Remove 2023 Remove Data science Remove Government Remove Metadata
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How to enable trustworthy AI with the right data fabric solution

IBM Big Data Hub

Automated, integrated data science tools help build, deploy, and monitor AI models. Often data scientists aren’t thrilled with the prospect of generating all the documentation necessary to meet ethical and regulatory standards. Processes that provide AI governance.

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

A data fabric architecture elevates the value of enterprise data by providing the right data, at the right time, regardless of where it resides. To simplify the process of becoming data-driven with a data fabric, we are focusing on the four most common entry points we see with data fabric journeys.

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

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Introducing watsonx: The future of AI for business

IBM Big Data Hub

It offers its users advanced machine learning, data management , and generative AI capabilities to train, validate, tune and deploy AI systems across the business with speed, trusted data, and governance. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.