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IBM Cloud delivers enterprise sovereign cloud capabilities

IBM Big Data Hub

As we see enterprises increasingly face geographic requirements around sovereignty, IBM Cloud® is committed to helping clients navigate beyond the complexity so they can drive true transformation with innovative hybrid cloud technologies. We believe this is particularly important with the rise of generative AI.

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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. The excitement and related fears surrounding AI only reinforces the need for private clouds.

IT 135
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7 Enterprise Applications for Companies Using Cloud Technology

Smart Data Collective

Enterprise cloud technology applications are the future industry standard for corporations. Here’s how enterprises use cloud technologies to achieve a competitive advantage in their essential business applications. The post 7 Enterprise Applications for Companies Using Cloud Technology appeared first on SmartData Collective.

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How to Gain Greater Confidence in your Climate Risk Models

Cloudera

As part of these efforts, disclosure requirements will mandate that firms provide “the impact of a company’s activities on the environment and society, as well as the business and financial risks faced by a company due to its sustainability exposures.” What are the key climate risk measurements and impacts? Generate Scenarios.

Risk 78
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4 Key Elements of Enterprise AI Strategy

bridgei2i

In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion. The leaders discuss data and digital transformation opportunities arising despite the global pandemic and enterprise challenges towards AI adoption.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52
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Gaining an AI advantage: Not all AIs are created equal

CIO Business Intelligence

By analyzing large volumes of clean data from various sources, such as network traffic logs and user behavior patterns, AI can correctly identify anomalies and potential security breaches that may go unnoticed by traditional security measures. 300% more early detection for malicious hosts. unique users and 49.75