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From Spreadsheet Chaos to Data Strategy Triumph with Perficient

Perficient

Relying on complex spreadsheets for portfolio analysis, the firm faced operational hurdles due to immense computing demands. Recognizing the need for a comprehensive operational overhaul, we proposed a transformative journey from spreadsheet reliance to a robust data strategy initiative. Let us navigate your journey to success.

Strategy 440
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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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Why JPMorgan’s chief data and analytics officer sits on operating committee

BankInovation

JPMorgan Chase’s chief data and analytics officer sits within its operating committee to keep up with ongoing AI investment and implementation bankwide. Appointed in June 2023, Chief Data and Analytics Officer Teresa Heitsenrether serves on the $3.7

Analytics 125
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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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5 Things a Data Scientist Can Do to Stay Current

Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Collecting and accessing data from outside sources.

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Deposit Profitability – The Operating Cost of Your Deposits

South State Correspondent

A couple of weeks ago, we delved into the origination and operating costs of manufacturing commercial loans ( HERE ). We will use their data and methods for this analysis. We put all three of the above cost categories together, and we get the below total direct operating cost per year per account of each deposit product.

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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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Marketing Ops: The New Revenue Hero

As data continues to play a starring role in today’s B2B organizations, both marketing and sales operations professionals are poised to solidify their place as critical revenue drivers.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.

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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. However, for most organizations embarking on this transformational journey, the results remain to be seen.

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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. 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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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. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.

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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.

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How Intent Data Helps Marketers Convert A-List Accounts

We’ll walk you through how intent data can elevate your marketing operation, including how it helps you: Easily prioritize accounts Craft engaging content that converts Retain and upsell customers