Agencies that rely on real-time data operations often struggle with how to approach modernization. The urgency is certainly there. AI and other recent technology advances offer new opportunities to meet the growing demand for higher-performing and more agile systems. But the legacy systems are typically built on sprawling, interconnected architectures. Given the mission-critical nature of the services involved, agencies worry about disrupting those workflows and putting operations at risk.
Rather than rip and replace legacy technology, agencies need a way to overcome that complexity. That’s the role of a unified data platform. The platform sits on top of existing systems, encapsulating them within a modern digital nervous system that links everything from 40-year old mainframes to the newest edge sensors, said Jason Henley, Global Head of Product Strategy at TIBCO.
“Agencies need to avoid the mindset of just buying more tools and move toward this idea of a unified platform,” said Henley. “A unified platform can act like connective tissue that handles the heavy lifting of anything from integration and messaging to event processing.”
In this video interview, Henley discusses how agencies can bring more intelligence to their real-time data operations. Topics include:
- The key attributes of a unified data platform
- Using AI to shift from static automation to intelligent orchestration
- Taking an incremental approach to modernizing the data ecosystem
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