From wind farm optimisation to climate management systems, the next-generation of autonomous control requires inspired innovation in order to produce the significant improvements required in efficiency and quality. A major part of this is Artificial intelligence (AI) tech, which is shaping up to be the next major economic growth with an estimated $15.7 trillion addition to the global GDP due to AI-driven business practices.
The focus is on enabling engineers to easily leverage Artificial Intelligence powered automation at scale into their most dynamic systems and processes, thereby improving production efficiency, safety and availability without relying on deep data science understanding. Until about two, three years back, an experienced data scientist was an absolute requirement to be able to leverage the potential of all new technologies. But with tools like, Microsoft’s Bonsai we are now able to empower the subject matter experts to leverage the power of these technologies without having to learn the hard core programming and mathematics. This is what we call low-code AI. You don't have to be an expert at coding to be able to program the artificial intelligence. And you can transfer your knowledge to the AI within a simplified framework.
Essentially with Project Bonsai we are giving people the starting point and capability to create AI solutions with a basic understanding of data science, but significant domain knowledge around the use case to be solved. Intelligent technology and human ingenuity, combined with analytics and industry expertise, applied at the core of business, is the key to creating a future-ready industry. Data-driven processes need domain expertise to understand and act on the opportunities that machines discover in real-time.
Wood’s cross- industry expertise is particularly helpful in identifying different use cases and creating solutions that are specific to our clients’ challenges. As their automation experts, we are able to look at these challenges and see the applicability of AI and can bring the right partners together to deliver solutions.
COVID-19 has accelerated out of the box thinking to enhance operations in a post-pandemic world. With increased appetite for artificial intelligence (or AI) and cloud collaboration, autonomous systems are projected to grow to more than 800 million in operation by 2025.
There are areas where it's worth making an investment in AI based control solution, essentially in places where control is hard because the system is so dynamic- which action do I prioritise? The advantage of AI based control is that it can help you make a decision. You may need a simulation that can represent with a reasonable level of accuracy, the operation of the plant, or the process, so you use that information to then train the AI technology to understand the various parameters that influence the whole operation.
AI and especially low code AI for those without coding backgrounds, is going to transform not only companies, but the relationship between people and technology. This will empower everyone to get value from data.