Technology
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.
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The “death knell” for checks has been sending false alarms for a decade; year after year we are told it’s time for checks to fade away, and 2020 is no different. However, the paper check hangs on and remains undeniably popular in spite of the frequency with which it is derided.
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It’s a safe bet to say that making a … safe bet during an unprecedented pandemic is not the easiest thing in the world. All the same, Becker’s Health IT got 20 healthcare executives and leaders to commit to posterity one health IT industry prediction for the next five years, and the answers are interesting,…
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In a little over a month, OrboGraph will host the ORBOIMPACT Virtual Conference: AI Innovation for Check Payments, Check Fraud, and Healthcare Remittance Automation.
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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.
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Revenue Cycle of the Future…something we have heard on several occasions. But what does it actually look like? In a recent article, HealthLeaders highlights a roundtable discussion sponsored by our friends at Waystar, bringing together a group of leaders in revenue cycle management to gather their thoughts on what they believe is important for the revenue cycle of the future.
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Rachel Woolley, global director of Financial Crime at Fenergo, tells FinTech Futures that penalties against financial institutions have come “fast and furious” over the past few years.
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Alpha Health recently released results of a national survey designed to examine and assess the impact of COVID-19 on revenue cycle operations at health systems and hospitals across the U.S. The survey was fielded between May 19, 2020 and June 22, 2020 among 587 chief financial officers and revenue cycle leaders at hospitals and health systems across the United States. The survey has a confidence level of 95 percent with a margin of error of plus or minus 5 percent.
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In a summary of Mercator Advisory Group’s new Insight Summary Report, 2020 Small Business PaymentsInsights, COVID-19 and B2B Payments & Cards – The Result of the Pandemic, PaymentsJournal.com summarizes their findings.
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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.
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