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Investment accounting compliance: How technology helps

Abrigo

Meeting investment accounting and reporting requirements The right technology tools can help institutions manage investment accounting compliance and risk exposure across various investment types. Accurate and streamlined investment accounting supports overall risk management, particularly in areas like credit, market, and liquidity risk.

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Introducing Intelligent Data, a podcast from Perficient

Perficient

The COVID-19 pandemic has done a great job revealing trouble spots and gaps in many companies’ technology strategies this year. If you’ve discovered that your data strategy and technology solutions need improvement, then this podcast is for you. What to Expect in Season 1 of Intelligent Data. Subscribe now!

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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.

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7 Steps to Define a Data Governance Structure for a Mid-Sized Bank (Without Losing Your Mind)

Perficient

A mid-sized bank I was consulting with for their data warehouse modernization project finally realized that data isn’t just some necessary but boring stuff the IT department hoards in their digital cave. Welcome to the wild world of data governance, where dreams of order collide with the chaos of reality. Be ruthless.

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Data Science Fails: Building AI You Can Trust

Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology. Organizations must feel confident that human error did not inadvertently contribute to AI bias that resulted in inaccurate or misleading findings.

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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.

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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.

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Why B2B Contact and Account Data Management Is Critical to Your ROI

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. The digital age has brought about increased investment in data quality solutions. However, investing in new technology isn’t always easy, and commonly, it’s difficult to show the ROI of data quality efforts.

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How to Stay Competitive in the Evolving State of Martech

Marketing technology is essential for B2B marketers to stay competitive in a rapidly changing digital landscape — and with 53% of marketers experiencing legacy technology issues and limitations, they’re researching innovations to expand and refine their technology stacks.

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The Executive Guide to Generative AI

Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? As a leader, it's going to be tempting for your team to want to tinker with the technology, but it’s important to focus your team on the value.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams. The Forrester Wave™ evaluates Leaders, Strong Performers, Contenders, and Challengers.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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Reaching Unreachable Candidates

Speaker: Patrick Dempsey and Andrew Erpelding of ZoomInfo

Find and connect with the right talent to fill roles fast with these tools: More data! Advanced search: Narrow the search to find candidates using specialized filters like education, and current company technologies. We have added 10's of millions of personal emails and mobile records.

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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. The risk of bias in artificial intelligence (AI) has been the source of much concern and debate.

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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? Why do AI-driven organizations need it?