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How AI and observability help to safeguard government networks from new threats

Dynatrace

As cyberattacks continue to grow both in number and sophistication, government agencies are struggling to keep up with the ever-evolving threat landscape. However, emerging technologies such as artificial intelligence (AI) and observability are proving instrumental in addressing this issue. There are no more unknown unknowns.

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Container monitoring for VA Platform One helps VA achieve workload performance

Dynatrace

Dynatrace container monitoring supports customers as they collect metrics, traces, logs, and other observability-enabled data to improve the health and performance of containerized applications. It’s helping us build applications more efficiently and faster and get them in front of veterans.”

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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. But only 21% said their organizations have established policies governing employees’ use of generative AI technologies.

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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.

AWS 206
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State and local agencies speed incident response, reduce costs, and focus on innovation

Dynatrace

Critical application outages negatively affect citizen experience and are costly on many fronts, including citizen trust, employee satisfaction, and operational efficiency. The team can “catch more bugs and performance problems before the code is deployed to the production environment,” Smith said.

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What is explainable AI? The key to closing the AI confidence gap

Dynatrace

Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations. In a perfect world, a robust AI model can perform complex tasks while users observe the decision process and audit any errors or concerns.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Improved governance. What is a data lakehouse? Query language. Disadvantages.