IBM debuts new capabilities for Watson Anywhere AI initiative - SiliconANGLE

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IBM Corp. today updated its Watson AI tools to help customers eliminate some of the data complexities that prevent them from implementing artificial intelligence-based technologies. The updates are all part of IBM's so-called "Watson Anywhere" initiative that involves scaling AI across any kind of cloud computing platform. Watson Anywhere's main aim is to make data accessible to AI no matter where it's stored. It's built on top of the open source Kubernetes project and enables customers to connect data regardless of where it resides. Watson Anywhere also provides access to a suite of microservices including Watson Openscale and Watson Assistant.


Trust and transparency for your machine learning models with Watson OpenScale

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This tutorial is part of the Getting started with Watson OpenScale learning path. In this tutorial, you'll see how IBM Watson OpenScale can be used to monitor your artificial intelligence (AI) models for fairness and accuracy. You'll get a hands-on look at how Watson OpenScale will automatically generate a debiased model endpoint to mitigate your fairness issues and provides an explainability view to help you understand how your model makes its predictions. In addition, you'll see how Watson OpenScale uses drift detection. Drift detection will tell you when runtime data is inconsistent with your training data or if there is an increase the data that is likely to lead to lower accuracy.


IBM Zones in on DevOps for AI - DevOps.com

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IBM this week revealed it has added a drift detection capability to the Watson OpenScale platform to govern artificial intelligence (AI) models that will become a foundational piece of IBM's approach to defining best DevOps practices for building AI-infused applications. Rohan Vaidyanathan, program director for IBM Watson OpenScale, said one of the biggest AI issues organizations face today is determining when to update or replace an AI model. Announced at the IBM Data and AI Forum event, the drift detection software added to Watson OpenScale provides a continuous monitoring capability that detects how far an AI model has moved from its original parameters, Vaidyanathan said. Drift in AI models usually occurs over time, especially as use cases change in ways that are unexpected. Once that drift is detected, organizations eventually want to either retrain that AI model or replace it with a new one.


Biased AI: IBM OpenScale wants to help detect and fix it

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One of artificial intelligence's known weaknesses is bias. Now a new platform by IBM aims to give businesses the tool to detect that bias -- and fix it. IBM on Monday announced AI OpenScale, a new artificial-intelligence platform that among other things is supposed to clear up how AI makes decisions. "How do we help organizations have more trust and transparency in AI?" said Ritika Gunnar, vice president of IBM's Watson AI technology, in an interview Friday. She gave this example: Insurance companies are using AI to help them accept or reject claims.