ThunderCat Technology’s 2025 Modernization Movement, in partnership with Federal News Network, brought together leaders from across the public and private sectors. As part of this initiative, ThunderCat Technology teamed up with Red Hat, Dell Technologies, and AWS to explore how federal agencies were modernizing for a new era, one defined by artificial intelligence, smarter infrastructure, and strategic collaboration. Securing Tomorrow’s Infrastructure: AI, Strategy, and Collaboration brought together insights from federal, academic, and industry leaders through a ThunderCat-hosted webinar and a series of in-depth articles. Together, these conversations uncovered how agencies had turned innovation into action, bridged legacy systems, accelerated AI deployment, and built the foundation for mission success in an evolving digital landscape.
Securing Tomorrow’s Infrastructure: AI, Strategy, and Collaboration Webinar
Federal agencies are navigating an increasingly complex IT environment—balancing modernization, security, and mission delivery. With threats evolving and demands for efficiency growing, how can leaders secure and strengthen their infrastructure today while preparing for the opportunities of tomorrow?
Join us for this timely webinar as government and industry experts discuss how agencies can leverage AI, expand data center capacity, modernize cybersecurity, and foster collaboration across networks. Hear practical strategies that directly impact agency funding, workforce, and mission effectiveness.
Key Discussion Topics
-
The current IT landscape: infrastructure threats and challenges
-
The future of IT infrastructure: AI applications, data center capacity, cybersecurity, and network collaboration
-
Practical strategies and best practices to modernize infrastructure securely
-
Impacts on agency funding, staff readiness, and mission outcomes
Click here to register for the webinar.
Click here to view the webinar insights.
AI is a journey, not a product — Interview with ThunderCat CTO, Kurt Steege
Artificial intelligence is transforming federal missions—but success requires more than just enthusiasm. ThunderCat Technology helps agencies turn AI ambition into reality by strengthening data foundations, modernizing infrastructure, and preparing people for the journey ahead.
Click here to view the interview insights.
Building AI that works: Red Hat shares how ecosystem approach can be ‘the glue’ in federal innovation
As federal agencies race to adopt artificial intelligence, they face a complex landscape of legacy systems, emerging technologies and mission-critical demands.
Kush Gupta, solution architect at Red Hat, describes his role as “the glue” that connects disparate systems, partners and platforms to help agencies build AI solutions that are secure, scalable and mission-ready.
Red Hat’s approach centers on meeting agencies where they are, not where the tech world wants them to be. That philosophy underpins everything, from containerization and open source strategy to model governance and compliance and automation.
Click here to view the interview insights.
From curiosity to capability: How Dell helps federal agencies build AI that works
Artificial intelligence is a present-day imperative and no longer a futuristic concept for federal agencies. But for many government leaders, the journey from curiosity to capability is anything but straightforward. JP Marcelino, Federal Joint Solutions Manager at Dell Technologies, sees this challenge daily. His mission is to help agencies turn AI ambition into operational reality.
At the heart of Dell’s approach is a framework Marcelino calls the “AI Factory,” a structured, four-part model that guides agencies through use case development, data strategy, infrastructure readiness, and partner collaboration. It goes beyond the checklist to create a philosophy for building AI that works.
Click here to view the interview insights.
From pilots to production: How federal agencies are scaling AI for mission success — AWS
Artificial intelligence is no longer optional for federal agencies. It’s essential to mission success.
But scaling AI is not just about adding more algorithms. It’s about building sustainable and secure infrastructure, managing data governance and compliance and training personnel to adapt to a rapidly evolving landscape.
“Agencies are moving from experimentation to execution because the mission demands it,” Sanjeev Pulapaka, principal solutions architect at Amazon Web Services (AWS), said.