Artificial intelligence

News Bringing NLP and NLU to Business Data Management

Information management evolves with innovations in low-code/no-code technologies, intelligent automation, and natural language processing (NLP). These tools are growing in popularity and present a significant opportunity to improve the use of information management platforms such as Microsoft 365 for better collaboration and governance.

As a data management solutions provider, our cloud-native, API-first solutions combine low-code/no-code application development with Azure Cognitive Services capabilities to deliver intelligence with multiple unstructured data sources automation.

Low-code/no-code application development involves creating a software that combines model-driven processes with visualization tools to avoid code-based programming methods. Unlike previous programming methods, it no longer requires users to have specialized IT knowledge, which means that multiple employees within an organization can access the data it holds.

At the same time, NLP processes natural language text and transforms it into a standardized structure. Natural language understanding (NLU) — a brand of NLP — then interprets, determines meaning, recognizes context, and derives insights from given text. Machine learning algorithms can be used to recognize sentiment, process semantics, perform named entity recognition, and word sense disambiguation.

Although these technologies are not new, the quality and value they provide to the business has improved dramatically, and they play an important role in understanding management information. Information management can be effectively delivered by bridging unstructured data between low-code/no-code technologies and cognitive services within the enterprise to build automated processes that manage internal and external information flows and compliance.

For example, organizations can organize their data using low-code/no-code techniques enabled by NLP and NLU solutions to understand gaps and develop improved products and services in a safe and compliant manner.

The future of information management needs to take advantage of these advantages and effectively converge through integrated service and technology ecosystems. And that’s where we see the future developing within the platform.

Information comes in many forms and is processed in different ways. Where data is stored should not constrain business, so our platform provides a secure channel for insights from a growing field of expertise, harmonizing structured and unstructured data management while facilitating interoperability.

Thus, the development of future information governance models can be shaped as organizations debate how to digitally transform without impeding information creation, collaboration, and flow.

Paul Hudson is Chief Strategy Officer at Automated Intelligence

This article originally appeared in the Winter 2022 issue of Technology Record. To have future issues delivered directly to your inbox, sign up for a free subscription.

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