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Google Cloud Next 2024: AI innovation for Google Cloud

Dynatrace

In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud.

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Data Storage Formats for Big Data Analytics: Performance and Cost Implications of Parquet, Avro, and ORC

DZone

Efficient data processing is crucial for businesses and organizations that rely on big data analytics to make informed decisions. One key factor that significantly affects the performance of data processing is the storage format of the data.

Big Data 274
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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? What is software automation? Operations.

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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

To handle errors efficiently, Netflix developed a rule-based classifier for error classification called “Pensive.” Clark Wright, Staff Analytics Engineer at Airbnb, talked about the concept of Data Quality Score at Airbnb. Until next time!

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Artificial Intelligence in Cloud Computing

Scalegrid

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

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Tech Transforms podcast: How one federal agency is embracing AI to support and empower its cyber workforce

Dynatrace

You don’t really gain the efficiencies or the objectives that you need to be [gaining].” Johnson also shared how his team is using AI to automate certain talent management processes, such as expediting applicant-job matching and aligning training and certification offerings with workforce skill gaps. Download now!