Products
Surprise! Barry McCarthy the CEO of Deluxe, is a proponent of checks as payment tools. Even with the pivot for consumers to digital payment options, business-to-business is still reliant upon an older payment method: checks. Yes, you read that right. Although check usage has decreased significantly since the mid-2000s, physical checks accounted for 42%of B2B transactions in 2019 despite the explosion of digital options.
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Without a doubt, Artificial Intelligence, Deep Learning, Machine Learning, and other technologies are streamlining the revenue cycle management and healthcare payments industries in many different ways. Roni Boker, OrboGraph product manager notes: “Market need still exists, and organizations are now having to move faster than ever with new work environments as a means to implement greater controls on their data and assist with compliance and resiliency.”
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We have receive a tremendous amount of positive feedback from our recent #OrboZone launch, with a countless number of clients, partners, and industry experts raving about their “experience.” But what is #OrboZone? It’s dynamic content that combines high-impact videos, visual galleries, energizing music, and entertaining activities for your WFH environment.
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Here’s a paradox we enjoy seeing: Even as it’s proclaimed all over the place that “checks are in decline,” and “checks are alien to Millennials” — we see a forward-looking, technologically innovative payroll infrastructure startup system launch and call itself — Check.
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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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Check writers and depositors have become accustomed to a next day or two day check clearing process for the majority of items. But when an extended clearing process does happen, i.e. 2-3 days, it becomes a real inconvenience, especially for millennials accustomed to instant digital payments, or for those folks who still get payroll checks. There are many other examples.
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Pymnts.com explores the various hurdles banks face when taking that big — and increasingly necessary — step. They note that migrating to the cloud is a vital tool traditional financial institutions (FIs’) will need in order to compete with digital-native FinTechs.
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To the layman, much of the language in the AI space can be mystifying, particularly in deep learning. Take for example one of the core elements; the node. A deep learning node is “a computational unit that has one or more weighted input connections, a transfer function that combines the inputs in some way, and an output connection. Nodes are then organized into layers to comprise a network.”
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Ensenta/EPS has put together an excellent report exploring NINE DRIVERS OF MOBILE DEPOSIT GROWTH (You can download a copy HERE). They come out of the gate by noting that large financial institutions continue to invest in increasingly better mobile deposit user experiences for two reasons: Improving return on investment (ROI) Growing their deposit base Given…
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