Data Management Operations 
Perficient
APRIL 24, 2024
Uncovering the Challenge: Relying on Spreadsheets for Portfolio Analysis A leading wealth and asset management firm recently sought our financial services expertise for a critical challenge. Relying on complex spreadsheets for portfolio analysis, the firm faced operational hurdles due to immense computing demands.
Perficient
FEBRUARY 10, 2021
The issue is you don’t have the in-house cloud capabilities to do that or manage the infrastructure once you do. This is where managed services come into play. What Are Managed Services? We just said you need managed services – what are they? The Benefits of Managed Services. How We Can Help You.
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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.
Perficient
AUGUST 23, 2021
Data fuels the engine of the digital economy. Connected experiences, in the context of the customer relationship, are driven by a robust data set that confidently presents integrated, diverse data to enable actionable insights that can be automated across the customer’s journey. by the middle of the 2020s.
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.
Perficient
NOVEMBER 30, 2020
Today, I will dive into the customer data management challenges financial companies might encounter when starting their personalization journey. Data management in any financial services firm is complex. It’s a data-intensive business. To add to this complexity, much of the data is unstructured.
Perficient
JANUARY 28, 2021
Perficient places a high value on data security and has several processes and tools in place to protect colleague and client information, but what about the everyday person? These six areas of data privacy and security below should be at the top of your list to secure and protect yourself and your family. (We Let’s get started!
Advertiser: Data Robot
Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. Download this comprehensive guide to learn: What is MLOps?
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. Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance.
Speaker: William Hord, Vice President of ERM Services
A well-defined change management process is critical to minimizing the impact that change has on your organization. Leveraging the data that your ERM program already contains is an effective way to help create and manage the overall change management process within your organization. Determine impact tangents.
Advertiser: Data Robot
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities. Brought to you by Data Robot. Identifying good use cases.
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