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IBM Wants To Make Artificial Intelligence Fair And Transparent With AI OpenScale

#artificialintelligence

IBM has announced AI OpenScale, a service that aims to bring visibility and explainability of AI models for enterprises. When it comes to adopting AI for business use, there are multiple concerns among enterprise customers. Lack of visibility of the model, unwanted bias, interoperability among tools and frameworks, compliance in building and consuming AI models are some of the critical issues with AI. IBM AI OpenScale provides explanations into how AI models are making decisions, and automatically detects and mitigates bias to produce fair, trusted outcomes. It attempts to bring confidence to enterprises by addressing the challenges involved in adopting artificial intelligence.


IBM Wants To Make Artificial Intelligence Fair And Transparent With AI OpenScale

#artificialintelligence

IBM has announced AI OpenScale, a service that aims to bring visibility and explainability of AI models for enterprises. When it comes to adopting AI for business use, there are multiple concerns among enterprise customers. Lack of visibility of the model, unwanted bias, interoperability among tools and frameworks, compliance in building and consuming AI models are some of the critical issues with AI. IBM AI OpenScale provides explanations into how AI models are making decisions, and automatically detect and mitigate bias to produce fair, trusted outcomes. It attempts to bring confidence to enterprises by addressing the challenges involved in adopting artificial intelligence.


Configure, monitor, and understand machine learning models with IBM AI OpenScale

#artificialintelligence

The new Monitor WML models with AI OpenScale code pattern shows you how to gain insight into a machine learning model using IBM AI OpenScale. The pattern provides examples of how to configure the AI OpenScale service. You can then enable and explore a model deployed with Watson Machine Learning, and create fairness and accuracy measures for the model. IBM AI OpenScale is an open platform that enables organizations to automate and operate their AI across its full lifecycle. AI OpenScale provides a powerful environment for managing AI and ML models on IBM Cloud, IBM Cloud Private, or other platforms.


Amazon SageMaker tutorial and model

#artificialintelligence

This code pattern describes a way to gain insights by using Watson OpenScale and a SageMaker machine learning model. It explains how to create a logistic regression model using Amazon SageMaker with data from the UC Irvine machine learning database. The pattern uses Watson OpenScale to bind the machine learning model deployed in the AWS cloud, create a subscription, and perform payload and feedback logging. With Watson OpenScale, you can monitor model quality and log payloads, regardless of where the model is hosted. This code pattern uses the example of an Amazon Web Service (AWS) SageMaker model, which demonstrates the independent and open nature of Watson OpenScale.


IBM launches IBM AI OpenScale to combat AI sprawl as part of broad open strategy

ZDNet

IBM launched IBM AI OpenScale, a platform designed to help enterprises build, run, manage and operate artificial intelligence applications. The launch of AI OpenScale is part of IBM's ongoing effort to become a management plane for AI and add transparency to so-called black box approaches. If AI sprawl isn't here today it soon will be and enterprises are likely to have a management headache ahead. IBM has been pushing for more AI transparency and tools that allow data scientists as well as business executives find flaws in models. For IBM, AI OpenScale is one front of a multi-pronged strategy to position its wares as being more open and serve as an integrator for data, multiple clouds and security analysis.