Linguamatics Extends Text Analytics Leadership in 2017

New innovations increase democratic and programmatic access to text analytics, expanding and speeding the transformation of unstructured data for knowledge discovery

Over the last year more customers have taken advantage of the capabilities of I2E with AMP for ETL (Extract, Transform, and Load) use cases,” said Linguamatics Chief Business Development Officer Phil Hastings. “It’s exciting to see the numerous ways customers are benefitting from the ability to transform their unstructured data to a structured format that can be loaded into data warehouses or data lakes, or consumed by downstream applications for broader access and decision support.”

This year Linguamatics released two major updates to the I2E platform, adding features that included enhanced results management options, and advances in core capabilities including spelling and OCR correction. In addition, Linguamatics launched its Community site for Linguamatics I2E customers and partners – including a new Developer site for Community members with programming backgrounds who want to learn more about I2E’s technical features and network with other users to share best practices.

At the 2017 Linguamatics Text Mining Summits, customers shared details about the innovative ways they are leveraging I2E. Client representatives from AstraZeneca, Cancer Research UK, Cell Signaling Technology, Huntsman Cancer Institute, Kaiser Permanente, Mundipharma, Penn Medicine, Pfizer, Roche and Sanofi discussed specific I2E use cases, from early drug discovery to clinical applications. Speakers also shared how they’ve successfully escalated their use of artificial intelligence machine-learning technologies, thanks to I2E’s ability to normalize unstructured data to enhance predictive models.

“Linguamatics has made outstanding progress this year in providing the benefits of text mining to a wider audience” said Linguamatics Chief Technology Officer, David Milward. “Our new web portal framework is part of an ongoing strategy to broaden access to powerful NLP capabilities. The development of AMP for highly scalable and fault-tolerant document processing, along with improved SDKs, backed up by the launch of our Community and Developer sites, is increasing the programmatic use of I2E, enabling NLP to underpin multiple applications in enterprise data analysis such as quality checking, extraction of meta-data and detailed relationship extraction.”