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Infrrd Labs Tackles Tough Problems
Infrrd Labs is working on tackling tough problems. Its focus is currently on key-value pairs, to better map data representations — such as mapping ‘Dallas’ to ‘City’, irrespective of document type. The company looks to build solutions that will be useful across customers and domains. It’s also trying to build models to account for common fields from the get-go, to further reduce the reliance on training data.
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Data Insights Need… Data
Intelligent Document Processing (IDP) can help solve document processing challenges healthcare and insurance firms struggle with. In this gtog post, we will walk through an example of how one firm used IDP to overcome manual processing bottlenecks.
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The #1 Question People Ask About OCR
A Gartner analyst takes 20 calls a month on OCR and Intelligent Document Processing from enterprise buyers looking to make their next moves.
We asked him what they’re looking for in a data extraction solution.
And he said, “solution accuracy.”
Here’s why: Vendors aren’t generally willing to provide this most critical metric. Instead, they say, “it depends.” They don’t want to commit, which is unsatisfactory to the enterprises who have real money on the line.
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AI Makes Expense Reporting Easy
Originally published at infrrd.ai.
Rindegastos, a Chile-based cross-platform application that digitizes the expense reporting process, had a problem. It needed to process receipts from Chile, Argentina and Peru, but being able to read the data from different countries and detect which country the receipt was coming from turned out to be a tall order.
Originally published at infrrd.ai.
Did you read the first part of this blog? If not don’t worry click on the link below.
How Rindegastos Creates An Incredible Experience With AI
How Rindegastos Creates An Incredible Experience With AI
Expense reporting has always been a hassle. There are receipts to keep, loads of dates and amounts and details to enter — but people do it, because they like to be reimbursed for the money they have spent on company time. Nobody really likes manually filling in the forms required to get their money back, though.
Infrrd has helped put the company on a trajectory to reach its goal, Yoma adds. “The goal we had in the beginning, when we started this company, is to make this process for the end users the simplest process, that can just be ‘take the picture,’” he explains. “That’s all we want for this process, and we can achieve that right now.
To Be Continued
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Why AI Can't Make Chai
Check out the Interesting video https://hubs.ly/H0r-f0t0
Automated Data Extraction From Annual Reports
Does your firm run on data insights? Find out how an investment advisory firm automated data extraction from complex, unstructured financial reports using Intelligent Document Processing (IDP).
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The 70% Rule of Thumb for AI Projects
AI is powerful stuff—but technology alone won’t create business value. In fact, building good, useful AI with its accompanying technology is really only about 30% of the challenge. Taking advantage of its power is the other 70%. A project needs to both create AI insights and use those insights to move the needle.
Want to Use AI to Transform? Know This
To create business impact from AI requires AI algorithms plus technology plus process transformation. After years of helping our clients create business value using AI, we know the 70% rule of thumb to be a valid principle with broad application.
Get the Ebook: 6 AI Pitfalls to Avoid
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