Remove resources model-monitoring-best-practices
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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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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 131
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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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The complex patchwork of US AI regulation has already arrived

CIO Business Intelligence

Senate Bill 1047 , introduced in the California State Legislature in February, would require safety testing of AI products before they’re released, and would require AI developers to prevent others from creating derivative models of their products that are used to cause critical harms.

Risk 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!

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Bringing an AI Product to Market

O'Reilly on Data

Though these concepts may be simple to understand, they aren’t as easy in practice. It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Ongoing monitoring of critical metrics is yet another form of experimentation. Agreeing on metrics.

Marketing 362