How and Why Companies Create Digital Replicas of Real-life Objects. Five Examples of Using Digital Twins in Different Industries

Sometimes, you have to deal with complex or unique entities that exist only in a single copy. Suppose you build an experimental wind turbine that has the potential to revolutionize green energy. The next step is to determine how well different parts interact with each other and find possible ways of improving their efficiency. Say you have some ideas on improving your invention, but building another model to validate your ideas is way too expensive. What could be the best way to solve this problem?
It is quite a significant issue for many industries that can’t follow the trial-and-error method. For example, in architecture and construction, you can’t rebuild cities multiple times before you find the optimal infrastructure model, and doctors don’t have endless attempts to cure their patients. In these cases, digital twins may become pretty helpful.
Mokslas ir technologijosDaugiau pranešimų iš Sergey Laptick
Peržiūrėti įrašus
How Generative AI Chatbots Enhance Business Operations
Sergey Laptick · Artificial intelligence has brought many significant innovations lately. Generative #AI (GenAI) chatbots are at the forefront of this revolution as they don't require special skills, are easy to access, and offer sophisticated human-like interactions. Examples include IBM Watson ...

Overviewing Main Principles and Upcoming Trends of DevOps
Sergey Laptick · The app's source code is where business ideas find their embodiment. However, for the end users to try the features, the code must go a long way from the idea to landing on the server. One of the possible solutions that allow development companies to fill the gap between writing ...

Data Aggregation Techniques for Effective Data Analysis. Reviewing Key Concepts
Sergey Laptick · Daily interactions between businesses and customers generate tons of data. It can help companies shift from intuitive to data-driven decision-making when collected and handled right. However, vast raw data datasets are uneasy and barely possible to analyze. · Luckily, many techni ...
Straipsniai iš Sergey Laptick
Peržiūrėti tinklaraštįGenerative AI is already transforming the software development industry. However, it falls short of ...
Komentarai