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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. With AI governance solutions, a data scientist using standard, open Python libraries and frameworks can have facts about the model building and training automatically collected. Better data-driven decision making with AI and AI governance.

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AI Governance: Why our tested framework is essential in an AI world

Collibra

After all, it is very likely that you’ll be asked about your library of AI use cases – either by your executives, by your compliance colleagues, by the market, or by regulatory agents. Usually, this step involves reaching out to relevant data owners. Maybe it’s your data science colleague who has a store of transactional data.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

The migration involves using a cloud enablement strategy to deliver products and services on-demand to business users and customers anytime, anywhere, and on any device, while evolving and adapting to business users’ and customers’ needs as new formats, standards, and devices emerge. Content Services Platforms (CSP).

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5 Major Cybersecurity Trends to Know for 2024

eSecurity Planet

Cybercrime will go to the next level: Cyberattackers will implement improved skills, “shift left” attacks, and shifting strategies to adjust to evolving cyberdefense. Attack surfaces will explode: Cyberdefense complexity will compound as API, cloud, edge, and OT resources add to the list of assets to defend.

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How to choose the best AI platform

IBM Big Data Hub

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

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Introducing watsonx: The future of AI for business

IBM Big Data Hub

Developers can build workflows directly in our ModelOps environment using APIs, SDKs, and libraries, managing machine learning models from development to deployment. Advanced users will be able to use our tuning studio to customize models with labeled data, creating new trusted models from a pre-trained model.

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Changing CILIP in the context of our changing profession

CILIP

CILIP CEO Nick Poole's speech to the Cambridge Library Group at the University of Cambridge for the Cambridge library group on the 27th February. Not so very long ago, I was asked whether I was optimistic or pessimistic about the future of libraries and indeed of librarians. especially not libraries.