Remove Document Remove Risk Management Remove Testing
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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. Why not take the extra time to test for problems?

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5 top business use cases for AI agents

CIO Business Intelligence

Meanwhile, in December, OpenAIs new O3 model, an agentic model not yet available to the public, scored 72% on the same test. Mitre has also tested dozens of commercial AI models in a secure Mitre-managed cloud environment with AWS Bedrock. That adds up to millions of documents a month that need to be processed.

Software 143
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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk.

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From project to product: Architecting the future of enterprise technology

CIO Business Intelligence

Documentation and diagrams transform abstract discussions into something tangible. By articulating fitness functions automated tests tied to specific quality attributes like reliability, security or performance teams can visualize and measure system qualities that align with business goals.

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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]. Sensitivity analysis.

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How Birmingham’s $48M Oracle ERP project turned into an epic failure

CIO Business Intelligence

Integration with Oracles systems proved more complex than expected, leading to prolonged testing and spiraling costs, the report stated. When this review finally occurred and identified key issues, its findings were ignored, highlighting a systemic failure in the councils risk management approach, the report added.

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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. 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.

Big Data 145