To be effective, AI models need live data constantly flowing between applications, says Confluent's Jay Kreps

BENGALURU : Jay Kreps, co-founder and chief executive of Confluent Inc., is betting big time on powering global enterprises with real-time streaming data solutions that can help their artificial intelligence models provide accurate, timely decisions in areas like fraud detection, recommendations, and automation. Confluent enables “data in motion" through Apache Kafka—a popular open-source platform that was co-created by Kreps himself. “AI models trained on general internet knowledge lack company-specific insights—unlocking that data is key," he explained. For instance, a lot of companies' data “is spread over 1,000 different databases and applications and SaaS systems", which makes integration with these models a “big challenge".