How to Leverage Unstructured Data to Optimize Workflows
By VICTOR ANJOS
Bridging the Gap between Unstructured Data and ERP with AI and NLP
The interplay of Enterprise Resource Planning (ERP) with Artificial Intelligence (AI) and Natural Language Processing (NLP) can significantly benefit organizations. The use of ERP with AI and NLP unlocks insights and intelligence that has been missing from organizations since the advent of paper agreements.
ERP is the centralized brain of all the resources, materials, invoices, purchase orders, and contracts that make a business run providing a centralized database of all the things that make a business run, from supply chains to finances. However, there is a missed opportunity as a lot of unstructured but important data is stored in documents like invoices, purchase orders, and contracts that is not in the ERP.
Organizations can take advantage of this missing data by using AI and NLP. AI and machine learning can help automate and optimize workflows and processes within ERP, while NLP gives AI the ability to source information from unstructured text documents.
Machine learning and AI can optimize ERP processes, but the language used in documents is often unstructured and difficult to understand. This is where NLP comes in, giving AI the ability to read and source information from these documents. By enabling AI to understand unstructured data, organizations can benefit from real returns on their investment, leading to better optimization of workflows and processes.
” AI and machine learning can help automate and optimize workflows and processes within ERP, while NLP gives AI the ability to source information from unstructured text documents..”
Apogee Suite of NLP and AI tools made by 1000ml has helped Small and Medium Businesses in several industries, large Enterprises and Government Ministries gain an understanding of the Intelligence that exists within their documents, contracts, and generally, any content.
Our toolset – Apogee, Zenith and Mensa work together to allow for:
Any document, contract and/or content ingested and understood
Document (Type) Classification
Content Summarization
Metadata (or text) Extraction
Table (and embedded text) Extraction
Conversational AI (chatbot) Search, Javascript SDK and API
Creating solutions specific to:
Document Intelligence
Intelligent Document Processing
ERP NLP Data Augmentation
Judicial Case Prediction Engine
Digital Navigation AI
No-configuration FAQ Bots
and many more
Check out our next webinar dates below to find out how 1000ml’s tool works with your organization’s systems to create opportunities for Robotic Process Automation (RPA) and automatic, self-learning data pipelines.