Why real-time data is key for enterprise AI
Article excerpt
Why real-time data is key for enterprise AI. Moving AI from experiment to production requires high-quality, real-time data streaming. Australia tech leaders from Confluent, Bendigo Bank, Telstra, and Coles share how they are turning systems of record into systems of action. Published: 13 Mar 2026 3:03 Organisations are investing heavily to harness artificial intelligence (AI) to solve business problems, but putting the technology into production presents significant data quality and availability challenges. This is especially true for applications requiring real-time data, such as fraud detection, according to Confluent's chief technology officer (CTO) Stephen Deasy. Speaking to Computer Weekly on the sidelines of the Confluent Data Streaming World Tour in Melbourne, Deasy noted that organisations are moving beyond experiments and trials this year. They are taking what they have learned about AI and applying it in high-impact areas to deliver customer value, leveraging the latest streamed data to achieve their goals. Locally, there is a move to build on existing systems of record and engagement to create "systems of action," which require much fresher data, added Greg Taylor, senior vice-president and Asia-Pacific general manager at Confluent. What's needed is to capture data where it is created and then process it in real time so it can be used to inform action, such...
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Importantly, Confluent Flink integrated seamlessly with Bendigo's continuous integration and continuous deployment (CI/CD) patterns, creating a "well-orchestrated deployment pipeline".
