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How generative AI correlates IT and business objectives to maximize business outcomes

IBM Big Data Hub

Business owners often grapple with the frustrating reality of discovering IT issues impacting their operations only after customer complaints have arisen, leaving them with little opportunity to mitigate problems proactively. Many organizational IT networks host tens of thousands of applications operating within their hybrid cloud network.

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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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Exploring architectural choices: Options for running IBM TRIRIGA Application Suite on AWS with Red Hat OpenShift

IBM Big Data Hub

The suite’s simplified licensing model also offers greater adaptability, which enables users to scale their usage according to requirements. Figure 1: TAS on customer-hosted Red Hat OpenShift high-level architecture 2. Figure 2: TAS on customer-hosted ROSA high-level architecture 3. Ready to get started?

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How to build a successful AI strategy

IBM Big Data Hub

An AI strategy allows organizations to purposefully harness AI capabilities and align AI initiatives with overall business objectives. Define clear objectives What problems does the organization need to solve? A model represents what was learned by a machine learning algorithm. What metrics need to be improved?

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Digital Marketing and Measurement Model

Occam's Razor

Winners, well before they think data or tool, have a well structured Digital Marketing & Measurement Model. This article guides you in understanding the value of the Digital Marketing & Measurement Model (notice the repeated emphasis on Marketing, not just Measurement), and how to create one for yourself. Losers don't.

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Focus on cost and agility to ensure your cloud migration success

CIO Business Intelligence

“When a cloud strategy team has those chief objectives nailed down, they can plan supporting considerations – such as security, resiliency and scalability – around them more effectively.” This requirement plays into the increased adoption of multicloud models. Agility is not always well understood,” explains DePerro.

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Cloud Analytics Powered by FinOps

Cloudera

Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives. However, the reality is that the “move to cloud” is a turbulent flight for many of them. But FinOps is not only about cost management and control.