Google Cloud supports manufacturers towards paid data

With two solutions, Google Cloud is responsible for standardizing and analyzing data from industrial sites. They rival similar custom offerings from AWS, Oracle, Microsoft, and IBM.

Google Cloud is gaining momentum in vertical offerings, targeting the industrial sector in particular. The supplier will soon offer solutions that unify data from various machines and return information to plant managers. The goal is to make engineering and data science tasks easier in this way. These offerings come at a time when companies in the industrial sector are adopting systems to adapt to an increasingly volatile, uncertain, complex and ambiguous environment (a condition also referred to by the acronym VUCA, Volatility, Uncertainty, Complexity and Ambiguity), as a result of recent global phenomena such as the pandemic and the “Great Resignation”. .

According to consultancy McKinsey, nearly two-thirds of manufacturers worldwide already use cloud solutions, and according to marketing firm ReportLinker, the global market for connected factories is going through the Internet of Things. It is expected to reach $214.2 billion by 2026. But companies that plan to digitize their factories or are at some point in implementing emerging technologies face significant challenges, according to Google. “To succeed in this evolution, companies face two phenomena: a lack of access to contextual operational data and a lack of skills to use complex data science and AI tools in factories,” explains in a blog post Charlie Sheridan, CTO of Industrials at Google Cloud. In this context, the Manufacturing Data Engine announced by GCP aims to help them organize data and give it meaning for use in their operating activities.

Connect the edge and the cloud to facilitate data extraction

“By using the Manufacturing Data Engine, companies will be able to extract data — including telemetry data and images — over a private, secure, and inexpensive connection between the edge and the cloud,” Sheridan said. “The engine has built-in data standards and context enrichment capabilities to deliver a common data model and build a storage-optimized data warehouse,” he added. Other than that, most companies use different types of industrial machinery (known as OT) to collect data. To solve the problem of this diversity of data sources from these devices, GCP launched the Manufacturing Connect tool. Developed in partnership with industrial data platform provider Litmus Automation, Manufacturing Connect can connect to any OT infrastructure by drawing on a back-end library of over 250 device protocols. Manufacturing Connect translates machine data into an understandable data set and sends it to a manufacturing data engine for processing, contextualization, and storage. Supporting containerized workloads enables manufacturers to run low latency data visualization, analytics, and machine learning functions right at the edge,” said Leader.

Integration with other Google offerings

Organizations can also use the Manufacturing Data Engine with other GCP products to generate more insights, perform predictive maintenance, and detect anomalies at the machine level. The Manufacturing Data Engine features out-of-the-box integration with models from the Google Looker BI no-code platform, used by production engineers and plant managers to quickly create and modify custom dashboards and add machines, configurations, and other production units.

In order to perform predictive maintenance, companies can deploy and optimize pre-built machine learning models with the help of Google Cloud experts. To help manufacturing teams identify machine-level anomalies, Google has developed an integration that supports GCP’s Time Series Insights API on real-time machine and sensor data, which identifies unexplained changes and provides alerts.

Competing Industry Solutions

said Holger Muller, principal analyst at Constellation. “At Google, industry-focused solutions rolled out early in 2019, when Thomas Kurian was at the helm,” Mueller said, adding that these types of industry-focused solutions help CIOs unlock the true potential of their cloud investments because they It ensured a faster strategy to reach the market. Google Cloud Industrial Solutions partners include Intel, Splunk, Quantiphi, Cognizant, Litmus Automation, Sotec, GFT, and Softserve. Google Certified Partners has not provided an indication of the general availability of these solutions, but an offer should be made at the end of May.

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