Scott Francis had a chance to sit down with one of our new board members, Tom Maizels, and talk about the intelligent automation market.
Intelligent Document Processing is a business process that relies on efficient orchestration between machine and human tasks. With BP3 Sherpa, the Orchestration engine ties all the components together to create a robust and scalable solution that can process millions of documents a day as easily as it can process one
Check out another component that makes up Intelligent Document Processing, Human In The Loop (HITL). HITL is user interface that allows humans to participate in the data extraction process.
Read and learn about one of the four components that make up an IDP pipeline, the Optical Character Recognition Engine, with IDP expert, Tom Wilger.
When it comes to Data Extractors for Intelligent Document Processing, one size does not fit all. With BP3 Sherpa, and our AWS-Powered IDP pipelines, we've created different Data Extractors for different document structures; sometimes, we even use multiple extractors on a single document. Read more about the three basic types of Data Extractors.
So what is an Intelligent Document Processing Pipeline? Check out this week’s Tuesdays with Tom where Tom Wilger answers this burning question. Tom is also touching on topics such as what it means to configure an IDP Pipeline in the cloud and what four components make up an IDP Pipeline.
Sherpa is BP3’s Intelligent Document Processing (IDP) solution. It is a combination of process, artificial intelligence, machine learning, and natural language processing. With Sherpa, identifying and extracting information from documents, in order to improve business efficiency has never been easier.
Video - BP3 Global - Working at BP3 and the company culture
David cuts to the chase on the practices that make sense for transformation vs. Innovation.
Neil Ward-Dutton in his weekly video short, focused this time on the Business Automation Toolkit. I like this point of view and how he explains it.
What good is artificial intelligence if there isn't an ethical framework?
This is part 3 of a 3-part series about a tree house. In this case, we need to get some care for our star of the story when he falls out of the tree house! With each part, you can observe how process transformation can help companies achieve a faster way to help their customers:
This is part 2 of a series about transforming processes, using a utility company as the star of the story(!) :
I love how he emphasizes that you follow the value - if the next most valuable thing to do is more RPA you do it, if it is end-to-end process then you do that - follow the value:
encapsulate the AI or Machine Learning in it's own layer or component, and you encapsulate the process or automation into it's own layer (or component