NLP for Business Leaders

All businesses will be affected by NLP & AI in the coming years.
Learn what it means for your business.

Source: Gradient Flow
60%

of technical leaders indicated their NLP budget was at least 10% higher compared to 2020

33%

stating their budget was at least 30% higher than the previous year

76% of organizations prioritize AI over other IT initiatives
Source: Algorithmia

Resources

Healthcare Business, December 2021
ComputerWorld Italia, December 2021
JAXenter, November 2021
HIT Consultant, November 2021
ITProPortal, September 2021
DZone, December 2020
2021 Enterprise Trends in Machine Learning
Source: Statista 2020

NLP Market Growth

North America and Asia are predicted to undergo the largest increases in revenue in the AI software market, with AI expected to contribute over 10% to the GDP in both regions in 2030.

  • The NLP market is predicted be almost 14 times larger in 2025 than it was in 2017
  • Increasing from around 3B$ in 2017 to over 43 B$ in 2025

NLP Use Cases

What are the main of NLP use cases that your production system support? (choose all that apply)
Source: Gradient Flow 2020 NLP Survey

Document Classification

Document Classification

Document classification or text categorization is the task of assigning a document to one or more classes or categories.

Text Classification into a Hierarchical Market Taxonomy using Spark NLP

Spark NLP in Action: Improving Patient Flow Forecasting at Kaiser Permanente

Named-entity Recognition

Named-entity recognition (NER) or Entity Extraction finds named entities mentioned in unstructured text such as names, organizations, locations, or medical diagnoses.

Roche automates knowledge extraction from pathology reports with Spark NLP

SelectData interprets millions of patient stories with deep learned OCR and NLP

Sentiment Analysis

Sentiment analysis (also known as opinion mining or emotion AI) refers to the use of natural language processing to identify, extract, quantify, and study affective states and subjective information.

SHM Foundation applies advanced analytics to improve mental health among HIV positive adolescents in South Africa

Information Extraction

Information extraction (IE) is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources.

In most of the cases this activity concerns processing human language texts by means of natural language processing (NLP).

A Unified CV, OCR, and NLP Approach for Scalable Document Understanding at Docusign

Spark NLP in action: intelligent, high-accuracy fact extraction from long financial documents

Introducing the first virtual workshop on NLP for Business Leaders