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Check out our reservoir of information related to check recognition and healthcare payment technologies. We frequently update this section with the latest news, trends, and analysis of the banking and healthcare industries.

2019 Tech Conference

May 20-21, 2019
Charlotte Marriott City Center

Industry Videos

News and trends for the banking and healthcare industries

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OrboGraph’s thought leadership and original research

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View the highlights from past OrboGraph Tech Conferences

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Compilation of resources to help you navigate Reg CC

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Platform Modernization

Both the financial and healthcare industries are undergoing modernization initiatives in check payments and remittance.  See how OrboGraph is using AI, self-learning and deep learning models to drive innovation in these industries to deliver workflow automation.

Platform Modernization

Modernizing payments in the banking and healthcare industries

AI, Self Learning & Deep Learning Technologies

Optimized AI and deep learning models for the automation of check processing and healthcare posting

Operationalizing AI & Self Learning in Checks

Revolutionizing check processing and fraud prevention for the banking industry

Delivering Healthcare Payment Electronification

Increased accuracy levels, decreased error rate for healthcare payments posting

Product Videos

See how each product/service module of OrboAnywhere and OrboAccess delivers value from our check and healthcare payment platforms

Corporate Video & Podcast

See and hear how OrboGraph incorporates AI, deep learning and self learning technologies into its product suite

Healthcare Payments

OrboAccess automates remittance and payment posting as well as enables full research and business intelligence analysis for RCM companies, clearinghouses, billers, and providers.

Access EOB Conversion

Delivers EOB/EOP electronification with information intelligence via AI and deep learning technologies

Access Correspondence Letters

Extracts posting data and tracks reimbursement progress via workflow management

Access Payment Reconciliation

Streamlines the reconciliation process of ERA, ACH, EOB and checks

Access Patient Payments

Automates patient payments for posting

Access Denial Intelligence

Spotlights trends in denials to reduce receivables via prevention

Healthcare Payments Automation Center

Scalable, reliable, flexible cloud-based hosted data center on Amazon Web Services (AWS)

Modernizing RCM with AI

An informative resource to assist RCM companies in understanding how to solve today's problems with the help of AI.

Check Processing

OrboAnywhere automates paper originated payments (i.e. checks, money orders, drafts) and remittances for balancing and posting while reducing risk and losses in the areas of check fraud, payment negotiability and compliance.

Anywhere Fraud

Transaction and image analysis for on-us and deposit fraud detection of counterfeits, forgeries, and alterations.

Anywhere Recognition

Divergent multi-engine CAR/LAR, ICR, OCR & AI check recognition for the Omnichannel

Anywhere Validate

Validate payment negotiability of paper originated items

Anywhere Payee

Match, read, and validate payees for risk and operational workflows

Anywhere Positive Pay

Payee name verification of business checks using issue files

Anywhere Compliance

Mitigate risk in check payments for OFAC, BSA/AML, UCC, Reg CC, and KYC

Restrictive Endorsement

Automatic validation of restrictive, mobile and non-restrictive endorsements

Traditional Products

Based on the Accura XV platform

Modernizing Omnichannel Check Fraud Detection

An informative blog series exploring payments fraud and image technologies used to fight financial crimes.

For all the talk of Artificial Intelligence capabilities and their value to organizations and industries of all sorts, it should be noted that, according to the 2019 MIT SMR-BCG Artificial Intelligence Global Executive Study and Research Report, nine out of ten companies have made some investment in AI, but 70 percent said they have seen minimal or no impact from AI thus far. (This is certainly not the case in the banking and healthcare industries.)

However, those who ignore its capabilities may fall behind in short order.

Looking ahead to 2020, CIOs will need to better assess the value of their AI bets and prove that ROI to the business — so says Kara Longo Korte, director of product management at TetraVX, a company specializing in the design, implementation, management, and support of communication and collaboration technologies.

Additionally, tech company Forrester has a similar view: “We believe 2020 will be the year when companies become laser-focused on AI value, leap out of experimentation mode, and ground themselves in reality to accelerate adoption,” Forrester analysts write.

Identifying the AI Trends in 2020

At The Enterprisers Project, they identified the 10 AI Trends to Watch in 2020, a crucial year for the AI revolution. Here are a few we found most significant – see if you agree:

report screen on computer

Operationalization will be the name of the game: AI has the potential to become the new operating system for the enterprise. “Over the last decade, organizations have been picking up AI know-how and started working with the technology, but successfully putting models into production has remained a challenge,” says Jean-François Gagné, CEO and co-founder of software provider Element AI. “This year will be a tipping point for the infrastructure needed to support effective deployments, providing integrated learning environments and data ecosystems that support adaptive decision making by AI.”

Automation could go into overdrive: Add a new word to your vocabulary for 2020: Hyperautomation, meaning the application of advanced technologies like AI and ML to automate processes and augment humans across a range of tools and at a higher level of sophistication. Gartner named hyperautomation one of its top ten strategic technology trends in 2020.

The goal, says Gartner, is more AI-driven decision-making, with many organizations creating a digital twin of themselves, which enables them to “visualize how functions, processes, and key performance indicators interact to drive value.”

AI will come for B2B: B2B sales and services’ complexity stands to benefit more from AI than the consumer corollaries. “Machine and deep learning are making it possible for users of complex B2B services to define and match complex requirements to ideal trading partners through an intuitive, needs-identification process and a vast understanding of potential trading partner strengths and capabilities,” says Keith Hausmann, chief revenue officer at Globality. “User experience continues to improve as AI becomes better informed about individual preferences and company requirements with every interaction, especially intangible areas like organizational culture and values.”

It is time for companies to move from embracing the potential to deploying, operationalizing and optimizing AI and Machine Learning technologies to streamline processes and create efficiencies to maximize the benefits.


This blog contains forward-looking statements. For more information, click here.

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