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You can make a difference and shape the future of Risk Management!

Risk Guide

Volumes have been written on the cause of the crisis the world is in, surveys have been done and many fingers are pointing in every direction—a couple of these are pointing straight at us, the Risk Professionals. It is time to renovate risk management. The basic Risk Management process cycle is one of those.

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Why organizations need to adopt an Integrated Third-Party Governance and Risk Management approach?

SIG Speaks

SIG University Certified Third-Party Risk Management Professional (C3PRMP) program graduate Jai Chinnakonda shares why every organization should adopt integrated third-party risk governance and management into their team structure. A report from Deloitte titled 'Third-party governance and risk management.

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AI-Powered Statutory Compliance Solution Revolutionizing the Relationship Between Government and Business

Paysquare

Introduction of AI-Powered Statutory Compliance Solution Integrating Artificial Intelligence with compliance procedures in a business has revolutionized the way that businesses and government operate – it makes them both effective and efficient. Through AI-powered systems, regulatory adherence becomes more efficient and effective.

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How to stay on the right side of the latest SEC cybersecurity disclosure rules for a data breach

IBM Services

In July 2023, the Securities and Exchange Commission (SEC) voted to adopt new cybersecurity rules and requirements for all market entities to address risks. Among the passed regulations were updated requirements for Form 8-K reporting as well as new guidance for Form 10-K Amendments. million, representing a 15.3% increase from 2020.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Services

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. “Foundation models make deploying AI significantly more scalable, affordable and efficient.”

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Generative AI use cases for the enterprise

IBM Services

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Experienced developers are leaning on generative AI to advance complex coding tasks more efficiently. Automate tedious, repetitive tasks.

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How Outsourcing Can Improve Turnaround Time for Mortgage Processing

Offshore India Data Entry

Mortgage processing experts help lenders scale up more quickly through efficient workflow handoffs and maximum mortgage processing. Training and hiring Mortgage entry deals with loan documentation, regulation checks, and lots of confidential information. They implement robust control measures throughout the whole process.