Domino Data Lab

AUGUST 6, 2021

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.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

JULY 31, 2023

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. Douglas Merrill, a partner at management consulting firm McKinsey & Co.,

Strategy 98

Strategy Risk Enterprise Risk Management 98

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 137

IT Risk Cost-Benefit Risk Management 137

IBM Big Data Hub

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. Otherwise, the risks become too significant. times higher ROI.

Enterprise 105

Enterprise ROI Risk Strategy 105

Smart Data Collective

OCTOBER 13, 2021

AI technology moves innovation forward by boosting tinkering and experimentation, accelerating the innovation process. Automating processes can be costly, but it’s a worthy long-term investment that helps businesses align their strategies for streamlined operations. As technology improves, the need for businesses to compete increases.

Technology 123

Technology Cost-Benefit Experimentation Machine Learning 123

CIO Business Intelligence

DECEMBER 29, 2023

Among the various strategies at our disposal, automation stands out as a pivotal solution,” she says. “In Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. CIOs will feel pressure to help develop strategies around it to stay ahead of competitors and enable their business.”

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139