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From Spreadsheet Chaos to Data Strategy Triumph with Perficient

Perficient

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.

Strategy 440
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Driving the Future of Wealth Management

Perficient

Wealth management is evolving rapidly, driven by generational shifts, changing advisor roles, new business models, regulatory demands, and a growing preference for low-cost passive products. Next, we migrated data to a new AWS-hosted client reference database powered by Apache Glue and DynamoDB.

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How ServiceNow Financial Services Operations (FSO) is Revolutionizing the Financial Industry

Perficient

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.

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Customer Data Management Challenges in Financial Services

Perficient

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.

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The Business Value of MLOps

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.

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The Digitization of Supply Chain Management

Perficient

enables companies, governments, and public sector agencies to use innovative digital technologies, smart automation, and advanced analytics to transform operating processes. is powered by pervasive connectivity, cloud computing, and enriched data. Industry 4.0 The path to Industry 4.0 Industry 4.0 Industry 4.0 capabilities.

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Data Governance in Banking and Financial Services – Importance, Tools and the Future.

Perficient

Lets talk about data governance in banking and financial services, one area I have loved working in and in various areas of it … where data isn’t just data, numbers aren’t just numbers … They’re sacred artifacts that need to be protected, documented, and, of course, regulated within an inch of their lives.

Tools 221
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MLOps 101: The Foundation for Your AI Strategy

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?

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Build Trustworthy AI With MLOps

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.

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Successful Change Management with Enterprise Risk Management

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.

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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

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.