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Machine Learning Approach to Forecast Cars’ Demand

Analytics Vidhya

Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. The post Machine Learning Approach to Forecast Cars’ Demand appeared first on Analytics Vidhya. In this article, I will […].

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SAP forecasts clarity in the cloud

CIO Business Intelligence

And even the companies that have heavily invested in SAP on-premise for years are moving to the cloud, with Microsoft Teams and Microsoft 365 — best-of-breed applications — or they host their ERP systems. All business models, across all industries, and especially in Germany, are undergoing fundamental changes.

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Private cloud makes its comeback, thanks to AI

CIO Business Intelligence

Private cloud providers may be among the key beneficiaries of today’s generative AI gold rush as, once seemingly passé in favor of public cloud, CIOs are giving private clouds — either on-premises or hosted by a partner — a second look. You don’t want a mistake to happen and have it end up ingested or part of someone else’s model.

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The impact of AI on edge computing

CIO Business Intelligence

IDC forecast shows that enterprise spending (which includes GenAI software, as well as related infrastructure hardware and IT/business services), is expected to more than double in 2024 and reach $151.1 over the 2023-2027 forecast period 1. 1 IDC forecasts spending on GenAI solutions will double in 2024 and grow to $151.1

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Automating Model Risk Compliance: Model Monitoring

DataRobot Blog

In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Monitoring Model Metrics.

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Microsoft can’t keep up with demand for AI in the cloud — for now

CIO Business Intelligence

GitHub Copilot is still using a much smaller model,” Patel said. The demand for AI is so large that there simply isn’t enough capacity to put large language models (LLMs) into every application that enterprises want to. AWS and Google both have capacity issues as well. Microsoft is not unique,” said Semianalysis’ Patel.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. In summary, to ensure that they have built a robust model, modelers must make certain that they have designed the model in a way that is backed by research and industry-adopted practices.

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