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3 Reasons Why You Should Test Your Virtual Desktop Environment

CDW Research Hub

As virtual desktop infrastructure (VDI) gains popularity among enterprises across multiple industries, and with many desktops migrating to the cloud, testing your virtual desktop environment has never been so important. Here are three reasons why testing is so important before setting up a virtual desktop environment.

Testing 92
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Run Generative AI on-premises, with a cloud experience

CIO Business Intelligence

The question inspires spirited debate from both sides of the hosting aisle. As you prepare to run a new workload, your first inclination may be to build, test, and launch it in a public cloud. Some scenarios require real-time interactions with the AI model , such as chatbots that support sales or customers. And why not?

Testing 138
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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.

Risk 52
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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

One such company has built a tool that predicts customer intent and behavior based on previous interactions and other market data. We are proceeding cautiously because the rise of LLMs [large language models] presents a new level of data security risk,” he says. “We AI tools rely on the data in use in these solutions. Nafde agrees.

Risk 133
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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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Mainframe and the cloud? It’s easy with open source

IBM Big Data Hub

Developers require hands-on interaction with the tools they use—a deep relationship that makes the technology their own, even as they work in the cloud. One source of such software is the Open Mainframe Project (OMP), hosted by the Linux Foundation and championed by IBM, Broadcom, Rocket Software and others. Open-source software.

Software 129
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Build scalable and serverless RAG workflows with a vector engine for Amazon OpenSearch Serverless and Amazon Bedrock Claude models

AWS Big Data

Amazon Bedrock and foundation models like Anthropic Claude are poised to enable a new wave of AI adoption by powering more natural conversational experiences. However, a key challenge that has emerged is tailoring these general purpose models to generate valuable and accurate responses based on extensive, domain-specific datasets.