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5 Reasons Manufacturers Should Move ERP Data to Snowflake to Supercharge Analytics

Snowflake

Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.

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Delivering Real-Time Manufacturing Predictive Maintenance

Confluent

Confluent Cloud enables organizations to unlock real-time visibility into manufacturing processes, using real-time data collection and analytics to prevent re-work and tooling failures, delivering an outsized impact on production volume and quality.

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Case Study: Rockset Enables Real-Time Operational Analytics in Hardware Manufacturing for PCH

Rockset

Summary: PCH International is a leading hardware manufacturer with global operations that requires ultra-fast analysis of huge volumes of streaming data. The existing data infrastructure built on MongoDB and DynamoDB couldn’t support real-time querying of data.

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Driving Innovation and Efficiency with Gen AI in Life Sciences

Snowflake

Meanwhile, 79% of industry professionals said gen AI has the potential to revolutionize drug manufacturing in terms of quality and efficiency. They can accelerate research and discovery, optimize manufacturing, enhance commercialization, reduce costs and, ultimately, improve patient outcomes.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Fig 1: The Enterprise Data Lifecycle.

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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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Approaching Predictive Maintenance in the age of AI

RandomTrees

Predictive maintenance monitoring seeks to strike a balance by using real-time data and analytics to forecast when equipment will fail. Consequently, many industries, including manufacturing, energy, transportation, and healthcare, are adopting predictive maintenance as their preferred strategy.