Remove Data Lake Remove Data Transformation Remove Forecasting
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Bridging the gap between mainframe data and hybrid cloud environments

CIO Business Intelligence

Data professionals need to access and work with this information for businesses to run efficiently, and to make strategic forecasting decisions through AI-powered data models. Without integrating mainframe data, it is likely that AI models and analytics initiatives will have blind spots.

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Data transformation takes flight at Atlanta’s Hartsfield-Jackson airport

CIO Business Intelligence

The original proof of concept was to have one data repository ingesting data from 11 sources, including flat files and data stored via APIs on premises and in the cloud, Pruitt says. There are a lot of variables that determine what should go into the data lake and what will probably stay on premise,” Pruitt says.

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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Forecasting is another critical component of effective inventory management. However, forecasting can be a complex process, and inaccurate predictions can lead to missed opportunities and lost revenue. However, forecasting can be a complex process, and inaccurate predictions can lead to missed opportunities and lost revenue.

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How the BMW Group analyses semiconductor demand with AWS Glue

AWS Big Data

The main requirement is to have an automated, transparent, and long-term semiconductor demand forecast. Additionally, this forecasting system needs to provide data enrichment steps including byproducts, serve as the master data around the semiconductor management, and enable further use cases at the BMW Group.

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7 key Microsoft Azure analytics services (plus one extra)

CIO Business Intelligence

But the features in Power BI Premium are now more powerful than the functionality in Azure Analysis Services, so while the service isn’t going away, Microsoft will offer an automated migration tool in the second half of this year for customers who want to move their data models into Power BI instead. Azure Data Factory.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

“Digitizing was our first stake at the table in our data journey,” he says. That step, primarily undertaken by developers and data architects, established data governance and data integration. That step, primarily undertaken by developers and data architects, established data governance and data integration.

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

CIO Business Intelligence

In financial services, mismatched definitions of active account or incomplete know-your-customers (KYC) data can distort risk models and stall customer onboarding. In healthcare, missing treatment data or inconsistent coding undermines clinical AI models and affects patient safety. Low cost, flexibility, captures diverse data sources.