Tiers of The New Automation Toolbox
The integration between businesses and intelligent automation is becoming a crucial step in transforming business operations. Technological revolutions such as Robotic Process Automation, Intelligent Automation, and Machine Learning are at the forefront of conducting successful business in a competitive environment. These different types of automation can be broken down by their level of business to IT collaboration, and make up “The New Automation Toolbox.”
In the lead up to Intelligent Automation Week 2019, let’s break down each component of the toolbox and explain the potential value of each process to your business:
Programmable macroinstructions can be implemented in order to automate repetitive tasks such as certain keyboard commands and mouse movements. This eliminates lots of small time wasting processes, which went implemented in bulk, saves a lot of employee time.
Data Prep and Analysis Tools
Pre-organised data can be optimized analysis, digitally organised and prepared data can greatly contribute to turnaround of quality analysis.
Robotic Desktop Automation
The design of robots to mimic human operation of software by automating rule-based processes. This can contribute to uncovering performance flaws in certain processes, creating avenues to increased process efficiency.
Workflow Automation Software
An automated guideline based on pre designed rules for routing specific tasks and data to the desired destination. It can be used as a substitute for processes that would normally be handled by humans. This can remove error and improve the speed of transfers, and also allows for human employees to focus on more meaningful tasks.
Business rules engines can be programmed to automatically execute rules that originate from company policy or operational decisions. These can be carried out separately from source code, which allows for quicker means of experimentation with how rules are automatically enacted.
An automated version of human optics that allows computers to gain deep recognition of images and videos with intelligent insight into the contents of the media.
Robotic Process Automation
Using AI and machine learning, specific repetitive tasks can be automated in the end-to-end process, leaving the rest to be managed by humans. This frees up time for employees to pursue more significant tasks and reduce costs for simple and accurate processes.
Automation-Enabled Enterprise Platforms
In platforms that run via a number of integrated software components, automation can allow business solutions, apps, and digital content to run faster and smoother. This increased level of operational efficiency contributes to processes being completed faster, and more valuable information reaching employees.
Intelligent Process Automation Platforms
Artificial intelligence and robotic process automation can be used in conjunction to define and eliminate the need for human intervention in specific functions and processes. This streamlines the human element in operations and ensures that any process that can be completed with artificial intelligence is implemented effectively.
Intelligent Business Process Management Systems
New forms of artificial intelligence can identify and streamline business processes by analysing and optimising individual functions with precise detail. These systems are assisting with, expanding, and refining the capabilities of complex business plans.
On the front line of innovation, machines can automatically identify, manipulate, and learn from data in order to make decisions. This type of artificial intelligence can unveil new perspectives and ways to implement specific lessons that machine learning has garnered from data, in a more efficient and detailed way than humans can. This leaves humans to work in ways that were not possible when they had to focus on searching through masses of data in order to identify value, making the jobs they do undertake much more meaningful.
Natural Language Processing
A facet of artificial intelligence which can infer meaning from human languages, allowing computers to have meaningful interactions with humans. Being able to understand natural human language can give computers a valuable insight into human interaction, and respond through replicating human language to convey information with a whole new level of meaning and understanding.
The implementation of these tools starts at the low-level end collaboration, but looking forward, the future lies in an organisation’s ability to successfully pursue top-level business & IT collaboration. Find out more about the exciting future of business to IT collaboration, and experience examples from industry leaders at Intelligent Automation Week 2019.