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AIAACME

Create a more resilient and cost-effective with AI ACME. .

Integrating Your Human And Digital Work force Through Robotic Process Automation. Encourage Your Team To Take On Daunting Challenges.

AI IN RPA INDUSTRY

Robotic Process Automation (RPA) Is The Use Of Software "Robots" For Digital Tasks That Are Routine And Subject To Rules. These Robots Behave Similarly To Human Employees When Interacting With Software And Information Sources. RPA Software Accelerates Digital Transformation Because It Is Easy To Deploy And Does Not Interfere With The Business. RPA Software Is Also Ideal For Automating Operations On Legacy Systems Without Virtual Desktop Infrastructures (VDI), Database Access, Or Application Programming Interfaces (APIs).

AI IN RPA INDUSTRY

AI that can help

In Our On-going Series On The Uses And Advantages Of Robotic Process Automation, We've Highlighted Seven Advantages For Your Mid-market Company Of Bringing Some Robots In House.

LIFECYCLE MANAGEMENT FOR ROBOTS
Lifecycle management for robots

Keep Numerous Robots, Snippets, And Resources Up To Date With The Git Version Control System (VCS). Create A Source Control Repository That Is Synchronised Between Development, Test, And Production Environments.

ENSURE ADHERENCE
Ensure adherence

Robots Adhere Closely To The Procedure That Meets Your Criteria, Improving Compliance. Reporting Tracks Your Robots And Ensures You Have Access To Documentation At All Times.

IMPROVE THE USER EXPERIENCE
Improve the user experience

Teams Can Focus More On Serving Your Most Valuable Customers When Tasks Are Handled By Robots. Your Results Are More Efficient And Effective When Processes Are Standardised

Finance
Smart move

By Improving Employee Efficiency And Addressing Operational Weaknesses, Operational Processes Become Smarter, Giving Companies A New Competitive Edge.

Challenges Of AI in RPA

Intelligent document processing

We offer the Robotic process automation artificial intelligence-based cognitive intelligence that learns, evaluates, and classifies unstructured document content. ML and NLP build-in automate complex document processing.

Challenges Of AI in RPA

Design environment for low-code

We use an advanced robotic design studio for professional and home developers to visually recognize applications, screen areas, and objects in real-time.

Challenges Of AI in RPA

Lifecycle management for robots

We keep numerous RPA software, snippets, and resources up to date with the Git Version Control System (VCS). Create a source control repository that is synchronized between development, test, and production environments.

Challenges Of AI in RPA

Ensure adherence

We follow the UiPath robots adhere closely to the procedure that meets your criteria, improving compliance. Reporting tracks your robots and ensures you have access to documentation at all times.

Use cases in RPA

Top AI use cases in RPA

Accounting

Finance

Robot Process Automation (RPA) Use Case Outlines RPA Occurring At The Bank Of Finance. RPA Works Well In The Repetitive Procedures Of Financial Operations. The Use Case For Work fusion For A Head Of Automation At A Financial Services Company With More Than 10,000 Workers Entails Reading Data From A Spreadsheet And Entering It Into A Central Processing System. According To Him, The Advantage "Was That This Process Was Repeated Hundreds Of Times Every Day, Taking Up To An Hour Each Time, Thus The Capacity Saved Was Huge."

Higher efficiency

Accounting

According To An RPA Developer Who Utilises Automation Anywhere At A Firm With More Than 1,000 People, "We've Automated Journal Entries, Bank Reconciliations, Different Claims-accounting, And A Lot Of Financial Procedures." We Developed A System, For Instance, Where Accountants Can Drop Journal Entries And The Journal Entries Will Be Read And Entered Into Our Database. 40 Automations From His Business Are Currently Live On Bot Runner. The Main Use Case For Automation Anywhere, According To Eric D., A Business Apps Manager At New Jersey Resources Corporation, An Energy Company With Over 1,000 Employees, Is Automating Data Input Tasks For Accounting. They Are Currently Running Five Bots.

TECHNICAL STRUCTURE FOR SOLUTIONS

MACHINE
LEARNING

Machine
Learning

ARTIFICIAL
INTELLIGENCE

ARTIFICIAL
INTELLIGENCE

NATURAL LANGUAGE
PROCESS

Natural Language
Process

OUR TECH STACK

AI / ML FRAMEWORK

PYTORCH

PYTORCH

TENSOR FLOW

TENSOR FLOW

KERAS

KERAS

SCIKIT LEARN

SCIKIT LEARN

DATA MANAGEMENT

GIT

GIT

DATA LED

DATA LED

MARIA DB

MARIA DB

MONGO DB

MONGO DB

REDIS

REDIS

CLUSTER ORCHESTRATION

KUBE FLOW

KUBE FLOW

SLURM

SLURM

BACK END

NODE

NODE

PYTHON

PYTHON

GOLANG

GOLANG

FRONT END

REACT NATIVE

REACT NATIVE

JS

JS

REACT NATIVE

REACT

SYSTEM ENVIRONMENT

DEBIAN

DEBIAN

AZURE

AZURE

CENTOS

CENTOS

KUBERNET

KUBERNET

DOCKER

DOCKER

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