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
53%

of technical leaders indicated their NLP budget was at least 10% higher compared to 2019

31%

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

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

This workshop is aimed primarily at business leaders new to NLP and AI, and its focus is on understanding what NLP is and means in a business context. It encompasses various concepts from how NLP can benefit revenue, costs, customers and competition, to real business application case studies, while considering the bigger picture questions, including ethical ones.