Science Applications International Corp (SAIC). has unveiled a strategic partnership with Google Public Sector to propel “AI at the Edge” through the adoption of Google Distributed Cloud. This multi-year collaboration blends SAIC’s deep expertise in delivering advanced tech solutions for defense, intelligence, space, and civilian sectors with Google Cloud’s state-of-the-art AI, machine learning, and cloud-native capabilities.

With Google Distributed Cloud serving as the preferred solution, this alliance aims to revolutionize edge computing by enabling:

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  • Tactical edge performance – The partnership addresses mission-specific needs like ultra-low latency, high-bandwidth communication, data residency, ruggedized hardware, and strict data confidentiality compliance.
  • Secure and scalable AI deployments – It ensures continuous access to mission-critical applications, even in disconnected or remote environments.
  • Faster decision-making – AI tools will analyze real-time data on the spot, helping teams make quicker, smarter choices and drive better results in day-to-day operations.

Thanks to its role as a premier mission integrator, SAIC brings the technical know-how and resources necessary to seamlessly connect existing systems with emerging technologies. Moreover, SAIC is among the first system integrators to bring Google Distributed Cloud to market, strengthening its ability to directly support critical national missions.

This partnership empowers government agencies to:

  • Deploy AI at the Edge: Analyze and act on data closer to its source using Google’s robust infrastructure, even in isolated or degraded network conditions.
  • Optimize operations: AI-driven tools will automate critical functions, enhancing agility and efficiency.
  • Boost security and compliance: The secure architecture of Google Cloud ensures that sensitive data remains protected while meeting regulatory standards.
  • Fuel innovation: Joint development initiatives will deliver tailored AI solutions that address specific public sector challenges.

Training and Certification Initiative

In a move to support the partnership’s long-term goals, SAIC has committed to training 1,000 team members in Google Cloud technologies. To accelerate this process, Google Cloud will provide a dedicated Learning Consultant, ensuring that SAIC personnel gain the necessary certifications to deliver high-impact solutions.

“We are thrilled to collaborate with Google Public Sector to bring AI at the Edge to life for critical missions,” said Lauren Knausenberger, EVP and Chief Innovation Officer at SAIC. “By integrating our domain expertise with Google’s AI innovation, we’re ready to deliver secure and scalable solutions for our federal clients.”

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“This alliance accelerates AI adoption across the public sector,” added Jan Niemiec, Managing Director for National Security at Google Public Sector. “Together, we’ll empower agencies with transformative technology to enhance mission performance and efficiency.”

FAQs

1. What is “AI at the Edge,” and why is it important for government agencies?

“AI at the Edge” means running artificial intelligence applications directly on local devices or close to where the data is generated, instead of sending everything to distant, centralized data centers. This minimizes latency and ensures real-time decision-making vital for defense, emergency response, and intelligence operations.

2. How does Google Distributed Cloud support AI at the Edge?

Google Distributed Cloud enables organizations to run AI and machine learning workloads near the source of their data, reducing latency and improving performance. It offers flexible deployment across on-premise, edge locations, or within remote environments all while maintaining security, compliance, and scalability.

3. How will SAIC’s team be trained to work with Google Cloud solutions?

SAIC plans to certify 1,000 employees in Google Cloud over the span of this alliance. Google will assign a Learning Consultant to accelerate training and ensure the team is equipped with the latest skills in cloud technologies and edge computing.

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