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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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Auditing With Spring Data JPA

Perficient

Auditing with Hibernate Envers is a small thing to implement but is the easiest way to audit persistent data in a Spring Boot application. However, Envers is opinionated and may not meet data auditing requirements for your organization, such as audit table schema design or content. AuditBase provides common audit data.

Data 476
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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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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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Have Governed Data Available Across Applications with Minimal Effort

Perficient

You have an application you use daily for operations, but when it comes down to clicking that submit button, you need that extra piece of information to make your decision. What if that data came to you, was governed, and secured? You’re on your phone in a meeting and someone brings up a specific operational unit?

Data 461
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Building Modular Pipelines in Azure Data Factory using JSON data

Perficient

Azure Data Factory (ADF) pipelines are powerful and can be complex. Utilized Functions and JSON data to pass messages. It’s logic, rules and operations will be a “black box” to users of the pipeline, requiring only knowledge of “what” is does rather than “how” it does. Unit of Work.

Data 412
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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