OrboNation Blog
The trading platform Blocktrade recently published their predictions for the coming year in the fintech and payment worlds. “We all know that 2020 was a highly unusual year – the Covid pandemic not only impacted the global economy, it also accelerated ongoing changes and developments in the Fintech and Payment industry.”
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We have seen the banking and payments industries recover from the challenges of the COVID-19 Pandemic with a resurgence of checks and sustained volumes of other payments. With this recovery, banks and financial institutions can now refocus on automation and fraud prevention projects which have been delayed while the economy recovers.
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We have seen the banking and payments industries recover from the challenges of the COVID-19 Pandemic with a resurgence of checks and sustained volumes of other payments. With this recovery, banks and financial institutions can now refocus on automation and fraud prevention projects which have been delayed while the economy recovers.
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To say 2020 will long be remembered as a challenging year for the healthcare industry is almost comical in its understatement. The strain put on all levels of the system, from front-line care all the way through collection and revenue cycle, has been incredible. Then comes this news out of Virginia via Healthcare Finance News: Newport News, Virginia-based Riverside Health System is coming out of 2020 able to say that it had one of its most improved collection, performance and revenue cycle years to date.
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While Bitcoin cryptocurrency has been for many years held at arms length by mainstream consumers — it’s been considered volatile because of how much and how quickly its value can change, and the 2018 Bitcoin crash is still fresh in the mind of the industry — there are signs that it is gaining more widespread acceptance.
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Last week, we took a deep dive into a video by Mythbusters on CPU vs GPU, detailing how GPU provides a higher rate of speed and accuracy than CPU, essential for check processing and fraud detection. But, why are GPU processors necessary for artificial intelligence and machine learning?
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The COVID-19 pandemic has altered the ways healthcare organizations — in particular healthcare RCM — operate, as many businesses shut down office locations and move to remote environments to ensure employee safety and to slow the spread of the virus. While this has altered the way RCM operates from a physical location standpoint, the pandemic has also had an interesting effect when it comes to technology.
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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.
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With healthcare organizations seeing lower volumes of patients for routine and elective procedures, the industry is having to withstand massive losses. While healthcare revenue for each organization depends on many factors, the American Hospital Association (AHA) reports that hospital operating margins are still down 28% year-to-date compared to 2019.
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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.
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