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Manufacturers today are betting on innovative technologies like cloud and AI to strengthen competitiveness 
and deliver sustainable growth. The actual work of scaling digital transformation projects from proof of concept to production, however, remains a challenge. Google Cloud believes the scalability challenges revolve around two factors: the lack of access in contextualizing operational data and the skills gap when using complex data science and AI tools on the factory floor.
To ensure manufacturers can scale their digital transformation efforts into production, Google Cloud is announcing new manufacturing solutions, specifically designed for manufacturers’ needs. The new manufacturing solutions from Google Cloud give manufacturing engineers and plant managers access to unified and contextualized data from across their disparate assets and processes.
The new solutions include:
Manufacturing Data Engine, the foundational cloud solution to process, contextualize and store factory data. The cloud platform can acquire data from any type of machine, supporting a wide range of data, from telemetry to image data, via a private, secure, and low-cost connection between edge and cloud. With built-in data normalization and context-enrichment capabilities, it provides a common data model, with a factory-optimized data lake for storage.
Manufacturing Connect is the factory edge platform co-developed with edge software supplier Litmus that quickly connects with nearly any manufacturing asset via an extensive library of 250-plus machine protocols. It translates machine data into a digestible dataset and sends it to the Manufacturing Data Engine for processing, contextualization, and storage. By supporting containerized workloads, it allows manufacturers to run low-latency data visualization, analytics, and ML capabilities directly on the edge.
A growing set of data analytics and AI use cases are being built on the Manufacturing Data Engine and enabled by Google Cloud and partners:
Manufacturing analytics & insights: An out-of-the-box integration with Looker templates that delivers a dashboarding and analytics experience. As an easy-to-use, no-code data and analytics model, it empowers manufacturing engineers and plant managers to quickly create and modify custom dashboards, adding new machines, setups, and factories automatically. The solution enables drill down into the data against KPIs, or on-demand to uncover new insights and improvement opportunities throughout the factory. Shareable insights unlock collaboration across the enterprise and with partners.
Predictive maintenance: Pre-built predictive maintenance machine learning models allow manufacturers to deploy in weeks without compromising on prediction accuracy. Manufacturers can continuously improve their models and refine them in collaboration with Google Cloud engineers.
Machine-level anomaly detection: A purpose-built integration that leverages Google Cloud’s Time Series Insights API on real-time machine and sensor data to identify anomalies as they occur and provide alerts.
With Google cloud’s new manufacturing solutions, three critical pieces of smart manufacturing operations are strengthened and integrated: factory-floor engineers, data, and AI. The emphasis is on making critical technology, such as Cloud and AI, accessible, easier to use and deeply embedded in manufacturers’ day-to-day operations. Combining fast implementation and ease-of-use, powerful digital tools are put directly into the hands of the manufacturers' workforce to un-cover new insights and optimize operations in entirely new ways.
Customers using the Manufacturing Data Engine from Google Cloud can directly access Google Cloud’s industry-leading Vertex AI platform, which offers integrated AI/ML tools ranging from AutoML for manufacturing engineers, to advanced AI tools for experts to fine-tune results.
The new manufacturing solutions will be demonstrated for the first time at Hannover Messe 2022.