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Trust is an essential part of doing business. Whether it is the reliability of the supply chain, the accuracy of financial predictions, or the assurance of product availability, trust from customers, vendors, and suppliers is non-negotiable. For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions.
This eBook looks at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale and covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance.
It also looks closely at other areas related to trust, including:
- AI performance, including accuracy, speed, and stability
- AI operations, including compliance, security, and governance
- AI ethics, including privacy, bias and fairness, and explainability
- How MLOps helps bridge the production gap between systems and teams
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Third time lucky? Microsoft finally begins roll-out of controversial Recall featureNews The Windows Recall feature has been plagued by setbacks and backlash from security professionals
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Google CEO says more than 25% of the company's code is now AI-generated – is this the future of software development?News Google’s AI-generated code focus is a sign of the times in software development
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Reinventing procurementWhitepaper From cost center to innovation driver
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Supercharge code generation with IBM watsonx Code AssistantWebinar Enabling developers of all skills levels with AI-generated code
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Automating application-driven container elasticityWhitepaper For platform and DevOps engineers looking to operationalize speed to market while assuring application performance
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Observability for developersWhitepaper What is observability
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Let’s rethink retail operationsWhitepaper What would you automate to improve the transaction experience?
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AWS Supply Chain: Cloud giant's new app locates bottlenecks and suggests fixesNews The cloud giant's new cloud-based application aims to offer firms unified supply chain oversight, with pre-trained aggregation models
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Podcast transcript: How can we make procurement smart?IT Pro Podcast Read the full transcript for this episode of the IT Pro Podcast
