Remove Data Architecture Remove Data Strategy Remove Manufacturing
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Achieving Trusted AI in Manufacturing

Cloudera

In the dynamic landscape of modern manufacturing, AI has emerged as a transformative differentiator, reshaping the industry for those seeking the competitive advantages of gained efficiency and innovation. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits.

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Big Data Opportunity in Manufacturing

TDAN

Defined as information sets too large for traditional statistical analysis, Big Data represents a host of insights businesses can apply towards better practices. In manufacturing, this means opportunity. But what exactly are the opportunities present in big data?

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CIO Ryan Snyder on the benefits of interpreting data as a layer cake

CIO Business Intelligence

Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific? Ryan Snyder: For a long time, companies would just hire data scientists and point them at their data and expect amazing insights. That strategy is doomed to fail.

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Embedding AI Into Every Aspect of Your Business

Cloudera

Most businesses, whether you are in Retail, Manufacturing, Specialty Chemicals, Telecommunications, consider a 10% market capitalization increase from 2020 to 2021 outstanding. Build your data strategy around the convergence of software and hardware.

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Automate discovery of data relationships using ML and Amazon Neptune graph technology

AWS Big Data

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization.

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Sharpening Cloudera’s Cloud Focus in Asia Pacific and Japan

Cloudera

There also needs to be a cloud-first strategy that should have buy-in from upper management. More importantly, a company’s data strategy should drive its cloud strategy so that they are aligned and fulfill both business and IT needs. The strategy should also be understood and embraced by the entire organization.

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The power of remote engine execution for ETL/ELT data pipelines

IBM Big Data Hub

Transformation styles like TETL (transform, extract, transform, load) and SQL Pushdown also synergies well with a remote engine runtime to capitalize on source/target resources and limit data movement, thus further reducing costs. With a multicloud data strategy, organizations need to optimize for data gravity and data locality.