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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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Build and share a business capability model with Amazon QuickSight

AWS Big Data

Defining and capturing a business capability model If an enterprise doesn’t have a system to capture the business capability model, consider defining and finding a way to capture the model for better insight and visibility, and then map it with digital assets like APIs. It keeps evolving with business requirements and usage.

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erwin® Data Modeler by Quest® R12.0: Leading the way with a new DevOps GitHub capability

erwin

If you’re a long-time erwin ® Data Modeler by Quest ® customer, you might be asking yourself, “What happened to the release naming convention of erwin Data Modeler?” In 2021 erwin Data Modeler released 2021R1. So, this release of erwin Data Modeler aligns with the release of erwin Data Intelligence 12.0,” he concluded. “So,

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Low-code: An Accelerator for Digital Transformation

CIO Business Intelligence

Partnering with FPT Software to adopt low-code solutions, the company was able to build a new user-friendly application to elevate user experience and streamline operation while reducing the application development workload by 70 percent, namely: the ability to interact daily with other systems to consolidate information recorded by the toll booths.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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GraphDB in Action: Smells Like Semantics Spirit

Ontotext

As knowledge graphs have made their way into more and more areas of our lives through smarter search and immersive information navigation, they are also gradually turning into the default way we expect to interact with knowledge. In addition, there is open-access to the Odeuropa data model , as well as a Historical Scent Collection website.

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How Jamworks protects confidentiality while integrating AI advantages

IBM Big Data Hub

The advantages of AI are numerous and impactful, from predictive analytics that refine strategies, to natural language processing that fuels customer interactions and assists users in their daily tasks, to assistive tools that enhance accessibility, communication and independence for people with disabilities.