Natural Language Processing

Sarah Wong2023-08-04T17:24:03+00:00July 6th, 2022|Categories: Data Capture, Data Extraction, OCR/ICR|Tags: computer vision, Data Capture, Natural Language Processing|

What is the difference between OCR and AI/ML Data Capture? To put it simply, OCR recognizes text and follows simple commands. AI/ML Powered Data Capture captures the intent of the document and reads the words. NLP Logix’ patented Data Capture Automation technology incorporates Natural Language Processing, Computer Vision, and Machine Learning to capture all the data in a document in context. This process interprets the data objectively, much the same way a human would. Over time, Data Capture Automation can learn from it's mistakes and adapt to new content. Incorporating additional automation to your data extraction process can increase scalability, lessen the need for human [...]

Our Approach to Automation – Start Small

Analytics, Artificial Intelligence, Automation, Machine Learning, Natural Language Processing, Predictive Modeling

Our Approach to Automation – Start Small

Sarah Wong2022-07-20T19:55:37+00:00March 20th, 2021|Categories: Analytics, Artificial Intelligence, Automation, Machine Learning, Natural Language Processing, Predictive Modeling|Tags: Analytics, Artificial Intelligence, automation, Machine Learning, Natural Language Processing, Predictive Modeling|

Our Approach to Automation - Start Small Automation to compensate for an employee shortage Help Wanted! Signs are up everywhere, as employers are building their production back up. But finding qualified employees is difficult right now. Are you spending time trying to figure out how to accomplish more, with less staff? Regardless of the industry you are in, this is a great time to look into automation through AI/ML. Where do I start with the Automation process? One of the most common questions we get from clients is where to even get started as that task can often seem daunting. [...]

Document Processing – Case Study Series

Automation, Case Studies, Data Capture, Natural Language Processing

Document Processing – Case Study Series

Sarah Wong2022-08-17T17:06:57+00:00April 28th, 2020|Categories: Automation, Case Studies, Data Capture, Natural Language Processing|Tags: Artificial Intelligence, automation, Data Capture, Natural Language Processing, OCR|

Automated Document Processing Pipeline Focus on Scribe Fusion Performance Matters. The Scribe Fusion technology allows for the processing of large volumes of paper documents with a mixture of OCR/ICR and artificial intelligence to interpret documents in much the same way humans do. This novel approach has led to drastic improvements in the data capture accuracy rates and scalability. With NLP Logix's Scribe Fusion™, our technologies were developed by an award-winning team of deep learning experts. We move beyond deploying out-of-the-box OCR/ICR software using artificial intelligence to interpret documents in much the same way humans do. We help our clients achieve levels of accuracy that are not possible with existing data [...]

How A.I. Can Improve a Recruiter’s Productivity

Artificial Intelligence, Automation, Case Studies, Matchpoint, Natural Language Processing

How A.I. Can Improve a Recruiter’s Productivity

Sarah Wong2021-01-24T14:26:50+00:00April 10th, 2020|Categories: Artificial Intelligence, Automation, Case Studies, Matchpoint, Natural Language Processing|Tags: AI, Artificial Intelligence, automation, Matchpoint, Natural Language Processing, Recruiting|

How A.I. Can Improve a Recruiter's Productivity Although the technology behind A.I. continues to make advancements, the main purpose behind these solutions is still the same. Automation is the key driver behind most AI/ML projects. The ability to teach a computer how to perform time-consuming, tedious and repetitive tasks not only increases efficiencies, but decreases labor costs. The staffing and recruiting industry has begun to embrace AI as a way to improve operations and drive more placements. Major advancements in Natural Language Processing (NLP) have allowed firms to automate a majority of the time spent in screening, matching and engaging candidates, which frees up more of a recruiter’s time. This allows recruiters [...]