As Artificial Intelligence (AI) tools become more mainstream, chemical manufacturers are looking at ways to incorporate AI-driven technologies into their workflows, says Dijam Panigrahi, of GridRaster.
Automation technology using AI can be programmed to complete logical processes for chemical producers and equipment manufacturers.
A large array of technological applications and programs are already available, so what makes AI technology the next best thing? Firstly, it’s flexible. It’s been used in processes as diverse as data mining, targeted marketing and building precision-based financial models.
Secondly, it’s compatible to work with diverse business applications, and structured or unstructured data.
ChatGPT is the latest AI-driven technology which uses natural language processing. It leverages deep learning algorithms, enabling users to converse with chatbots. This advanced system has captured the attention of designers and engineers because it can understand complex questions and provide very accurate answers almost immediately.
Because it was developed with conversational AI capabilities, it can immediately comprehend user queries and generate natural-sounding responses that are tailored to the conversation context. It also has built-in memory capability that stores information from past conversations to better respond to subsequent messages.
However, many projects in vertical industries require more than just the development of text and responses to prompts. That is why designers and engineers are combining the powers of AI tools with other progressive technologies like mixed immersive reality (augmented reality and virtual reality).
Experts are building AI-models like ChatGPT to help create virtual worlds in the metaverse to run simulations and increase productivity/efficiency metrics. More specifically, AI tools like ChatGPT and the metaverse can help create a 3D environment that replicates the real world, and the data used can be harnessed for analysis, running simulations and interacting with data more efficiently.
There are still some limitations with ChatGPT. As an example, when engineers are designing tools or products, AI technologies cannot recognise when physical items move and must be manually told that they are in a different location. However, technology like ChatGPT can significantly assist with coding the virtual 3D world and running simulations. Historically this coding has been done manually, but developer time can be increased ten-fold with AI tools.
Developers writing code will benefit because ChatGPT can create the vast majority of the code, and developers are then left to use resources to debug much less of the code. They can actually spend more time on innovation.
Workers on the manufacturing floor can also better understand the code and language produced by ChatGPT through its natural language ability. As an example, the tools can provide alerts that improve safety standards when entering a hazardous section of the plant floor or when operating heavy equipment. Training and test simulations conducted within metaverse environments will also benefit from increased safety practices.
AI tools will also play a leading role in helping to create code and language used in the development of digital twins – the virtual world where people, consumers, workers all gather to communicate, collaborate, and share through a virtual presence on any device. This means companies will build immersive virtual spaces, allowing employees to virtually collaborate using their digital twin through chats, emails, video calls and even face-to-face meetings.
The power of simulation will be a game-changer for enterprises and businesses throughout the metaverse in a variety of industries, for example, improving overall production efficiency for manufacturers, and increasing accuracy for consumer-packaged goods companies.
Industry is poised to leverage virtual simulation to make better business decisions and generate the greatest return on investment. Here are some more examples of potential benefits:
Automation support: Engineers will have proximity to leading technology that supports automation processes and reduces time spent on manual tasks, like collecting data, preparing reports, and monitoring industry trends.
Task planning and management: This is particularly critical for engineers since it requires a vast amount of organisation, discipline, and time management to complete tasks effectively. Technology like ChatGPT can improve the process by enabling an intuitive platform for task planning and management.
Knowledge sharing: Engineers and their teams will be able to increase collaboration and efficiency in the workplace since advanced tech tools allow for streamlined knowledge sharing.
Error detection: This is an area that has always been a big issue for engineers as they continue to seek the most efficient ways to identify errors, which lead to time and cost savings. The use of natural language processing will now be leveraged to visualise errors in text-based data faster than ever before, critical in code review, error analysis, or debugging.
Security and privacy: This is one of the biggest issues facing today’s world. Since metaverse environments have the digital twin as an integral part, the metaverse will offer much richer data. Security and privacy in metaverse environments cannot be solved by traditional security tools. However, technologies like AR/VR leveraging leading AI tools are better equipped to handle security and privacy related to digital twins.
Engineers, designers and manufacturers will continue to leverage virtual worlds built with metaverse environments because they will be important for all businesses, enterprises and consumers. Businesses will see an increase in productivity like never before.