Embracing secure AI in manufacturing
What you need to know about AI in manufacturing:
AI is enhancing operational efficiencies and productivity for global manufacturing companies
Though not without risk, AI is a necessity for manufacturers who want to stay ahead of the competition
Forrester's recent report, with an introduction from DeepL, provides exclusive insights into strategic and secure AI use cases
Specifically, Language AI is transforming operations and smoothing multilingual communication for global manufacturers
For the manufacturing sector, artificial intelligence (AI) is no longer an option but a necessity. It's enhancing operational efficiencies, accelerating innovation, and improving product and customer service quality. In short, AI is revolutionizing how manufacturers work.
However, mistakes made by AI can be costly and dangerous—and have a real-life impact. Manufacturers can't afford to take such risks. Instead, you have to find ways to incorporate secure AI into your workflows. That's where Forrester's recent report, "Generative AI: What It Means For Smart Manufacturing", comes in handy.
With an introduction from DeepL, this report provides exclusive insight on how smart manufacturers are using secure, strategic AI to drive innovation and stay ahead of the competition. Access the full report here.
How smart manufacturers are adopting AI
Let's be honest, implementing AI can be risky. It's a new technology and, it doesn't always work exactly as you'd like it to. From generating false data or hallucinating to leaking confidential information, it's important to understand AI's limits—and be wary of making important decisions based on AI alone. However, smart manufacturers can't afford not to use AI.
So, to mitigate risks and make sure you don't fall behind, a cautious approach is best. By prioritizing secure, strategic AI use, manufacturers can not only streamline workflows but also ensure faster production times and reduced operational costs. These are both crucial for staying ahead in today's competitive market.
In fact, Forrester's report suggests that manufacturers should start experimenting with AI sooner rather than later. This way, you can begin to understand its capabilities and limitations—while also establishing the necessary training and safeguards.
For more detailed insights, you can access the full report.
Language AI: a secure AI use case for manufacturers
Language AI, in particular, is a great way for manufacturers to start using secure AI.
Why? It's ideal for generating accurate, human-sounding translations and providing AI writing improvements that allow you to better connect with customers, partners, and colleagues—whether you're communicating in your first, second, or even third language.
But that's not all. Language AI has numerous uses beyond improving direct communication. For example, it can help global manufacturers ensure that their documentation complies with regional standards and streamline multilingual communication.
Language AI can also support:
Reduced dependency on expensive translation services
Enhanced productivity thanks to superior translation quality
Reduced costs and better resource management
Higher employee satisfaction and engagement
Get fast time to value with DeepL's Language AI
One of the reasons manufacturers trust DeepL is its ability to handle highly technical terminology.
According to 2024 DeepL Manufacturing User Research, 43% of manufacturing end users report using DeepL to translate documents. Another 59% use DeepL to verify content accuracy. Thanks to DeepL's high-quality translations and world-class data security, businesses have the confidence they need to communicate seamlessly on a global level.
Furthermore, Forrester's 2024 "Total Economic Impact™ of DeepL" study* highlighted the following DeepL benefits:
345% return-on-investment (ROI)
90% reduction in translation time
50% reduction in translation workloads
DeepL's Language AI not only improves communication with precise, localized translations, but it also boosts operational efficiency. This makes it an ideal choice for smart manufacturers that are searching for secure, strategic AI use cases.
What else can you learn from the report?
The full report explores various themes surrounding AI, such as:
Secure, responsible, and ethical AI use: manufacturers should prioritize AI quality, handle AI tools with care, and implement strict data security and bias auditing rules to responsibly leverage AI's transformative potential
How AI can transform operations: by adopting Language AI, manufacturers can significantly boost operational efficiency, improve customer experiences, and expand seamlessly into international markets
Why AI is set to revolutionize smart manufacturing: despite certain challenges, AI promises to enhance productivity, customer satisfaction, and innovation in manufacturing
How AI improves efficiency across multiple manufacturing sectors: early adopters of AI in the manufacturing industry are seeing significant improvements when leveraging domain-specific enhancements and experienced human oversight
Early steps for integrating AI in manufacturing: explore AI's potential through in-depth research, employee experimentation, and promising use cases—while ensuring supervision to mitigate risks in critical workflows
How to avoid common pitfalls when implementing AI: as AI evolves, it's crucial to not over-rely on unsupervised AI, maintain a broad technological perspective, and continuously assess risks to prevent critical errors
Get ahead with Language AI
For those intrigued by the strategic integration of AI in manufacturing and its many benefits, the full report offers extensive insights and helpful tips.
To begin transforming your manufacturing company with AI, access the complete report today.
*The Forrester study commissioned by DeepL was conducted in 2024 using a composite organization over a period of 3 years.
