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中国新的汽车GNSS技术标准：准备进行合规性测试

CRPA Antennas Explained: Choosing and Testing the Best Anti-Jam Solutions for GPS/GNSS Resilience

GPS spoofing in Korea highlights a growing threat to commercial aviation

NAVWAR Challenges: What Developers Need to Know for Resilient PNT Systems

Simulate alternative, regional and lunar PNT signals with S-band support in PNT X

Gain tactical advantage with 3D NAVWAR simulation in the lab

Bring new realism to NAVWAR testing with continuous dynamic range in PNT X

Unlocking Precision: A Conversation with Adam Price on Spirent’s PNT X

Build ultra-realistic PNT test scenarios with 3D terrain modelling in PNT X

SimIQ Spatial Awareness: Turn I/Q files into realistic signals with PNT X

5G-Advanced Makes AI Moves at MWC Shanghai 2024

Beyond GNSS: Simulating alternative and complementary PNT signals in the lab

Inside the world’s most advanced PNT simulator: 8 key features of PNT X

Introducing PNT X: Our most powerful and flexible PNT simulator ever

Modern Lab Practices in GNSS Test Simulation: Enhancing Efficiency and Collaboration

Vehicle PNT testing for SAE Level 3 and above: What to look for in a GNSS simulator

Testing Infinity: PNT testing for high-performance developers

A giant step for GNSS: Developing PNT test services for a new era of lunar exploration

Hardware-in-the-loop: faithful reproduction of motion data is key to testing

What Is NAVWAR and How Does it Differ from Electronic Warfare?

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Automation Strategies to Avoid Finance’s Next Major Meltdown

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Aniket Khosla 

我们正处于几十年来高速以太网（HSE）最令人兴奋且影响最为深远的时期之一。新的年度影响力报告分享了塑造数据中心网络和高速以太网市场的最新趋势、需求和发展。

报告：追踪转型中的AI驱动高速以太网市场

Telecom is eager to explore every aspect of AI-powered innovation and transformation. Stakeholders are seeking a competitive edge, new revenues, more efficient network operations, and reduced costs.

Status check on how AI is powering network testing and assurance. Learn about testing’s role across the AI lifecycle, and the path appearing toward AI autonomous networking. 

How AI Is Powering Network Testing and Assurance

Status Check: The Latest on How AI Is Powering Network Testing and Assurance

AI and automation are already reducing RAN energy consumption and providing partial autonomy for network operations. Even bigger impacts are on the horizon.

Early Telecom AI Progress Points to Real Results 

Early Telecom AI Progress Points to Real Performance Results 

The rapid evolving growth of AI is impacting hyperscaler data centers, as high volumes of traffic and intensive processing requirements push the limits of current networks. Data center architectures and the high-speed networks they rely on must be reevaluated, along with their testing strategies, to ensure reliable performance now and into the future.

The rapid growth of AI is impacting data center architectures and the high-speed networks they rely on They must be reevaluated, along with the testing strategies to ensure reliable performance into the future.

The Challenge of Evolving AI Workloads in Data Centers 

Large enterprises face challenges related to complexity, cost, productivity, and regulatory compliance. Many recognize the critical need to modernize their test labs to automate manual processes, incorporate historical analysis, and facilitate regression testing. The latest transformation strategies provide opportunities to streamline operations, reducing lab testing timelines from months to hours

Large enterprises face challenges related to complexity, cost, productivity, and regulatory compliance.

How Modern Test Labs Cut Cost and Complexity

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AI is transforming data centers, driving demand for high-speed Ethernet and scalable infrastructure. This blog explores how operators are adopting 800G Ethernet and sustainable practices to meet AI’s intensive requirements. Learn why efficiency and resource optimization are essential for monetizing AI infrastructure investments.

AI is transforming data centers, driving demand for high-speed Ethernet and scalable infrastructure. This blog explores how operators are adopting 800G Ethernet and sustainable practices to meet AI’s intensive requirements. 

AI Data Center Testing Emerges as Top Priority

Look Before You Leap: AI Data Center Testing Emerges as Top Priority

Financial institutions rely on their digital infrastructure for conducting financial transactions and providing services to their customers; it's important to ensure their networks are secure, reliable, and perform as planned to their specific needs.

Validating Network Security and Performance for Financial Institutions

Financial enterprises are pushed to test more complex systems, faster than ever, while facing multiple regulatory compliance requirements that must be fulfilled multiple times per year. For many, their current state of testing simply can’t keep up. To address these challenges, a test lab modernization and automation strategy is key to addressing objectives and requirements in the financial sector.

A test lab modernization and automation strategy is key to addressing complex objectives and requirements in the financial sector.

Test Lab Modernization Trends for Financial Enterprises

In the dynamic realm of data centers, AI is setting new benchmarks. A discussion with Aniket Khosla, VP of Wireline Product Management at Spirent, highlighted how AI is revolutionizing data center networking.

AI’s Transformative Impact on Data Center Networking

Innovative testing approaches in preparation for the AI revolution

The growing number of regulatory compliance requirements mandate BFSI institutions conduct annual – some biannual – operational resilience testing to ensure ICT systems can withstand cyberattacks and disruptions. Traditional manual testing can’t do the job anymore.

The growing number of regulatory compliance requirements mandate BFSI institutions conduct annual – some biannual – operational resilience testing to ensure ICT systems can withstand cyberattacks and disruptions. 

Automation Strategies to Avoid Finance’s Major Meltdown

Test, assurance, and automation thought leadership from our in-house experts.

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