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Data Observability and Data Quality Testing Certification Series

DataKitchen

Session 4: Towards Data Testing and Observability Maturity Our final session will cover the roles, management, and metrics involved in data testing and introduce you to the Data Testing Maturity Model. This session is crucial for those looking to ensure data consistency and accuracy across different stages of data handling.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

In 2024, sustainability is taking center stage. In addition to CSRD, California has new mandatory reporting rules coming into play in 2024, while countries around the world are on the verge of implementing their own non-financial disclosure and documentation requirements. trillion to the global economy by 2050.

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How the Masters uses watsonx to manage its AI lifecycle

IBM Big Data Hub

New features in 2024 include Hole Insights, stats and projections about every shot, from every player on every hole; and expanded AI-generated narration (including Spanish language) on more than 20,000 highlight clips. .” We also measure response time since this is a near real-time system. ” Watsonx.ai

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MLOps Helps Mitigate the Unforeseen in AI Projects

DataRobot Blog

IDC 2 predicts that by 2024, 60% of enterprises would have operationalized their ML workflows by using MLOps. This also shows how the models compare on standard performance metrics and informative visualizations like Dual Lift. Here the DataRobot view shows that the Challenger beats the Champion on some metrics, but not all.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Organizations face increased pressure to move to the cloud in a world of real-time metrics, microservices and APIs, all of which benefit from the flexibility and scalability of cloud computing. Cloud adoption maturity model This maturity model helps measure an organization’s cloud maturity in aggregate. Why move to cloud?

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Business process reengineering (BPR) examples

IBM Big Data Hub

This blog outlines some BPR examples that benefit from a BPM methodology. Steps for improving output quality involve implementing quality control measures, fostering a culture of continuous improvement, and using customer feedback and other metrics to drive innovation. Last updated 23 February 2024.

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How to become an AI+ enterprise

IBM Big Data Hub

In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness.