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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.

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What the Digital Operational Resilience Act means for you

CIO Business Intelligence

The regulation requires EU financial entities and their critical ICT providers to adopt comprehensive information and communications technology (ICT) risk management capabilities into their security processes. So, with no time to waste, where should they get started? Is your IT security infrastructure ready for future regulations?

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Understanding New Data-Driven Methodologies In Software Development

Smart Data Collective

Big data has turned the software industry on its head. The relationship between software development and big data is a two-way street. While many software developers are looking to create new applications that use big data, they are also using big data to streamline development. Big data helps compilers operate more efficiently.

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3 areas where gen AI improves productivity — until its limits are exceeded

CIO Business Intelligence

We did side-by-side testing,” he says. So based on early results, the three functional areas where companies see the biggest productivity improvements are in customer service, software development, and general creative and knowledge work. But it’s not just big software development projects where gen AI can help.

IT 128
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10 things to watch out for with open source gen AI

CIO Business Intelligence

Traditional open source software is just that — code. And bad actors can download these models for free and run them in their own environments in order to test potential hacks. They could infiltrate the development team on a poorly-governed project and add malicious code to the software itself. Gen AI, however, isn’t just code.

Modeling 135
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10 hottest IT jobs for salary growth in 2023

CIO Business Intelligence

Skills such as software engineering, architecture, cloud, and program management are highly sought after as more companies explore creating both internal and external applications and solutions. Relevant skills for DevOps Engineers include automation, software development, system administration skills, and cloud computing.

IT 140
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Creating value with generative AI in manufacturing

CIO Business Intelligence

Microsoft Copilot can bring to bear a range of capabilities to help manufacturers mitigate risk, manage their inventory, improve planning, and make informed decisions quickly across the entire supply chain. Copilot helps engineers generate code using natural language prompts, automates routine tasks, and improves design efficiency.