Summary: As two of the hottest topics in tech, blockchain and artificial intelligence are often spoken about in the same breath. The application of blockchain technology has been praised for its security and transparency, while artificial intelligence has been lauded for its ability to identify patterns and insights in data. What happens when these two cutting-edge ...
As two of the hottest topics in tech, blockchain and artificial intelligence are often spoken about in the same breath. The application of blockchain technology has been praised for its security and transparency, while artificial intelligence has been lauded for its ability to identify patterns and insights in data. What happens when these two cutting-edge technologies are combined? Let's take a closer look at a few key areas where the synergy between blockchain and AI can be particularly impactful.
AI analyzes data to identify patterns and trends that humans might miss. This process is called "Machine Learning." With enough data, an AI system can be trained to make predictions with a high degree of accuracy. For example, an AI system might be able to predict what products a customer is likely to buy based on their past purchase history.
The AI industry has been becoming extremely popular lately, as websites like DALL-E allow the public to access high-quality artificial intelligence systems for the first time. For those who are unaware, DALL-E is a website that allows for the generation of unique art out of a human-given prompt. The results are incredible, and show how far artificial intelligence has come over the past several years.
Blockchain, on the other hand, is a distributed database that allows multiple parties to securely share data and transactions. Because it is tamper-proof and decentralized, blockchain is well-suited for handling sensitive data. For example, a drug company might use blockchain to track the movement of medication through the supply chain from manufacturers to patients. Of course, blockchain is also behind cryptocurrencies like Bitcoin, Ethereum, and Solana, and the backbone for Web3.
One way for blockchain and AI to work together requires that data must first be fed into a blockchain. Once the data is stored on the chain, it can then be analyzed by AI systems. The advantage of this approach is that it makes data more trustworthy since it cannot be altered after being entered into the blockchain. This makes blockchain an ideal platform for storing data used for training AI systems in a standard manner.
Blockchain and AI can also be used together to detect fraud. The immutable nature of blockchain means that data stored on the platform cannot be altered, making it an ideal platform for storing financial data. This data can then be analyzed by AI algorithms to identify patterns or anomalies that could indicate fraud. For the more entrepreneurial-minded, it could also be used to make trading bots or other profitable tools.
One other area where blockchain and AI can work together is in the healthcare industry. The use of blockchain in healthcare can help to create a secure and tamper-proof environment for storing patient data, while AI can be used to analyze this data to identify trends and improve patient outcomes.
There are many companies working at the intersection of blockchain and AI. IBM has been working on developing enterprise-grade blockchain solutions for businesses across a wide variety of industries. The company has also been active in developing open source standards for blockchain technology. In addition, IBM has been incorporating AI into its Watson platform to help businesses make sense of large amounts of data. There could potentially be some synergy between these two plays.
Blockchain and artificial intelligence are two of the most exciting technologies in existence today. At first glance, it may appear that these industries have nothing in common. However, when you understand how they work together, you can see how they can complement each other nicely. By feeding data into a blockchain, you can create a tamper-proof database that can be used to train AI systems. Look for this trend to continue as more businesses realize the benefits of combining these two cutting-edge technologies.
By Lincoln Murr