3 Takeaways for Public Sector IT Leaders from Pure Accelerate 2026

Government and education leaders are being asked to modernize without losing control. They have to keep critical services online, help lean teams move faster in day-to-day operations, and prepare their environments for AI and data-driven decision-making without adding more risk or complexity.

Those priorities came through clearly across the public sector stories highlighted at Pure Accelerate 2026, especially in sessions featuring Spring Branch Independent School District, the Louisiana Office of Technology Services, and the Mississippi Department of Revenue. These organizations range from a large K-12 school district serving more than 31,000 students in Texas, to a statewide technology operations organization supporting more than 24 Louisiana agencies, to a Mississippi revenue agency helping support tax and treasury operations.

Across those stories, three themes stood out. First, resilience has to come before modernization can scale. Second, operational simplicity matters because lean teams need to move faster with less manual work. Third, AI becomes more practical when it sits on top of a more standardized, governed data foundation.

Taken together, that is a modernization path government and education IT leaders can actually sustain.

Government modernization starts with resilience

If there was one clear message from the government and education sessions at Pure Accelerate, it was this: Resilience is no longer a side conversation. It’s the prerequisite for everything else.

Why does that matter for government and education leaders? Because resilience is not just about uptime. For a school district, it’s about continuity of learning, continuity of operations, and trust with students, staff, and families. It’s also about using limited taxpayer and bond dollars wisely so teams can spend less time troubleshooting infrastructure and more time supporting the mission.

The lesson is simple: Agencies cannot build confidently toward AI, analytics, or broader modernization if they’re still unsure how they’ll recover when something breaks.

Faster government IT operations matter

Another theme from this year’s Pure Accelerate was operational speed. Government IT teams are supporting growing data volumes, aging environments, and rising service expectations, often without meaningful increases in staff or budget. In that environment, modernization only works if it removes manual effort instead of adding to it.

That’s why the Louisiana Office of Technology Services story stands out. Supporting statewide databases and mission-critical applications across more than 24 agencies in a state of about 4.6 million residents, the organization operates at the kind of scale where operational drag quickly becomes a public-service issue. During Pure Accelerate, Adrian Erwin, IT Statewide Director of Database Operations, shared how the Louisiana Office of Technology Services used Purity snapshots combined with custom automation from Everpure Advanced Services to reduce a large SQL Server refresh from more than 16 hours to near-instantaneous. The broader operational story is just as important: The team has onboarded 351 of 450 SQL Server instances to Azure Arc and cut reporting time from 90 minutes to 20 seconds.

That kind of improvement matters in government because it gives lean teams time back. It reduces repetitive maintenance, shortens wait times for internal stakeholders, and creates more room for higher-value work. It also reinforces a harder-won lesson from the agency’s own history: Cyber resilience is not separate from database operations. Recovery design, backup control, and day-to-day database administration have to work together.

For government and education leaders, that is the real operational bar. Faster is valuable, but faster with better control is what actually changes outcomes.

AI outcomes depend on a simpler, more governed foundation

Pure Accelerate also made clear that AI in government and education will not scale on top of fragmented operations or brittle infrastructure. Agencies do not need more AI hype. They need a practical way around the AI slog: simplify operations, standardize how infrastructure is managed, and create a cleaner control layer before expecting AI initiatives to deliver repeatable value.

Watch the interview with Mike Dehaan, CTO of the Mississippi Department of Revenue

That’s where the Mississippi Department of Revenue story shines. The agency supports tax and treasury operations for the state’s approximately 3 million residents. At Pure Accelerate, Chief Technology Officer Mike Dehaan shared that the agency saw 1,800% growth in storage requirements and used Everpure Fusion^™ to connect its array fleet under a single management plane. Everpure Fusion presets allowed senior engineers to encode trusted templates for specific workloads, helping standardize provisioning and reduce inconsistency across the environment. The payoff was as much operational as it was technical: Junior staff could provision with more confidence while senior engineers spent more time on strategy.

Everpure Fusion is not a separate platform to buy and manage. It’s a built-in feature of Purity, not a new product. It provides a native control plane for fleet management, automation, governance, and policy-driven operations. That distinction matters for government and education audiences. It helps cut through AI fatigue and keeps the conversation grounded in operational outcomes, not abstract platform language.

It also matters because, in a government agency like a department of revenue, the data being governed is far from generic. The Mississippi Department of Revenue supports complex treasury operations and data-heavy applications that include tax processing. When leaders talk about curating and governing data for AI, they’re dealing with highly sensitive data and significant mission impact. Standardization, control, and auditability are not optional. They’re part of what makes AI usable in the first place.

What government and education leaders should take from this

For federal leaders, the message is that data readiness and mission readiness are tightly connected. Agencies cannot pursue AI ambitions on top of infrastructure that is difficult to recover, operate, or standardize.

For education leaders, the Spring Branch Independent School District story is a reminder that resilience is directly tied to continuity of learning and community trust. When infrastructure fails, the impact is immediate and visible.

For state and local leaders, the Louisiana Office of Technology Services and Mississippi Department of Revenue stories reinforce a practical modernization playbook: reduce repetitive work, simplify control, and improve predictability so small teams can do more with the people and budget they already have.

Building toward AI without the shortcuts

The strongest government and education stories at Pure Accelerate were not about isolated technology projects. They were about building the right sequence of capabilities. First, make sure infrastructure can survive disruption. Next, remove the operational drag that consumes staff time. Then, build toward AI and automation from a position of more control.

That is the real government and education modernization lesson coming out of Pure Accelerate 2026: The path to AI at scale does not begin with more complexity. It begins with a stronger, simpler, and more resilient data foundation.