Examples of AI in Manufacturing
One way to understand the possibilities of AI is to look at some real-world use cases that companies are already doing.
Porcelain is a crucial raw material in many plumbing fixtures, but it's notoriously difficult to work with. A plumbing fixtures maker was seeing 8-10% of its products that need porcelain coming off the line with defects. Using AI built on the Google Cloud platform, engineers were able to determine the problem was in the quality of the raw materials used combined with kiln temperatures. Using data-driven production methods, the company was able to implement corrective measures.
The maker of some of the world's most recognizable beer brands like Budweiser, Corona, and Stella Artois uses AI built on the Google Cloud platform to extend the life of filters used in the brewing process and minimize downtime.
Check out the latest generation of phones engineered by Google and built with artificial intelligence at the center that makes them powerful business tools.
Even if you don't have any immediate plans to leverage AI, you should be thinking about your technology infrastructure, so you have what you need when you adopt AI solutions. That includes your mobile technology. AI requires more processing power, so you may want to upgrade teams to a more powerful mobile device such as Google's Pixel 9 series of devices.
Google's latest Pixel mobile devices are loaded with AI tools. It's now the default digital assistant—helping users quickly find answers from images, text input, or audio. Gemini Advanced will help write emails and process massive amounts of information like long documents and spreadsheets. It'll then summarize and analyze that data.
Putting mobile devices in the hands of employees in manufacturing settings also empowers them to quickly see data and alerts coming from Gemini. They can then quickly respond and deal with product defects or maintenance tasks.
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