The future of manufacturing is repetitive; It’s collaborative and data-driven. | So Good News


Transformation with data.

Another key digital transformation practice is the combination of artificial intelligence (AI) and machine learning (ML) to automate or at least streamline and simplify product development. At Raytheon, teams work on complex fluids in missile systems; By applying model-based engineering to predict structural and thermal interactions, engineers can better understand how a product will operate at supersonic speeds. But in any industry, AI and ML can be used to help teams make better, smarter design choices and ultimately better products and experiences for users and consumers.

For example, natural language processing, the subfield of AI that trains machines to understand human speech and writing, can improve everything from customer support operations to e-commerce product descriptions. AI and ML can also be used to streamline and automate warehouse operations and data entry and processing. In the early days of the epidemic, Some banks are relying on AI-powered robotic process automation to respond to the influx of Paycheck Protection Program applications and quickly submit submissions to the US government.

A key goal of many digital transformations is to connect and discover data stored throughout the organization. It makes it easier to access and deploy. This is often achieved through a federated data model, an approach to data management that creates a centralized view of an organization’s data, even if it resides in different locations. By aligning data that was previously hidden, while keeping it at its source. Data Federation is the development, Development and development of diverse teams by enabling diverse teams to collaborate throughout the manufacturing and testing processes. Provides simple access throughout production and testing processes.

At companies like Raytheon, where security and safety are top concerns, data must be organized and firewalled so that only those with appropriate access can view classified information. But once implemented, the modern data architecture also helped Raytheon’s teams navigate a global supply chain that continues to be plagued by pandemics and political conflicts.

“We have data stored in multiple systems. We have data in our procurement system and data in our risk management system. Each program has data stored in the master schedule,” says Gundrey. “Now, our supply chain team can pull all this data together and use AI and ML to better predict material delivery times and better plan our program activities.”

All of these transformative technologies and critical data can be connected through a “digital thread,” a communication architecture that runs throughout the manufacturing process. By capturing and streaming data throughout the product lifecycle; The digital thread combines different digital technologies into a holistic vision. People and processes are central to this transition. Gundrey says, “As we build this digital thread, we want it to be all about people and the work processes that come with it.”

Benefits of digital transformation

For today’s companies, The benefits of digital transformation are wide-ranging. In addition to connecting and accelerating the product development cycle, giving teams richer and more relevant data. This can reduce the risk.

At the individual business level; This can mean that the risk of customer frustration is reduced as it allows teams to identify potential problems early in the design process. Using these iterative and collaborative methods allows teams to solve complex design problems early, avoids the risk of costly rework later, and gives managers greater visibility into how specific components will perform.


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