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Empower developers to focus on innovation with IBM watsonx

IBM Big Data Hub

From use case creation to test script generation, generative AI offers a streamlined approach that accelerates development, while maintaining quality. This ground-breaking technology is revolutionizing software development and offering tangible benefits for businesses and enterprises. Testing further compounds these challenges.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. These applications are designed to benefit logistics and shipping companies alike. Did you know?

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Unlocking the power of chatbots: Key benefits for businesses and customers

IBM Big Data Hub

The latest artificial intelligence (AI) chatbots , also known as intelligent virtual assistants or virtual agents, not only understand natural conversations thanks to advanced language models but also proactively automate various tasks using conversational AI technology. ” The advantages of chatbots surround us.

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Application modernization overview

IBM Big Data Hub

While rebuild results in maximum benefit, there is a need for high degree of investment, whereas rehost is about moving applications and data as such to cloud without any optimization and this requires less investments while value is low. Subsequent phases are build and test and deploy to production.

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How Italian CIOs produce value with gen AI

CIO Business Intelligence

Creating new business models Gen AI is also unique in that it can generate useful business models. Some gen AI applications can already summarize customer voice and written interactions with the contact center, or, in marketing and sales, identify new sales leads from calls. AI is the future for us,” says Maffei.

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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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4 ways to empower small and medium businesses with generative AI

IBM Big Data Hub

Service providers need technology systems with a centralized customer journey log that can track interactions, sentiment and next steps across every touchpoint to deliver a seamless customer experience. Generative AI can turn SMB needs into product use cases, and the appropriate tech systems can allow SMBs to test products in a sandbox.