Skip to content

Artificial Intelligence and Deep Learning

Dissecting Mythbusters’ GPU vs CPU Video: What It Means for Real-Time Check Processing and Fraud Detection

December 10, 2020

Back in August, we explored the importance of Nvidia’s data centers to real-time check processing. The blog post garnered a huge amount of attention from our readers, yielding requests to take a deeper dive of the featured video from Mythbusters and the subject of GPUs vs CPUs.

Read More

Capital One Goes All In on the Cloud – Will Others Follow?

December 3, 2020

The Amazon Web Services website reports that Capital One is completing its migration as the first US Bank to go all-in on the cloud — and it’s making waves in the industry. “Capital One, one of the largest banks in the United States, announced in November 2020 that it had completed the migration from all eight of its on-premises data centers to Amazon Web Services (AWS), becoming the first US bank to report that it was all in on the cloud.

Read More

What We Learned at the ORBOIMPACT Healthcare Payments Sessions

November 19, 2020

As we noted in our Check & Fraud recap earlier this week, the ORBOIMPACT VIRTUAL CONFERENCE, our two-day online event — which covered Healthcare Payments on Thursday, October 29, and Banking & Payments on Friday, October 30 — was a huge success! Industry speakers coupled with OrboGraph experts focused on AI innovation and payment strategy helped drive strong attendance, while innovative polling encouraged attendee participation and interaction.

Read More

Recapping ORBOIMPACT and the Modernization of Check & Fraud

November 12, 2020

We’re pleased to announce that our ORBOIMPACT VIRTUAL CONFERENCE, a two-day online event which covered Healthcare Payments on Thursday, October 29, and Banking & Payments on Friday, October 30, was a huge success! Industry speakers coupled with OrboGraph experts focused on AI innovation and payment strategy helped drive strong attendance, while innovative polling encouraged attendee…

Read More

ORBOIMPACT Spotlight: AI-Enabled Electronification

October 15, 2020

Artificial Intelligence has made waves in a stunning variety of businesses, and Healthcare Revenue Cycle Management is certainly no exception. Over the past year, we have covered many different angles in our Modernizing RCM with AI and our OrboNation Healthcare Blog, including:

Read More

10 Principles for Modernizing Your Technology

October 14, 2020

Even as we see our industry create and adopt newer and better, more precise tools for improving check processing and preventing fraud (we proclaimed 2019, remember, the Year of AI and Modernization), it’s important to be aware of how to most effectively integrate new technology the current ecosystem in a manner that maximizes return on investment.

Read More

FDIC Survey Shows 20+% Bank Deposit Growth

September 30, 2020

Predicting an economic recovery in today’s COVID-19 environment is far more complex than reading traditional individual economic indicators. As seen by the recent run in the stock market, there are certain market components somewhat disassociated from traditional indicators, i.e. unemployment rate, GDP growth, etc.

Read More

ORBOIMPACT: Virtual Conference for RCM Electronification via AI

September 29, 2020

In a little over a month, OrboGraph will host the ORBOIMPACT Virtual Conference: AI Innovation for Check Payments, Check Fraud, and Healthcare Remittance Automation.

Read More

Get Ready for ORBOIMPACT: AI Innovation for the Future of Check Processing

September 28, 2020

In a little over a month, OrboGraph will be hosting it’s first virtual conference since 2014: ORBOIMPACT Virtual Conference: AI Innovation for Check Payments, Check Fraud, and Healthcare Remittance Automation.

Read More

NVIDIA Data Centers’ Importance to Real-Time Check Processing

August 26, 2020

By now, many of you have heard of the arguments between utilize GPU vs CPU. towardsdatascience.com provides a simple explanation on the reasoning behind the need for GPUs for machine learning:

GPUs are optimized for training artificial intelligence and deep learning models as they can process multiple computations simultaneously.

They have a large number of cores, which allows for better computation of multiple parallel processes. Additionally, computations in deep learning need to handle huge amounts of data — this makes a GPU’s memory bandwidth most suitable.

Read More