article thumbnail

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
article thumbnail

CRA compliance: A data-driven strategy

Abrigo

How data analytics can simplify CRA compliance Complying with enhanced CRA data requirements Most banks recognize that their enterprises can only thrive if their customers do , too. This means more data must be collected and reviewed than under the previous requirements.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Transaction monitoring: Data quality in banking makes the difference

Abrigo

Transaction monitoring ensures more than just compliance Without reliable client and transactional data coming into your monitoring system, either manually or automatically, you could miss crucial suspicious activity. Connect with an expert Defining data integrity: More than quality control Data integrity goes beyond simply having good data.

Data 195
article thumbnail

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
article thumbnail

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.

article thumbnail

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.

article thumbnail

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
article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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