Whether it be in the form of virtual assistants, recommendation engines, or self-driving cars, Artificial Intelligence (AI) is becoming more and more prevalent in our daily lives. However, there is also a wide range of applications for Artificial Intelligence in Manufacturing.
Artificial Intelligence in Manufacturing is Taking Strides
With sophisticated robots and other intricate, highly automated gear being widely used on the shop floor and in the field, enterprises within the industrial market have been at the forefront of technical progress for decades.
However, it is true that the gap between this operational technology and business-oriented information technology (IT) is significant and well-recognised. Industrial markets have historically lagged behind other sectors in terms of IT spending. But with the application of Artificial Intelligence, that’s about to change.
Now, it’s anticipated that industrial enterprises will spend more on digital transformation tools than their B2C competitors. The opportunities for the industrial market are vast because this investment yield has the ability to bring about the same kind of disruption and transformation seen in sectors like retail, finance, insurance, and healthcare.
Digital Transformation is More Than Simple Digitalization
The majority of manufacturers’ efforts in digital transformation do not produce the desired results. This may be the case because efforts are more aimed towards “digitalization” rather than “digital transformation,” which is primarily concerned with increasing productivity.
Efficiency gains are desirable, but because industrial companies have already spent years employing a variety of tactics to extract as much production and supply chain efficiency as possible, the changes brought about by digitalization are not transformational, and the yields are likely to be modest.
Digital transformation, however, goes much further than efficiency. Whilst it is a strategy that includes digitalization, it also facilitates ongoing, significant process improvement, enhanced agility, and, most crucially, breakthrough innovation.
Digital Transformation Explained
In a nutshell, digital transformation is the process of utilising digital technologies and supporting capabilities to build a strong new digital business model.
For a compelling, personalised customer experience, digital transformation entails leveraging data, analytics, and connectivity to reimagine everything you do from the perspective of your customers. It also involves employing these same capabilities as the foundation of new goods and services.
By utilising the cutting-edge technology of artificial intelligence, the profound impact of digital transformation can be employed across the industrial market.
The nature of artificial intelligence (AI) is conceptual. It is a phrase that is generally used to characterise a machine’s ability to mimic some feature of human intelligence.
As a result, the term “AI” is frequently used to describe computer programmes that carry out cognitive tasks that people can also do, such as filtering spam email, deciphering handwriting, identifying fraud, translating speech, and making product recommendations.
However, these kinds of applications are capable of carrying out their tasks with or without the help of sophisticated analytics and behavioural models. They can carry out their duties both with and without the ability to “learn,” that is, to progressively improve their performance on their own.
Common uses of Artificial Intelligence in Manufacturing
- Robotics: within robotics, AI can be used to aid the development and application of factory automation, exoskeletons, autonomous vehicles, security systems, environmental monitoring and remote exploration
- Natural Interfaces: the use of AI with natural interfaces includes that relating to speech recognition, natural language, eye and hand gestures, brain-computer interfaces, touch surfaces and Virtual Reality
- Cognitive Systems: smart agents/bots, expert systems, recommendation engines, adaptive learning systems and translation systems are all areas in which AI can be utilised within cognitive systems
Benefits of Artificial Intelligence in Manufacturing
The major benefits of applying AI to industrial sectors include increased innovation, process industrialization and optimization, automation, and enhanced quality, the latter of which frequently produces results more quickly.
Predictive maintenance systems, real-time monitoring systems for early issue detection, advanced cognitive systems for issue investigation, and feedback loops for design teams have all shown to be effective tools for improving quality and lowering direct and indirect costs associated with rework, waste, warranty claims, and recalls.
These and other AI subsets can offer the constant digital thread required for ongoing product and process innovation when they share common digital models of goods and assets and are implemented via a shared collaborative platform.
As a result, quick gains in quality improvement serve as a key lever for faster innovation that leads to exponential gains.
Exploring the Possibilities of AI with 3DEXPERIENCE
With our world-leading solutions, companies can use AI for improved business performance through a tangible connection between the virtual world and the real world, benefiting from the power of the 3DEXPERIENCE platform.
If you would like to find out more about AI and the 3DEXPERIENCE platform, get in touch today.