Remove Risk Remove Risk Management Remove Technology Remove Testing
article thumbnail

CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

Amid the turbulence of AI, technologies are emerging rapidly, startups are clamoring for attention, and hyperscalers are scrambling to corral market share. Brian Hopkins, vice president for emerging technology at Forrester Research, agrees. There are a lot of risks and a lot of land mines to navigate,” says the analyst.

Risk 131
article thumbnail

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.

Insiders

Sign Up for our Newsletter

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

article thumbnail

4 ways to ask hard questions about emerging tech risks

CIO Business Intelligence

As CIOs and technology leaders, we’re almost always in the role of the technology evangelist, bringing both mainstream and emerging technology into the organization for business benefit. Technology has always been used for positive and negative effect. If reversible, then there’s clearly less risk.

Risk 96
article thumbnail

What the Digital Operational Resilience Act means for you

CIO Business Intelligence

Every business in some form or another is looking to adopt and integrate emerging technologies—whether that’s artificial intelligence, hybrid cloud architectures, or advanced data analytics—to help achieve a competitive edge and reach key operational goals. So, with no time to waste, where should they get started?

article thumbnail

Cloudera wins Risk Markets Technology Award for Data Management Product of the year

Cloudera

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform. End-to-end Data Lifecycle.

Risk 86
article thumbnail

What is Model Risk and Why Does it Matter?

DataRobot Blog

This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. 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.

Risk 111
article thumbnail

PODCAST: Making AI Real – Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower

bridgei2i

Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.