Artificial intelligence (AI) and blockchain are two critical and rapidly evolving modern technologies. AI is a branch of computer science that allows machines to perform tasks that previously required human intelligence. In contrast, blockchain is a decentralized ledger that allows for the secure and transparent storage and protection of data. Although both technologies serve distinct functions, when combined, they have the potential to transform our lifestyles and work practices. Let us begin by learning about each of them and how blockchain and AI complement each other.
Blockchain technology is a decentralized digital ledger or digital book that securely and transparently collects and stores information. It functions similarly to a chain of blocks, with each block containing a set of data linked to the previous block in the chain, resulting in a permanent record that cannot be deleted or altered.
With the aid of artificial intelligence (AI), machines are now capable of learning, solving problems, and making decisions-tasks that would typically need human intelligence.
Consider Siri or Alexa, the virtual assistants we use every day. It is nothing more than AI technology. These assistants are capable of understanding and responding to human voice commands, as well as learning and adapting to user preferences over time. They analyze data using machine learning algorithms and make predictions or recommendations without the need for human intervention.
While blockchain has proven to be incredibly adaptable and is revolutionizing data encryption and utilization, AI has been crucial in advancing businesses and driving growth. Despite their differences, they can work together to change the world in different ways.
Businesses can improve their supply chains by combining blockchain and artificial intelligence. Blockchain is similar to a digital ledger in that it can track every step of the supply chain, from raw materials to the finished product. This can assist businesses in keeping track of their inventory and ensuring that sustainable and ethical practices are used throughout the manufacturing process.
The data can then be analyzed by AI to identify areas where the supply chain could be improved. For instance, AI may identify a supplier who consistently delivers raw materials late, causing production delays. Businesses can improve their efficiency and reduce waste by addressing this issue, which benefits everyone involved.
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