Google Cloud supports manufacturers towards data driven


Through two solutions, Google Cloud is responsible for unifying and analyzing data from industrial sites. They rival similar dedicated offerings from AWS, Oracle, Microsoft, and IBM.

Google Cloud is gaining momentum on vertical offers, targeting the industrial sector in particular. The supplier will soon present solutions that unify data from various machines and feed information back to plant managers. The aim is to facilitate engineering and data science tasks 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 situation also referred to by the acronym VUCA, Volatility, uncertainty, complexity and ambiguity), consequence of recent global phenomena such as the pandemic and the “Great Resignation”.

According to consulting firm McKinsey, nearly two-thirds of manufacturers worldwide are already using cloud solutions, and according to marketing firm ReportLinker, the global market for connected factories is through the IoT. It is expected to reach $214.2 billion by 2026. But companies planning to digitally transform their factories or are at some stage of implementing emerging technologies face big challenges, according to Google. . “To succeed in this evolution, firms are confronted with two phenomena: the lack of access to contextualized operational data and the lack of skills to use complex data science and AI tools in the factories”, explains in a blog post. blog Charlie Sheridan, CTO of Industrials at Google Cloud. In this context, Manufacturing Data Engine announced by GCP is intended to help them organize the data and give it meaning to use it in their operating activities.

Connect the edge and the cloud to facilitate data extraction

“With the Manufacturing Data Engine, companies will be able to extract data – including telemetry and imagery data – over a private, secure, and inexpensive connection between the edge and the cloud,” said Sheridan. “The engine has built-in data standardization and context enrichment capabilities to deliver a common data model and build a storage-optimized data lakehouse,” he added. Except that, most companies use different types of industrial machines (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 the industrial data platform provider Litmus Automation, the Manufacturing Connect tool can connect to any OT infrastructure by relying on a back-end library that includes more than 250 machine protocols. “Manufacturing Connect translates machine data into a digestible data set and sends it to the Manufacturing Data Engine for processing, contextualization and storage. Support for containerized workloads enables manufacturers to run low-latency data visualization, analytics, and machine learning functions directly at the edge,” said the leader.

Integration with other Google offers

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

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

Competing industry solutions

“Google Cloud’s industry-focused solutions will compete with offerings from rivals like AWS, Microsoft Azure, Oracle, and IBM, which offer similar solutions with more horizontal capabilities,” said Holger Mueller, principal analyst at Constellation. Research. “At Google, the launch of industry-focused solutions started as early as 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 investment because they ensured a faster time-to-market strategy. Google Cloud partners for industrial solutions include Intel, Splunk, Quantiphi, Cognizant, Litmus Automation, Sotec, GFT, and Softserve. GCP did not give an indication of the general availability of these solutions, but a presentation should take place at the end of May.

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