Remove Cost-Benefit Remove Data Warehouse Remove Forecasting Remove Manufacturing
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Next Stop – Building a Data Pipeline from Edge to Insight

Cloudera

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle. 1 The enterprise data lifecycle.

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How To Get Rid Of Your Data Silos in S&OP

Jedox

The process of sales and operations planning (S&OP) is one of the most important tasks for organizations in manufacturing. The problem with data silos in the planning process. In many manufacturing companies, large and small, sales reps and leaders regularly consolidate their data in a central spreadsheet.

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It’s not your data. It’s how you use it. Unlock the power of data & build foundations of a data driven organisation

CIO Business Intelligence

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. THE GROWTH OF DATA. zettabytes of data. CLOUDERA DATA PLATFORM (CDP) IN ACTION.

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

Gathering and processing data quickly enables organizations to assess options and take action faster, leading to a variety of benefits, said Elitsa Krumova ( @Eli_Krumova ), a digital consultant, thought leader and technology influencer. Few companies have the luxury of waiting days or weeks to analyze data before reacting.

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Extreme data center pressure? Burst to the cloud with CDP!

Cloudera

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. A solution.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

They can perform a wide range of different tasks, such as natural language processing, classifying images, forecasting trends, analyzing sentiment, and answering questions. FMs are multimodal; they work with different data types such as text, video, audio, and images.

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How data stores and governance impact your AI initiatives

IBM Big Data Hub

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. But the implementation of AI is only one piece of the puzzle.