Trends And Innovations In Intelligent Document Processing
The IDP landscape is rapidly evolving from OCR to AI-driven LLM/VLM solutions, influenced by open-source models, compliance needs, low-code deployment, and cost trade-offs. Explore the full article to uncover detailed insights and industry-specific implications.
Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?
In my two decades of experience, I have split my time between consulting on the vendor side, and leading enterprise platforms on the client side.
In consulting, I spent time offering enterprise solutions to a diverse range of clients from various industries, including oil and gas, telecom, government, manufacturing, and financial services. Meanwhile on the client side, I established large teams that were organized around core platforms and offering shared services to the lines of business.
Throughout my career, I focused on unstructured data in all forms but particularly documents, within the context of digitalizing and automating processes to achieve straight through processing.
My hands-on experience, implementing solutions from many vendors, as well as my experience researching the market to select the right solution to solve the type of business process problems we were facing, gave me the depth of knowledge and the wide lens to be able to paint a meaningful picture of the industry landscape.
These days I have been advising startups and consulting firms on IDP strategies.
I am happy to focus on Intelligent Document…
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