Remove resources model-monitoring-best-practices
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IBM’s watsonx.governance takes aim at AI auditing

CIO Business Intelligence

IBM is betting big on its toolkit for monitoring generative AI and machine learning models, dubbed watsonx.governance , to take on rivals and position the offering as a top AI governance product, according to a senior executive at IBM. watsonx.governance is a toolkit for governing generative AI and machine learning models.

Risk 66
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10 essential tips for bolstering cloud security in your business

CIO Business Intelligence

Fortunately, there are some security best practices and tips businesses can use to reduce their digital attack surface significantly. Employee Training : Educate employees on cybersecurity best practices to prevent human error from compromising the network’s security.

Risk 132
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The journey to a mature asset management system

IBM Big Data Hub

Asset performance management (APM) processes, such as risk-based and predictive maintenance and asset investment planning (AIP), enable health monitoring technologies. This approach provides actual real data points for ESG reporting instead of model-based assumptions, which helps reduce carbon footprint and achieve sustainability goals.

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DIY cloud cost management: The strategic case for building your own tools

CIO Business Intelligence

He and his teams tried a few off-the-shelf tools but were never satisfied with the support for linking a cloud resource to a line of business to determine ownership. Amazon, Microsoft, and Google all provide native tools for monitoring your cloud usage and spend within their respective cloud platforms. Assign a product owner.

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Red Hat seeks to shrink IT skills gap with Lightspeed gen AI

CIO Business Intelligence

Red Hat Ansible Lightspeed integrated the IBM watsonx Code Assistant, a gen AI service designed to support platform engineers and developers by accepting natural language prompts from which it produces code recommendations built on Ansible best practices. Administrative dashboard.

IT 122
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What to Do When AI Fails

O'Reilly on Data

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. All predictive models are wrong at times?—just Quite the contrary.

Risk 359
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My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

One of the first major attractions for me to attend this event is found in the primary descriptor of the Splunk Platform — it is appropriately called the Splunk Observability Cloud, which includes an impressive suite of Observability and Monitoring products and services. Reference ) Splunk Enterprise 9.0 is here, now!