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Digital transformation strategies: Success stories from three digital transformation journeys

Dynatrace

Digital transformation strategies are fundamentally changing how organizations operate and deliver value to customers. Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. Competitive advantage. Enhanced business operations.

Strategy 170
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Transitioning from Visual Studio: Key benefits of an observability platform for mobile monitoring

Dynatrace

Dynatrace observability, security, and data analytics capabilities empower users to derive greater insights and benefits from their monitoring data, ensuring they stay ahead in their mobile monitoring environments while offering similar feature parity to Visual Studio.

Mobile 171
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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. What is predictive AI?

AWS 203
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Sustainable Web Development Strategies Within An Organization

Smashing Magazine

Sustainable Web Development Strategies Within An Organization. Sustainable Web Development Strategies Within An Organization. For example, changing our database architecture to be more efficient could save on server costs. Watch the video of Jamie’s talk from Green Tech South West. Michelle Barker. Accreditation.

Strategy 126
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IT automation: An AIOps guide

Dynatrace

As the globe strides into 2023 — with rapid change and macroeconomic uncertainty looming — organizations want tools and technologies that enable them to become more efficient, reduce costs, and innovate more. Developing an AIOps strategy for cloud observability – eBook. What is AIOps? Learn the keys to AIOps success.

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Procella: unifying serving and analytical data at YouTube

The Morning Paper

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. VLDB’19. are divided. Reporting and dashboarding use cases (e.g. Little or) no local state.

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A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

The Netflix TechBlog

Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group. Our quasi-experimentation helps us constantly improve our streaming experience, giving our members fewer buffers and ever better video quality. Learning through data is in Netflix’s DNA.

Analytics 207