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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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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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Data warehousing: Considerations, drawbacks, and data platform alternatives

Abrigo

A unified data platform helps banks organize without the headaches Abrigo Connect offers an alternative to data warehousing that lets financial institutions more easily put their data to use. Takeaway 2 Some form of data organization is a must, so financial institutions may consider alternatives like a data platform.

Data 195
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How Managed Services Can Take You to the Cloud

Perficient

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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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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Data Is the Foundation…for Everything in Insurance (Part 4 of 5)

Perficient

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.

Data 508
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Operation BLACKHAT

Perficient

Operation BLACKHAT. He has hired other gang members for this operation. Operation BLACKHAT: After an hour, the Blackhat went to the location to collect the ransom. The operation was foiled by the rival gang. It was revealed that the operation was funded by the Bluehat who thus was the ex-business partner of Mr.Sanjay.

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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.