Kavita Gupta on AI Profiling Potential
Kavita Gupta, the founder of Delta Blockchain Fund, believes that combining AI and blockchain creates a powerful behavioral analysis tool. This integration enables the extraction of valuable insights, anomaly detection, and improved risk management by leveraging AI algorithms and blockchain's transparency and immutability.
Established in 2021 by the World Bank, the International Finance Corporation (IFC), and Kavita Gupta, the Delta Blockchain Fund is at the forefront of the industry. Gupta, who previously served at ConsenSys, a blockchain software development company, recently shared her insights with Bloomberg. She elaborated on how AI algorithms are currently sifting through the immense data available within the blockchain. Gupta highlighted the capabilities of AI algorithms in monitoring user behavior, identifying patterns in their activities, analyzing transaction models, and pinpointing trends characteristic of different actors within the blockchain ecosystem, among others.
The gathered data proves crucial in identifying non-standard behavior, thereby signaling potential fraud or exploits. AI systems establish baselines and scrutinize deviations from these patterns, rapidly flagging suspicious activities and signaling the necessity for corresponding actions. This proactive methodology empowers financial institutions and blockchain platforms to preemptively address potential threats to their systems.
Kavita Gupta: Risk management powered by AI profiling. Source: Youtube
However, as Kavita Gupta points out, the possibilities of AI profiling extend far beyond identifying potential scammers or hackers. Artificial intelligence collects and systematizes information about the behavioral characteristics of people whose accounts have been hacked. By understanding the vulnerabilities in their use of the blockchain, we can improve user engagement, personalize services, optimize processes, and so on.
Behavioral analysis using AI and blockchain is also already being used in marketing and customer service. By studying user behavior and preferences recorded on the blockchain, AI algorithms provide information for targeted marketing campaigns, increasing engagement and customer satisfaction. Support services are beginning to shift towards chatbots and AI-based virtual assistants. Their responses to user queries are highly accurate as they are also based on profiling.
In conclusion, Kavita Gupta talks about the potential of expanding the behavioral analysis to global decision-making processes. By analyzing behavioral data recorded on the blockchain at the level of countries and regions, AI can help suggest possible ways to solve problems in any sphere of human activity and accurately predict the outcomes of actions taken.
