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The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI

Dynatrace

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. This is one example of the many use cases we’re exploring.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. Occasionally, these use cases involve terabytes of data, so we have to pay attention to performance.

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Performetriks Training: Developing with Performance in Mind

Dotcom-Montior

This is the first online performance engineering training for developers, architects, QA, and test engineers. The Performetriks team will share their collective experience from real projects and educate your team on how to write high performance applications. Front-end Development for Performance. Testing for Performance.

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Modern observability platform is onramp to digital transformation: Dynatrace Perform 2022, reporter’s notebook

Dynatrace

Dynatrace CEO Rick McConnell at Perform 2022 in Las Vegas. Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. Dynatrace news. For our complete?

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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. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks.

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Causal AI use cases for modern observability that can transform any business

Dynatrace

Software development. Software developers can use causal analysis to identify the root causes of bugs or application performance issues and to predict potential system failures or performance degradations. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance.

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Nurturing Design in Your Software Engineering Culture

Strategic Tech

There are a few qualities that differentiate average from high performing software engineering organisations. Martin Fowler argues that internal quality of a software system enables new features and improvements to be delivered more sustainably. This necessitates a good understanding of the domains the software represents.