Remove 2016 Remove Automation Remove Data Ingestion
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Basil Faruqui, BMC: Why DataOps needs orchestration to make it work

AI News

Analysts and thought leaders almost universally urge the importance of the CEO being actively involved in data initiatives. But what gets buried in the small print is the acknowledgement that many data projects never make it to production. In 2016, Gartner assessed it at only 15%. It’s all data driven,” Faruqui explains.

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Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Journey to AI blog

Forrester’s 2022 Total Economic Impact Report for Data Management highlights the impact Db2 and the IBM data management portfolio is having for customers: Return on investment (ROI) of 241% and payback <6 months. Both services offer independent compute and storage scaling, high availability, and automated DBA tasks.

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Improving air quality with generative AI

AWS Machine Learning Blog

The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion. The objective is to automate data integration from various sensor manufacturers for Accra, Ghana, paving the way for scalability across West Africa.

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HAYAT HOLDING uses Amazon SageMaker to increase product quality and optimize manufacturing output, saving $300,000 annually

AWS Machine Learning Blog

Quality prediction – The estimation of a quality variable on the basis of process variables for decision support or for automation. For example, how much kg/m 3 adhesive ingredient shall be ingested to achieve certain strength and elasticity. Two types of data sources exist for this use case.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

Features (also called alphas , signals , or predictors ) are statistical representations of the data, which can then be used in downstream model building. A current trend in the FSI prediction space is the large-scale automation of dataset ingestion, curation, processing, feature extraction, feature combination, and model building.

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