AWS Public Sector Blog

SEPTEMBER 14, 2023

billion) in cloud infrastructure in India by 2030 , the AWS Asia-Pacific (Hyderabad) Region is the second AWS Region in India to be fully empaneled by MeitY. Addressing customer needs and driving new solutions through partners The Department of Information Technology, Electronics, and Communication (ITE&C Dept.)

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AWS Public Sector Blog

JUNE 24, 2024

The Canadian government’s Information and Communications Technology Council (ICTC) program Beyond the Cloud trains people and upskills employees for essential roles such as cloud architects, engineers, and administrators. The DGA goal and measurement support the Saudi 2030 Vision.

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AWS Public Sector Blog

SEPTEMBER 20, 2022

These positions are associated with operations and activities supporting the new Region as well as skilled technical and information and communications technology (ICT) positions in the fields of telecommunications, software development, maintenance, electricity generation, and data center operations.

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AWS Public Sector Blog

FEBRUARY 21, 2025

By 2030, NATO envisions a multi-domain operations (MDO) -enabled alliance with interoperability, real-time analytics, and data-driven decision making. Shared data repositories and communication platforms can provide allies with the same real-time information, accelerating decision-making in response to emerging threats.

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AWS Public Sector Blog

NOVEMBER 21, 2024

National security, defence, and law enforcement organizations want to use the cloud so they can share data and communicate in near-real time with their allies to counteract evolving threats to their citizens. Our future is one that realises data as a strategic asset, that enables us to move faster than our adversaries.

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AWS Public Sector Blog

FEBRUARY 28, 2025

Business leaders dealing with sensitive or regulated data will find this post invaluable because it demonstrates a proven approach to using the power of AI while maintaining strict data privacy and security standards. Unlocking the full potential of ML algorithms depends on access to high-quality data, both in terms of diversity and volume.

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