When Precision Hurts: The Hidden Risk in Digitizing Title Data
The difference between being precise and accurate defines success or failure of a digital transformation initiative in the Title industry.
Read MorePRESS RELEASE: Axis Technical Group Launches DoXScribe: AI-Powered Document Management and Analytics Platform for Real Estate and Title Professionals
Axis Technical Group launches DoXScribe, an AI-as-a-Service platform that automates document management, data extraction, and analytics.
Read MoreThe Challenge of Using Web Scraping at Scale
Web scraping at scale is very difficult. This has led companies to pursue new managed data extraction solutions that achieve superior results.
Read MoreExtracting Value from Intelligent Automation in the Title Insurance Industry
What will the title insurance industry be like in 10 years? Increasing investment in automated workflows will streamline business processes. Digital Transformation has swept the world. Companies investing today in adding intelligence to process automation will become the leaders of tomorrow.
Read MoreHow to Improve Data Extraction Performance
Organizations looking to maximize the value of their data must first master their data extraction performance.
Read MoreHow to Evaluate Data Extraction Software
Use this guide to help evaluate data extraction and document classification software solutions.
Read MorePRESS RELEASE: 43M Document Processing Achievement in Record Time
Axis Technical Group Leverages AI @ Scale to Process 43M Documents in Record Time
Read MoreCASE STUDY: Loan Document Processing
CLIENT GOAL This Case Study: Loan Document Processing discusses a leading national auto lender’s goal […]
Read MoreTitle Search and Title Report Companies Benefit From Software Automation
The Title Insurance industry can benefit by implementing software automation to avoid manual data entry.
Read MoreCASE STUDY: Leading Financial Services Firm Implements Axis AI Engine For 54% Boost in Loan Processing Performance
This case study shares how Axis Technical Group completed Phase 1 of an Automated Loan Classification, Separation, and Data Extraction Project for a leading financial services organization.
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