The use of artificial intelligence (AI) in satellite manufacturing is gaining traction, though companies are moving cautiously. As AI advances, organizations are exploring how it can optimize production while addressing concerns like cybersecurity and data integrity. Here’s a closer look at how leading companies are approaching this technology.
1. Proceeding with Caution
Blue Canyon Technologies, a Raytheon subsidiary, is carefully integrating AI into its manufacturing process. Chris Winslett, the company’s general manager, stressed the importance of understanding how AI handles sensitive data, raising concerns about cybersecurity risks and data sourcing. “When you’re trying to teach an AI machine, where does your data go?” Winslett asked.
Despite these concerns, AI can improve the engineering design process, transforming large datasets into actionable insights and allowing engineers to focus on decision-making rather than data analysis.
2. Ensuring Data Integrity
Kongsberg NanoAvionics also emphasizes caution in using AI. Engineering operations director Karolis Senvaitis highlighted the difficulty in verifying the source and reliability of AI-generated data. For companies aggregating data from various sources, trust in AI results is crucial.
Until AI data provenance concerns are resolved, Senvaitis sees limited AI integration in manufacturing and testing. However, he agrees with the value of AI for managing and analyzing large datasets to boost efficiency.
3. Robotics and In-House Data
Machina Labs, a startup developing robotic metal tooling technology, faces fewer data concerns. Since it generates its own data, Machina Labs avoids many of the challenges related to external sourcing. Using AI-powered robots equipped with sensors and scanning software, the company optimizes production processes and reduces defects.
Machina Labs’ approach shows that in-house data generation and secure storage can simplify AI adoption. The company is already using AI to streamline manufacturing and improve quality control.
4. AI’s Future in Satellite Manufacturing
While companies are cautious, AI’s potential to transform satellite manufacturing is clear. AI can manage vast datasets, enabling engineers to focus on innovation. However, to fully integrate AI, the industry must address concerns around cybersecurity and data trustworthiness.
As AI technology evolves, companies like Machina Labs, which generate secure, in-house data, may have an easier path to adoption. Meanwhile, others will need to focus on securing external data before embracing AI-driven processes.
Interested in how AI is shaping industries? Check out our courses on AI and machine learning, or visit our blog for more insights into cutting-edge technologies!