Elevating Manufacturing Efficiency with AI: GFT and Google Cloud

GFT and Google Cloud Launch AI Factory Solutions Using Gemini Models

Global digital transformation company GFT and Google Cloud are collaborating to bring their newest manufacturing-specific AI capabilities to factory floors. Last year, GFT announced its implementation of Google Cloud’s Manufacturing Data Engine (MDE), which fueled new AI use cases, such as visual production line inspection, predictive machine maintenance, and production forecasting.

Now, GFT is unveiling its next set of applications built on Google’s Gemini Models, including the ability to determine the root cause of errors and defects, visual dashboards that enable users to query organization-wide data in natural language, predicting parts obsolescence before it results in machine downtime, and the ability to convert thousands of machine training manuals into avatar-led video demonstrations.
Example of AI Uses in Manufacturing

Manufacturing Prime for AI Transformation

Seventy-two percent (72 percent) of manufacturers are looking to reduce costs and improve operational efficiencies, making manufacturing prime for AI transformation. To do this, however, manufacturers need to infuse on-the-ground subject matter expertise with otherwise general Large Language Models (LLMs) to create AI applications specific to everyday manufacturing scenarios.

GFT leveraged its deep manufacturing expertise to first determine which processes it can automate with AI, and second, how it can inject the knowledge of highly skilled practitioners who are in high demand, but short supply, into AI systems.

Industry Transformation with AI

Brandon Speweik, head of industry strategy at GFT, says: “Manufacturing is one of many industries that is ripe for AI transformation, but many enterprises struggle to apply their deep subject matter expertise to the general frameworks available to build on. Our continued work with Google Cloud has the potential to reimagine every aspect of factory floors, resulting in up-skilled workers, increased efficiency and output, and a completely optimized way of operating.”

For GFT, the success in manufacturing is validation for creating vertical-specific AI solutions for manufacturers, financial institutions, insurers, and beyond.

Predictive Maintenance & AI for Operational Optimization

Generative AI in Manufacturing Solutions

GFT uses generative AI across all of its AI-driven manufacturing solutions so that users can interface with the systems. Fabien Duboeuf, industry lead, manufacturing at Google Cloud, says: “Our work with GFT continues to reveal the practical potential of AI in everyday scenarios. Since demonstrating our first visual inspection use case together at the Manufacturing x Digital Innovation Center in Chicago, our work has progressed with an expansive number of applications across factories leveraging generative and agentic AI capabilities.”

Centralized Data with Manufacturing Data Engine

All new manufacturing capabilities are fueled by data that is centralized on the Manufacturing Data Engine, which GFT participated in developing and launching in 2024.

Filed Under: Computing