Experimentation Modeling Risk Management Software 
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.
CIO Business Intelligence
NOVEMBER 21, 2023
After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.
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IBM Big Data Hub
MARCH 4, 2024
In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness. Consider the following: Do you need a public foundation model? times higher ROI.
IBM Big Data Hub
DECEMBER 15, 2023
When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.
IBM Big Data Hub
OCTOBER 4, 2022
It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Challenges around managing risk.
IBM Big Data Hub
MAY 9, 2023
It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. Success in delivering scalable enterprise AI necessitates the use of tools and processes that are specifically made for building, deploying, monitoring and retraining AI models.
CIO Business Intelligence
DECEMBER 29, 2023
Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. And Wayson Vannatta, CIO at Nintex, a provider of process management and automation software, will do exactly that. These priorities must fundamentally tie back to the business’ priorities and goals,” she says.
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