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Weighing risk and reward with gen AI vendor selection

CIO Business Intelligence

The risk of going out of business is just one of many disaster scenarios that early adopters have to grapple with. And it’s not just start-ups that can expose an enterprise to AI-related third-party risk. Model training Vendors training their models on customer data isn’t the only training-related risk of generative AI.

Risk 120
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Automating Model Risk Compliance: Model Monitoring

DataRobot Blog

If the assumptions are being breached due to fundamental changes in the process being modeled, the deployed system is not likely to serve its intended purpose, thereby creating further model risk that the institution must manage. These observations would have spanned a distribution, which the model leveraged to make its forecasts.

Risk 59
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Data protection strategy: Key components and best practices

IBM Big Data Hub

A data protection strategy is a set of measures and processes to safeguard an organization’s sensitive information from data loss and corruption. It can also help them reduce vulnerabilities and ensure data is efficiently managed, compliant with regulations, and not at risk of misuse or loss. What is a data protection strategy?

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What to Do When AI Fails

O'Reilly on Data

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. AI incidents, in other words, don’t require an external attacker.

Risk 357
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Mastering Day 2 Operations with Cloudera

Cloudera

Day 0 — Design and Preparation: Focuses on designing and preparing for your installation, including gathering requirements, planning architecture, allocating resources, setting up network and security, and documentation creation. Security considerations: define security policies and implement necessary measures to protect data and resources.

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Cloud Advances Make Record Keeping Compliance Easier Than Ever

Smart Data Collective

Some of them are: Business formation documents Employment records Business asset records Tax returns and supporting documents Sales receipts Ledgers and registers Leases or mortgage documents Shareholder meeting minutes Bank and credit card statements Licenses and permits Insurance policies and records Loan documents.

Insurance 107
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AI governance is rapidly evolving — Here’s how government agencies must prepare

IBM Big Data Hub

Compliance with official policies through auditing tools and other measures is merely the final step. In An Overview of Catastrophic AI Risks , the authors identify several mitigations that can be addressed through governance and regulation (in addition to cybersecurity). ” Academic and scientific perspectives are also essential.

Risk 76