Generative AI: Use cases, Benefits & Challenges
Did you know that by 2027, 30% of manufacturers will use generative AI to increase product development efficiency?
With applications such as DeepFake, generative AI has become a new buzzword. While generative AI is frequently associated with deep fakes and data journalism, the technology is increasingly vital in helping to automate the repetitive processes used in digital image and digital audio correction.
Follow along because this infographic will teach you more about What Generative Ai is, its Use Cases, and its Benefits and Challenges.
To summarize, generative AI is almost any AI system that creates its content, whether text, images, or other media types.
Generative AI tends to expand with more and more applications in a variety of industries, much as other AI streams such as AI domains, such as computer vision, conversational intelligence, content intelligence, and decision support systems.
What are your thoughts on Generative AI, and what security measures will you take? Leave your comments below.
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