Remove Forecasting Remove Metadata Remove Testing
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Data Insights for Everyone — The Semantic Layer to the Rescue

Rocket-Powered Data Science

They realized that the search results would probably not provide an answer to my question, but the results would simply list websites that included my words on the page or in the metadata tags: “Texas”, “Cows”, “How”, etc. The BI team may be focused on KPIs, forecasts, trends, and decision-support insights. That’s data democratization.

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. In retail, poor product master data skews demand forecasts and disrupts fulfillment. Implementation complexity, relies on robust metadata management.

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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Modernize existing applications such as recommenders, search ranking, time series forecasting, etc. A catalog or a database that lists models, including when they were tested, trained, and deployed. Metadata and artifacts needed for audits. Use ML to unlock new data types—e.g., images, audio, video.

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AI recommendations for descriptions in Amazon DataZone for enhanced business data cataloging and discovery is now generally available

AWS Big Data

Without the right metadata and documentation, data consumers overlook valuable datasets relevant to their use case or spend more time going back and forth with data producers to understand the data and its relevance for their use case—or worse, misuse the data for a purpose it was not intended for.

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How to Manage Risk with Modern Data Architectures

Cloudera

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time.

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How AI can deliver eye-opening insights for IT

CIO Business Intelligence

By applying AI /ML, it forecasts energy and emissions so you can be proactive about meeting your sustainability goals. Her career began in the semiconductor test industry. AIOps absorbs power consumption telemetry and calculates energy usage and carbon footprint at the organization, system, and workload levels.

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How a data fabric overcomes data sprawls to reduce time to insights

IBM Big Data Hub

By using metadata-enriched AI and a semantic knowledge graph for automated data enrichment, a data fabric continuously identifies and connects data from disparate data stores to discover relevant relationships between the available data points. How does a data fabric impact the bottom line?