Robotic Process Automation, Machine Learning and Deep Learning
Businesses are leveraging the power of machine learning (ML) and deep learning (DL) methods to help them extract better quality information, increase productivity, reduce costs, and extract more value from their data. As the amount of data continues to grow along with the processing power of technology, businesses will continue to incorporate ML and DL into their business processes. However, researchers have found that Artificial Intelligence adoption rates are still very low.
Robotic process automation (RPA) is a software technology that makes it easy to build, deploy, and manage software robots that emulate humans’ actions interacting with digital systems and software. Robotic process automation streamlines workflows, which makes organizations more profitable, flexible, and responsive. It also increases employee satisfaction, engagement, and productivity by removing mundane tasks from their workdays.
We partner with UiPath to provide RPA solutions to our customers in both private and public sectors. UiPath is a Robotic Process Automation platform for end-to-end high-scale automation. UiPath software offers solutions for enterprises to automate repetitive office tasks for rapid business transformation. Our capabilities include:
- Implemented a software as a service (SaaS) ML / DL platform. Users can upload and store text, media and various file types and then extract those files into a variety of AWS intelligent tools and resources. Platform services include: Textract, Polly, Translate, Transcribe, Comprehend, Fraud Detector, Recognition
- Implemented RPA process to automate a financial loan application system that combine the power of RPA and Machine Leaning with UiPath
- Eliminate manual process involved in loan application process
- Decrease business processes workflow life cycle
- Intelligent Process Automation to expedite processing of data extraction and relationships mapping from unstructured documents
- Prototype of Intelligent Process Automation to expedite processing of business procedures such as a loan application.
- Combines capabilities of Business Process Management (BPM), Robotic Process Automation (RPA), Optical Character Recognition (OCR), ML / DL and Natural Language Processing (NLP)
- Machine Learning models that categorize and predict decisions, and self-learns through corrections
- "See" and understand handwritten applications emailed to the board using ML/DL/Natural Language Processing
- Reduction in processing time for common applications.
