Public sector modernisation efforts accelerate amid infrastructure challenges: Report
New Delhi, July 16
India's Public sector organisations are accelerating efforts to modernise their technology infrastructure as artificial intelligence adoption gathers pace, but infrastructure readiness, governance and security challenges continue to slow large-scale deployment, according to the 8th Annual Nutanix Public Sector Cloud Index Report.
The report said governments and educational institutions are increasingly embedding AI into mission-critical functions such as service delivery, fraud detection, decision-making and resource management, while adopting containerisation and hybrid cloud infrastructure to support growing AI workloads.
"The goals of improved efficiency, better citizen experience, and transformational capabilities are accelerating AI adoption in the public sector," the report said. It added that organisations are "increasingly embedding AI into mission-critical operations," but warned that "significant challenges remain, however, including infrastructure readiness, workforce capabilities, shadow AI, governance and regulatory compliance."
According to the report, public sector organisations are increasingly turning to containers to modernise infrastructure as they prepare for distributed data environments, cyber threats and AI-driven innovation.
"As government and education organizations prepare for a future shaped by distributed data environments, escalating cyberattacks, mission-critical applications at the edge, and AI-driven innovation, they are increasingly turning to containers to modernize their infrastructure," the report said. It added that this "reflects a broader modernization effort: balancing innovation with security, compliance, sovereignty, and operational resilience."
The survey found that 87 per cent of public sector IT leaders expect application containerisation to increase over the next three years, while 86 per cent believe AI is accelerating container adoption. It also said 83 per cent are already building new applications using containers.
Despite this momentum, the report said many organisations are still not equipped to support AI at scale.
"Across public sector organizations, the mandate to deploy AI applications is often coming from leadership, driven by modernization goals, efficiency mandates, and mission impact. However, these directives do not always account for what is required to operationalize AI at scale, particularly the infrastructure needed to support it," it said. Nearly three-quarters of respondents said their current infrastructure is not fully ready for on-premises AI workloads.
The report also highlighted governance risks, with 96 per cent of IT leaders reporting AI applications being implemented outside IT functions and 91 per cent saying such use creates business and mission risk. Meanwhile, 84 per cent said organisational silos make technology initiatives harder to execute.
Summing up the findings, the report said, "In the age of AI, public sector IT leaders face a dual mandate: advancing mission outcomes while safeguarding sensitive data and intellectual property," adding that organisations will need the right infrastructure to support responsible, secure and scalable AI deployment across hybrid environments.
— ANI
Reader Comments
The 96% stat about shadow AI is very concerning. We need clear policies before everything goes haywire. But kudos to the leadership pushing this modernization - better late than never! Just please don't end up like those flashy portals that crash every Monday morning. 😅
As someone who's worked with Indian government IT systems, infrastructure readiness is the real elephant in the room. We can have all the policies in the world, but if the ground-level power supply and network connectivity aren't reliable, all this AI talk is just hot air. Need to fix basics first.
Interesting report! But I'm skeptical about the 87% expecting containerization to increase. Most government departments are still running legacy systems from the 90s! 😂 The intention is there but execution will be messy unless we see proper public-private partnerships and simplified procurement processes.
Honestly, the governance concerns are valid. In India, we also have to consider data sovereignty and the Digital Personal Data Protection Act compliance. Rushing into AI without a robust framework could lead to major privacy issues. The report is right - balance between innovation and security is absolutely critical.
This is a step in right direction but we need to ensure tier-2 and tier-3 cities are also brought into this modernization drive. AI shouldn't be just for Delhi and Bengaluru. The real challenge is making these technologies work in places where even basic digital infrastructure is still catching up. 🇮🇳
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