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Measuring the importance of data quality to causal AI success

Dynatrace

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It removes much of the guesswork of untangling complex system issues and establishes with certainty why a problem occurred. That’s where causal AI can help. Causal AI is particularly effective in observability. Timeliness.

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Implementing service-level objectives to improve software quality

Dynatrace

As more organizations embrace microservices-based architecture to deliver goods and services digitally, maintaining customer satisfaction has become exponentially more challenging. Instead, they can ensure that services comport with the pre-established benchmarks. SLOs improve software quality. An example setup of a synthetic SLO.

Software 256
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What is application modernization? How to pick an application modernization strategy

Dynatrace

According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. Document and benchmark existing applications, processes, and services. Why should organizations modernize applications? However, each modernization effort is different.

Strategy 219
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Detecting Speech and Music in Audio Content

The Netflix TechBlog

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks.

Software 180
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Choosing a cloud DBMS: architectures and tradeoffs

The Morning Paper

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., use the TPC-H benchmark to assess Redshift, Redshift Spectrum, Athena, Presto, Hive, and Vertica to find out what works best and the trade-offs involved. Each systems begins from a cold start unless explicitly stated otherwise in the results. VLDB’19.

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What is infrastructure monitoring and why is it mission-critical in the new normal?

Dynatrace

This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more. AI-assistance: Use AI to detect anomalies and benchmark your system. What is infrastructure monitoring? . It’s not hype, it’s the way forward.