It is undeniably clear that artificial intelligence is set to revolutionise the digital landscape.
In light of the recent upgrade to Microsoft’s Bing search engine and Edge browser to harness the AI technology behind ChatGPT, and Google rapidly on its tail in developing their own artificial intelligence capabilities, there is no doubt that AI is soon to become a ubiquitous part of our daily lives.
Yet, for those who work outside of the technology sector, the concept of AI may still be obscure, conjuring up images of blank-faced androids and self-aware supercomputers. Worse yet, it may evoke negative connotations; of stolen jobs and personal data theft.
However, while there are risks involved with the ongoing advancement and implementation of AI, it is important to recognise that artificial intelligence is ultimately a tool; designed not to replace humans, but with the intention of augmenting existing capabilities and making work more efficient.
By demystifying the terminology and general notion of AI, we will be able to more effectively explore its implications for the advanced manufacturing industry, and understand its true potential.
What is AI?
The term artificial intelligence itself simply refers to a machine’s capability to perform tasks that would usually require human intelligence, such as language comprehension, decision making, and problem solving.
The most commonly discussed element of AI is “machine learning”, a process in which a system is able to recognise patterns in existing data. It is then able to make predictions with this information, and perform actions based on it. Throughout this process, it self-corrects, thereby improving its own processes over time.
How AI can optimise your advanced manufacturing business
Artificial intelligence brings significant potential to the advanced manufacturing industry. If implemented correctly, AI-powered technology possesses the capacity to optimize production, improve product quality, cut expenses, and reduce waste.
Furthermore, incorporating AI into your business does not necessarily involve acquiring expensive robots or complex technologies. In fact, much of the value from AI can be derived from its presence in digital management systems—through tools and assets which are often accessible, cost-effective, and stress-free to implement.
Three ways you can incorporate AI into your systems and processes:
- Automation: AI can be used to automate high volume, repetitive, and tedious tasks, such as inputting and transferring data from system to system. Sometimes referred to as Intelligent Process Automation (IPA), this technology frees up your employees to focus on more important tasks, and reduces input mistakes.
- Operational diagnosis: AI can be used in inventory management to monitor production in real-time, enabling you to manage your supply chain and identify bottlenecks. In addition, by using AI to analyse machine data, you can predict when maintenance will be needed and plan accordingly, reducing downtime and increasing efficiency.
- Marketing: AI can also be used to analyse large amounts of data, such as customer feedback, to identify trends and opportunities for improvement. Furthermore, AI powered chatbots can handle a large volume of inquiries and provide quick and accurate responses, as well as gather customer information and preferences, allowing your business to make data-driven decisions to improve your customer’s experience.
Systematiq stays ahead of the curve
As leaders in the defence and rail consulting industries, Systematiq is always on the lookout for new and innovative methods to improve company efficiency and the quality of our work.
Currently, we are in the process of investigating developing AI systems to see how we can implement them to further optimise our customer service capabilities and tender management services.