A perfect match: Nav Kumar talks about the intersection of AI and blockchain at CoinGeek Backstage
Although artificial intelligence (AI) and blockchain are competing technologies against each other, they complement and improve each other, says Nav Kumar. In an interview with CoinGeek Backstage, Kumar detailed the intersection of his two technologies and the new use cases that arise from their fusion.
Kumar was one of the presenters at AI Forge’s Introduction to AI and Blockchain Masterclass in London. After the event, Becky Liggero caught up with him to discuss his company, Astroware AI, his journey in blockchain, and where he fits into AI.
Astroware AI is building a community CRM similar to “HubSpot for communities,” he told CoinGeek Backstage. This solution targets community-driven marketing and addresses the significant fragmentation of communities on dozens of platforms.
Kumar previously spent more than 14 years at Oracle, where he did much of the predictive work that laid the foundation for today’s advances in AI. He currently serves as a mentor at Outlier Ventures, one of his largest Web3 accelerators in the world.
His diverse background has allowed him to identify problems in different fields and how technology can solve them.
“With AI and blockchain, we are creating an industrial revolution moment in knowledge work,” he said.
One area where AI could impact blockchain is the development of smart contracts. Currently, developers approach smart contracts on a case-by-case basis, leaving a lot of room for errors and mismanagement. AI can be used to automate the creation of smart contracts.
However, researchers have found that AI is not ready to completely replace developers in the blockchain world. They recommend using AI to automate some tasks, but caution against relying on technology for the entire process. A study by Salus Security
We conclude that ChatGPT is still unable to detect vulnerabilities in smart contracts.
On the contrary, blockchain is essential to the future of AI. Since AI is completely dependent on data for training, blockchain could potentially be used to authenticate data. Furthermore, through digital identity, the data producer can fully own his data and receive rewards whenever the data is used to train his AI through microtransactions.
Blockchain “gives you control over your data and allows AI to process it in a way that protects your privacy,” Kumar added.
For artificial intelligence (AI) to function properly within the law and succeed in the face of growing challenges, it must integrate enterprise blockchain systems that ensure the quality and ownership of data input. This allows you to keep your data safe while also guaranteeing immutability. of data. To learn more about why enterprise blockchain is the backbone of AI, check out CoinGeek’s coverage of this emerging technology.
Watch: How blockchain keeps AI honest
New to blockchain? Check out CoinGeek’s Blockchain for Beginners section. This is the ultimate resource guide to learn more about blockchain technology.
