- Cloud
- Internet of things
- Blockchain
- Extended Reality
Answer: Cloud
Answer Explanation:
Generative AI is a revolutionary form of artificial intelligence that swiftly generates content in response to prompts. It responds to prompts autonomously using natural language processing, machine learning, and picture recognition, replicating human cognition to solve problems and evolve over time. This cutting-edge technology has the incredible capacity to generate brand-new material instantly. It presents a huge opportunity to accelerate reinvention, offering the potential to reshape every facet of an organization.
Generative AI requires large amounts of data, significant computational power, and scalable infrastructure to function. The most essential technology for effectively using generative AI is cloud computing because it provides scalable computing power necessary for training and running large AI models, vast storage capabilities for the massive datasets required, easy access to pre-built AI services and tools, and flexibility to adjust resources as needed.
Cloud:
Cloud computing provides scalable and flexible computing resources and storage, which are critical for executing complex AI models and managing massive datasets. Generative AI models demand a lot of processing power and storage, which the cloud can easily offer.
Internet of Things:
IoT is useful for gathering data, but generative AI does not require it. Its main objectives are data collection and physical device connectivity. The computing power required for AI processing is not provided by it. Although it is not required for AI to work, it can serve as a source of data.
Blockchain:
Generative AI and blockchain are not directly related. Its main purpose is decentralised, safe record-keeping. The computational resources required for AI are not provided by it. Blockchain is not necessary for generative AI capabilities, although it may be utilised in AI applications for data integrity.
Extended Reality:
Generative AI does not require extended reality, which includes virtual and augmented reality. Extended reality makes use of augmented and virtual reality technology. Although it is not a prerequisite for AI, it is an application area where AI can be utilised. It doesn’t offer the resources or infrastructure required for AI processing.