Remove 2022 Remove Data Lake Remove Forecasting Remove Metadata
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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

One of the early projects on which he was able to add value through a partnership between his data hub and one of the business unit spokes was in building a new demand forecasting tool. Very has come full circle as a business built on catalog data, but it took some introspection in order to figure out the best way to get there.

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Achieve your AI goals with an open data lakehouse approach

IBM Big Data Hub

With an open data lakehouse architecture approach, your teams can maximize value from their data to successfully adopt AI and enable better, faster insights. Why does AI need an open data lakehouse architecture? from 2022 to 2026. New insights and relationships are found in this combination.

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How data stores and governance impact your AI initiatives

IBM Big Data Hub

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) Learn more about IBM watsonx 1.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.

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Do the Benefits of Cloud Outweigh the Costs?

Jet Global

In fact, a recent Gartner report on cloud expenditure found that cross-industry cloud spend has risen from 8% as a percentage of total IT spend in 2018 to 16% in 2022. What are the best practices for analyzing cloud ERP data? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP?