Unlike traditional artificial intelligence (AI) tools, agentic AI can reason and act independently.
This makes it ideal for public sector use cases where constant human oversight isn’t feasible — emerging as the next leap in public sector innovation.
Denodo’s Director of Product Management for APAC, Felix Liao, believes that AI-based automation and augmentation have a crucial role to play in driving transformational changes for the public sector which is often under-resourced and works under a high-pressure environment to deliver results quickly.
Apart from data quality, discussions around AI-ready data must include modernisation of data infrastructure by public sector organisations, says Liao, noting that this was the way forward to scale and succeed in the use of AI.
Denodo’s foundations for the agentic AI future
Liao adds that many public agencies are still running on complex, siloed, and slow data architectures that cannot support the development of robust AI applications.
In particular, he notes that heterogenous data environments posed a challenge for AI developments as there was a need for an integrated view of data to interpret and act effectively.
For this reason, “modernisation efforts should include a flexible and adaptable data architecture, data products focused on a semantic layer, and a robust and scalable data security layer that covers all data repositories.”
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Responding to the need for on-demand real-time data access for AI agents to work efficiently, Denodo’s logical data architecture enables organisations to access and integrate data without physically moving or replicating it – no matter where the data resides.
The flexibility of accessing data across the entire data environment allows AI applications to absorb business knowledge and critical context for more relevant and accurate outputs.
Liao highlights that a logical AI-ready data foundation would reduce infrastructure costs, minimise data latency, and accelerate time-to-insight while ensuring scalability across departments and use cases.
Additionally, Denodo’s universal semantic layer helps AI agents better understand the organisation and reduce hallucinations as it translates raw technical data into context-specific actions for the organisation.
Rapid integration
Liao adds that Denodo’s focus on a logical approach to data integration reduces the time required to develop and deploy AI applications, thereby enabling rapid data integration and enhanced agility.
This would allow government agencies to maintain a high performance and retain public trust while expanding their AI applications according to broader needs.
He explains that Denodo’s platform supports the complex and growing data volumes of public sector projects with flexibility, even as they continue to innovate while delivering uninterrupted services of the highest quality.
“The robust and flexible architecture supports seamless scalability, so that AI applications can evolve alongside the changing demands of public service.”
Moreover, Denodo’s streamlined data integration process would allow government agencies to rapidly experiment and respond to new challenges and opportunities in AI development, according to Liao.
Currently, Denodo is collaborating with the health sector across several regions in exploring the potential for deploying AI agents to expedite processes in the face of constrained resources.
Built-in governance
Public sector agencies handle massive volumes of sensitive data which makes responsible governance non-negotiable.
Liao shares that Denodo prioritises transparency and compliance by integrating robust governance frameworks that provide auditability and lineage.
For example, agencies can trace which data was accessed, and when, by both humans and AI applications — a key requirement for explainable AI.
“We believe that AI and intelligent agents have the potential to fundamentally transform government service delivery, thereby enhancing the quality of life for the citizens they serve.”
With built-in governance, the public sector can leverage on AI deployment responsibly to optimise processes and obtain reliable outcomes.
“By partnering closely with public sector organisations on their AI journey, we want to support their ultimate mission of delivering more responsive, effective, and citizen-centred services.”
This transformation, however, needs to be built on a foundation of robust data management to deliver AI-ready data.