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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

Indeed, AI is revolutionizing our world, driving rapid innovation, and transforming how we engage with technology personally and professionally. 1 At this year’s Microsoft Ignite 2023, taking place in Seattle on November 14-17, attendees will explore the potential of AI to drive innovation and thrive in this new digital-centric era.

Azure 130
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Software Testing Trends 2021 – What can we expect?

Testsigma

From AI to ML, the shifting technology world is constantly innovating and making significant progress. IoT Test Automation. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. Many changes are rendered through automated testing.

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What is observability? Not just logs, metrics and traces

Dynatrace

Observability is also a critical capability of artificial intelligence for IT operations (AIOps). An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. How do you make a system observable?

Metrics 363
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How to evaluate modern APM solutions

Dynatrace

Artificial intelligence for IT operations (AIOps) for applications. A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs. Application discovery, tracing, and diagnostics (ADTD).

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12 Latest Software Test Automation Trends To Look For In 2020

Testsigma

Hyper Automation, DevTestOps Bringing Automation to the testing of different types of devices and experiences – IoT and Multi Experience Autonomous Test Automation Making Automation more Human-Friendly – Democratization. IoT Test Automation. IoT or Internet of Things is an example of that. Role of DevTestOps-Blog.

IoT 78
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What is APM?

Dynatrace

According to Gartner , “Application performance monitoring is a suite of monitoring software comprising digital experience monitoring (DEM), application discovery, tracing and diagnostics, and purpose-built artificial intelligence for IT operations.” Increased time spent on innovation. Better user experiences.

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The Future in Visual Computing: Research Challenges

ACM Sigarch

As a result of these different types of usages, a number of interesting research challenges have emerged in the domain of visual computing and artificial intelligence (AI). For many IoT applications involving wireless video sensors (e.g. interactive AR/VR, gaming and critical decision making). E2E Architecture and Orchestration.