article thumbnail

Download the AI Risk Management Enterprise Spotlight

CIO Business Intelligence

In this issue, we explore the risks to both IT and the business from the use of AI. The goal of your risk management efforts should be to gain the most value from AI as a result.

article thumbnail

Download our CIO Pulse AI priorities survey

CIO Business Intelligence

But for CIO priorities, AI falls behind many other areas, including security, risk management, and digital transformation. Industry analysts predict huge growth in investment in AI, and 80% of CIOs surveyed say it is critical to their operation.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How A Data Catalog Enhances Data Risk Management

Alation

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. Download the complete white paper now. The Increasing Focus On Data Risk Management.

article thumbnail

Minding Your Models

DataRobot Blog

At many organizations, the current framework focuses on the validation and testing of new models, but risk managers and regulators are coming to realize that what happens after model deployment is at least as important. Now is the time to address the gaps in your organization’s model management by adopting a robust new system.

Modeling 105
article thumbnail

5 top business use cases for AI agents

CIO Business Intelligence

The best use case that seems to work well is in repository management, where itll go through and do bug fixes of code repositories. The AI agent will download it, try to build it, and if it doesnt run, itll fix the build scripts and code if necessary, check the code back into the repository, and flag it was done by an AI agent, he says.

Software 143
article thumbnail

What is Model Risk and Why Does it Matter?

DataRobot Blog

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. However, after the financial crisis, financial regulators around the world stepped up to the challenge of reigning in model risk across the financial industry.

Risk 111
article thumbnail

10 things to watch out for with open source gen AI

CIO Business Intelligence

Companies can download the code, but then they need in-house expertise or hired consultants to make everything work. It takes expertise to download the open source version,” he says. And bad actors can download these models for free and run them in their own environments in order to test potential hacks.

Modeling 137