Hyperautomation is a combination of technologies like RPA, iPaaS, Artificial Intelligence, and process mining that can transform business operations. Natural Language Processing, OCR, and machine learning help in understanding and processing human language and data, while RPA and low-code platforms enable automation of various business processes. To achieve hyperautomation excellence, it is necessary to begin with task automation and gradually include all business operations. AutomationEdge is a hyperautomation platform that offers a combination of automation and AI technologies, including UI automation, IT Process Automation, and chatbots. With features like security, audit logs, and user management, AutomationEdge has achieved partnerships with global organizations. Read this presentation by Siva Juturi, Chief Customer Success & EVP at AutomationEdge to learn more.
4. Humanizing Hyperautomation – Rita at Unimed
Observe
Hear & Speak
Understand
Perform
02
04
01
03
Observe (Vision of Digital Workers)
Understand (Minds of Digital Workers)
Hear & Speak (Ears & Mouth of Digital Workers)
Technologies like optical character recognition (OCR), which scans documents to
convert them into electronic files, and intelligent character recognition (ICR) that
recognizes fonts and different styles of handwriting, images, and videos, can
generate insights.
Perform (Action of Digital Workers)
With this capability, machines can read, write, speak and interpret natural human
languages. The underlying technology here is natural language processing (NLP), a branch of
AI. NLP breaks down a human’s natural sentence into fragments to analyze the syntax and
semantics.
This capability is about executing specific tasks for which you program the bots, for
example, automating data collection, data entry, filing applications and
authenticating users, sending emails, preparing reports, data reconciliation, and
more. With technologies like RPA and low-code platforms, it is possible to create
intelligent, smart workflows.
Take the above instance of data collection. Once the data is collected, it needs to be
analyzed for deriving key insights and decision-making. By leveraging machine
learning, data mining and visualization, and big data management, data can be
ingested into various databases, after which the required decisions are made.
5. AutomationEdge Platform
Top 5 FTE Spends for a CIO – 2022-23 – Source Gartner
RPA – Business Workflow Automation
iPaaS – Integration Platform As a Service
ITPA with ServiceNow
Conversational /Chatbot
Low Code/No Code HyperAutomation
Platform
6.
7. The Path to Hyperautomation
Hyperautomation Uses a
Combination of Technologies and
Tools Integrated into RPA
Process
Mining
Advanced
Analytics
Artificial
Intelligence
BPMS
iPaas
RPA
9. Banking Insurance
Other Financial Services
Retail and Consumer Products
Industrial Products
Travel , Hotel and Real Estate
Others
Media and Communication
Technology and BPO
Healthcare
Happy Global Customers