Whether we are prepared or not, we are now entering the fifth industrial revolution or Industry 5.0, an evolve industrial environment where people work with smart machines. Smart machine refers to devices that are embedded with cognitive technologies such as artificial intelligence (AI) and machine learning (ML). In the recent years, generative AI is among of the AI technologies being highlighted as an important tool that should be adopted by organisations. From healthcare, manufacturing, media and entertainment, even banking industry, Generative AI had brought beneficial contributions to many industries. What are the benefits of Generative AI?
In healthcare, the most notable benefits of Generative AI include the application of Generative adversarial network (GAN) in early detection of brain tumor and the use of GAN and variational autoencoders for drug discovery. With Generative AI, different angles of CT scan image achieved by GAN that visualises the possible expansion of allows medical practitioners to provide patience with a more effective treatment plan. Generative AI had shown its potential in reducing cost and time in drug discovery. Recently, generative AI is used in a research to COVID-19 antiviral design conducted by IBM.
In manufacturing, Generative AI is applied in producing synthetic chemical materials similar to that of the authentic material. The application in Generative Ai such as Semantic-Image-to-Photo Conversion can be used in generating ideas from sketches into real image. This helps reduce time to market and improve user experience as the product model can be visualised even before it is manufactured.
In media and entertainment, Generative AI is beneficial in image processing and film restoration. Through generative AI, photo and video images can be improved their resolution through noise removal, increase sharpness and colour enhancement. In certain sensitive cases of news reports, Generative AI can be used to create Avatar to protect the identity of the interviewees.
In banking industry, application of Generative AI helps improve data protection. This is achieved through the creation of synthetic data sets. The synthetic data sets act as data privacy barriers where they resembles the real data but do not have personal identified data of individual.
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