Aspen Technology: Artificial Intelligence, Bird’s Eye View
Adi Pendyala, Senior Director of Market Strategy at Aspen Technology, shared his expert opinion on the development and application of modern technologies based on artificial intelligence (AI) and machine learning, and presented an overall concept and the definition of AI, particularly in terms of its use in resource-intensive industrial companies.
Defining AI is tricky because it can mean different things to different people in different contexts. This is due to the fact that AI is not really an independent technology at all. AI can be most accurately described as a collection of different technologies that together should endow with intellectual abilities a certain system, process, asset or device.
Expanding on this concept, we can say that AI-based business processes allow the system to function intelligently, helping it to capture information, assimilate it, then apply it in practice and thus learn. Developing a system through machine learning or deep learning helps shape its “intelligence” and is incredibly powerful in optimizing performance, accuracy, and quality.
Instead of going overboard in trying to accurately define AI, it makes more sense to view it in terms of the value it can provide to a process, asset, device, or system . Machine learning is what allows a process, asset, device, or system to gain “intelligence.” What distinguishes AI from other forms of automation is the ability to make decisions about further actions based on data analysis, rather than in accordance with a fixed algorithm.
