This news is a bit old dating from the first of May. Its relevancy maintains its freshness—another look at the major IT companies looking for market in manufacturing. This holds personal interest in that once again I am not invited back to an IT company user conference because they tried a manufacturing vertical without success. (I could have told them, but that story will hold for another place and time.)

Google Cloud has co-developed Manufacturing Data Engine and Manufacturing Connect. These solutions are said to enable manufacturers to connect historically siloed assets, process and standardize data, and improve visibility from the factory floor to the cloud. Once data is harmonized, the solutions enable three critical AI- and analytics-based use cases–manufacturing analytics & insights, predictive maintenance, and machine-level anomaly detection.

Key points:

  • Ford, Kyocera, and Phononic among early customers to enhance data transparency and optimize production with new manufacturing-specific solutions
  • Cognizant, C3 AI, GFT, Intel, Litmus, Quantiphi, SoftServe, Sotec, Splunk, among partners supporting the new solutions

Manufacturing Data Engine and Manufacturing Connect, available today, help manufacturers unify their data and empower their workforce with easy-to-use analytics and AI solutions based on cloud infrastructure.

This continues the discussion I made yesterday about DataOps. The rapid move to data organizations and technology in manufacturing continues to amaze me.

Manufacturing Data Engine is an end-to-end solution that processes, contextualizes, and stores factory data on Google Cloud’s data platform. It provides a configurable and customizable blueprint for the ingestion, transformation, storage, and access to factory data. It integrates key Google Cloud products, including Cloud Dataflow, PubSub, BigQuery, Cloud Storage, Looker, Vertex AI, Apigee, and more, into a manufacturing-specific solution.

Manufacturing Connect is a factory edge platform co-developed with Litmus Automation that quickly connects to, and streams data from, nearly any manufacturing asset and industrial system to Google Cloud, based on an extensive library of more than 250 machine protocols. Deep integration with the Manufacturing Data Engine unlocks rapid data intake into Google Cloud for processing machine and sensor data. The ability to deploy containerized applications and ML models to the edge enables new dimensions of use cases.

Once data is centralized and harmonized by the Manufacturing Data Engine and Manufacturing Connect, it can then be used to address a growing set of industry-specific use cases.

Data holds no value unless it can be analyzed and visualized.

Manufacturing analytics & insights, which helps manufacturers quickly create custom dashboards to visualize key data—from factory KPIs such as Overall Equipment Effectiveness (OEE), to individual machine sensor data. Integrated with the Manufacturing Data Engine, engineers and plant managers can automatically set up new machines and factories, enabling standardized dashboards, KPIs, and on-demand drill-downs into the data to uncover new insights opportunities throughout the factory. These can then be shared easily across the enterprise and with partners.

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