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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Some prominent banking institutions have gone the extra mile and introduced software to analyze every document while recording any crucial information that these documents may carry. Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations.

Big Data 143
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Emerging Trends: 4 IRM Market Insights to Aid COVID-19 Business Recovery

John Wheeler

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery.

Marketing 110
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Why you should care about debugging machine learning models

O'Reilly on Data

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8]. That’s where model debugging comes in.

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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

The best way to address this gap is to draft a simple vision statement written by product managers and delivery leaders in collaboration with stakeholders and agile teams. The writing process builds trust, and a documented vision builds a shared understanding of priorities. Agile teams aren’t done when they deploy the code.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137
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IBM’s watsonx.governance takes aim at AI auditing

CIO Business Intelligence

It focuses on three core areas of documentation: compliance, risk management, and model lifecycle management — processes IBM says are intertwined. watsonx.governance is a toolkit for governing generative AI and machine learning models.

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Rethinking enterprise architects’ roles for agile transformation

CIO Business Intelligence

Product managers must define a vision statement that aligns with strategic and end-user needs, propose prioritized roadmaps, and oversee an agile backlog for agile delivery teams. Product managers then propose digital KPIs and other metrics highlighting the business benefits delivered.