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A Step-by-Step Guide to Intelligent Document Processing
In “A Step-by-Step Guide to Intelligent Document Processing,” DataBank IMX provides a detailed roadmap for organizations aiming to implement Intelligent Document Processing (IDP). The guide emphasizes the importance of transitioning from physical to digital documents to enhance storage, retrieval, and collaboration. It advocates for investing in document management software with features like version control and automated workflows. Organizing and categorizing digitized documents systematically is highlighted as crucial for efficient access. The article also discusses leveraging Optical Character Recognition (OCR) technology to convert scanned documents into editable text, automating repetitive tasks to streamline workflows, and implementing robust security measures, including regular backups and access controls, to protect sensitive information. By following these steps, organizations can significantly enhance their document processing efficiency and overall productivity.

Understanding Intelligent Document Processing
In “Understanding Intelligent Document Processing,” DataBank IMX explores how Intelligent Document Processing (IDP) leverages artificial intelligence and human validation to convert unstructured content into structured, usable data. The article highlights IDP’s ability to process various document types—including physical paper and digital PDFs—automating data extraction and reducing manual entry errors. Key benefits discussed include enhanced data accessibility, improved compliance through audit trails, and increased operational efficiency. DataBank’s approach combines advanced algorithms with human oversight to achieve accuracy rates surpassing 98%, outperforming traditional manual or OCR methods. This fusion of technology and expertise enables organizations to streamline workflows, minimize data waste, and make informed decisions confidently.

Feast Not Famine: Catastrophic Loss Impacts Insurers’ Ability to Service
In “Feast Not Famine: Catastrophic Loss Impacts Insurers’ Ability to Service,” DataBank IMX explores how a surge in catastrophic loss events is straining insurers’ operational capacity. From natural disasters to large-scale emergencies, these events highlight critical gaps in claims processing, customer communication, and backend infrastructure. The blog underscores the importance of modernizing systems with automation and digital tools to ensure service continuity, even under pressure. With the right technology, insurers can improve agility, maintain customer trust, and better navigate the complexities of high-volume, high-stakes claim environments.
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Level Up Your Summer series

Level Up Your Summer series
Summer 2025
Innovation doesn’t take a vacation. In this on-demand series, DataBank CEO Matt Charlson sits down with leaders from Jadu, Hyland, Pryon, and Box to explore the future of digital transformation. From AI agents and intelligent automation to cloud content strategy, each episode delivers sharp, executive-level insights in under 25 minutes—designed for decision-makers ready to move fast and lead forward.

Episode 1 - Preparing for the Age of AI Agents
Guest: Suraj Kika, CEO of Jadu
Join DataBank CEO Matt Charlson and Jadu CEO Suraj Kika as they explore the rise of AI agents and what it means for the future of digital services. Learn how Jadu is helping organizations modernize service delivery, improve accessibility, and prepare for the next wave of intelligent, self-service experiences.

Episode 2 - Hyland’s Evolution: CIC + OnBase
Guest: Colleen Alber, Product Evangelist, Hyland
Hyland’s Colleen Alber sits down with Matt Charlson to discuss how the Content Innovation Cloud (CIC) and OnBase are evolving to meet the demands of today’s digital enterprise. Discover how these solutions simplify user experiences, connect fragmented processes, and help teams move faster with purpose-built AI capabilities.
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Rapid cloud, AI, and machine learning deployment spur changes in leadership at DataBank
As more organizations are looking to leverage machine learning, AI, and other advanced technologies, we’re sharpening our focus on improving data quality, accessibility, and management.
MODERN TECHNOLOGY APPLICATION
7 reasons why companies are turning to intelligent document processing
Having reliable data is no longer a luxury but a requirement, as technology leaders must make suitable investments to meet customer demands and cut costs while complying with regulations.
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