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Risk Management for AI Chatbots

O'Reilly on Data

Welcome to your company’s new AI risk management nightmare. Before you give up on your dreams of releasing an AI chatbot, remember: no risk, no reward. The core idea of risk management is that you don’t win by saying “no” to everything. So, what do you do? That code was too trusting, though.

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4 steps to improving your ESG risk management to increase financial performance

IBM Big Data Hub

Environmental, Social, and Governance (ESG) risk management has emerged as a critical aspect of business strategy for companies worldwide. Focusing on ESG Risk Management can help your organization become more profitable, and your organization can start on this journey today.

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How A Data Catalog Enhances Data Risk Management

Alation

But data leaders must work quickly, and use the right tools, to understand, manage, and protect data while complying with related regulations and standards. The Increasing Focus On Data Risk Management. The Australian Prudential Regulation Authority (APRA) released nonbinding standards covering data risk management.

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Cloud-Based Supply Chain Risk Management Is Key To A Company’s Future

Smart Data Collective

It’s difficult to mitigate supply chain risk in the best of times. Cloud-based supply chain risk management simplifies the process and should be at the top of any vendor’s “best practices” list within their organization. Here’s what you need to know about the uses and benefits of supply chain risk management.

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The Power of Storytelling in Risk Management

Speaker: Dr. Karen Hardy, CEO and Chief Risk Officer of Strategic Leadership Advisors LLC

Communication is a core component of a resilient organization's risk management framework. However, risk communication involves more than just reporting information and populating dashboards, and we may be limiting our skillset. Storytelling is the ability to express ideas and convey messages to others, including stakeholders.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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Cyber Risk, Digital Risk and The Digitalization of Risk Management

John Wheeler

However, for security and risk management professionals it can make a huge difference. Take for example the terms cyber risk, digital risk and the digitalization of risk management. Viewed together, the three terms represent key aspects of integrated risk management (IRM).

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Successful Change Management with Enterprise Risk Management

Speaker: William Hord, Vice President of ERM Services

It is the tangents of this data that are vital to a successful change management process. When an organization uses this information aggregately and combines it into a well-defined change management process, your ability to proactively manage change increases your overall effectiveness.