Perficient
FEBRUARY 16, 2023
What is ServiceNow Financial Services Operations (FSO): Financial Services Operations (FSO) is an out-of-box offering by ServiceNow utilizing its existing platform custom-tailored to the use cases for Financial Institutions providing a comprehensive solution for managing operations end-to-end.
Payments Dive
MAY 30, 2023
The modern card-issuing company is closing its outpost in Australia as part of its cost-cutting campaign.
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PYMNTS
APRIL 10, 2020
Intimidated by the scale and cost of a massive technological overhaul, large financial institutions (FIs) may approach their digital transformation (DX) journeys gradually, targeting various areas of operations to modernize one-by-one. “Banks are technology companies,” Rio Tinto recently told PYMNTS.
Payments Dive
MARCH 25, 2022
What you need to know and consider as you set up payment operations for your business.
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Our case study reveals how this rapidly growing wholesale mortgage company partnered with GoDocs to automate commercial loan document preparation, scale operations nationwide, and slash legal fees by over $300,000 per month. Discover how automation helped grow loan volume by 10x—all without hiring additional staff.
Perficient
AUGUST 28, 2020
Utility companies have had a hard summer in 2020! The Perficient Energy team is here to work with Utility companies on next steps. Blackouts and brownouts caused by fires in the West, and Storms on the East Coast and in the Gulf have filled the news. discover and communicate variances.
Perficient
AUGUST 5, 2021
In my last post, I discussed how insurance companies that demonstrate empathetic knowledge of their consumers and deliver tailored, real-time solutions will build on their noble purpose and gain competitive advantages in a digital operating environment. It starts with putting your customer in the middle of your operating model.
Advertiser: Data Robot
In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.
Advertiser: Data Robot
And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Sharing data with trusted partners and suppliers to ensure top value.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Machine learning operations (MLOps) is the technical response to that issue, helping companies to manage, monitor, deploy, and govern their models from a central hub.
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