Remove Business Objectives Remove Measurement Remove Modeling Remove Risk
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Automating Model Risk Compliance: Model Validation

DataRobot Blog

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

Risk 52
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What is GRC? The rising importance of governance, risk, and compliance

CIO Business Intelligence

The need to manage risk, adhere to regulations, and establish processes to govern those tasks has been part of running an organization as long as there have been businesses to run. Furthermore, the State of Risk & Compliance Report, from GRC software maker NAVEX, found that 20% described their programs as early stage.

Risk 110
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Whether your technology is new or old, lifecycle management is key

CIO Business Intelligence

Your risk of data breach increases as soon as your assets are no longer protected from cyberthreats. This creates risk for the company, shareholders, customers and their brand. Identify unapproved and blocked installations to improve compliance and mitigate risk. The same principle applies to infrastructure.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 290
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NaaS and the “Experience Economy”

CIO Business Intelligence

To address this requirement and ensure seamless connectivity, organizations are rapidly adopting consumption-driven NaaS models to balance the cost of their network growth with the digital experience of their stakeholders. Obtaining more insight into hidden costs (e.g.,

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Bringing an AI Product to Market

O'Reilly on Data

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 362
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AI search and RAG at Microsoft Build 2024 – what does this mean for businesses?

Jen Stirrup

In this blog post about Microsoft Build 2024, I will focus on AI Search and RAG modelling. Solving AI-angst with AI-generated content Have you ever used ChatGPT or a similar model, and it has come up with a response that is bizarre? Retrieval-augmented generation (RAG) AI models represent a significant advancement for businesses.