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Generative AI model observability, cloud modernization take center stage with partners at Dynatrace Perform 2024

Dynatrace

At this year’s Perform, we are thrilled to have our three strategic cloud partners, Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), returning as both sponsors and presenters to share their expertise about cloud modernization and observability of generative AI models.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. Security, databases, and programming languages effortlessly remain up to date and secure in the serverless model. Creating a prototype (for example, on Azure ).

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. These include application programming interfaces, streaming, and more. Unlike data warehouses, however, data is not transformed before landing in storage.

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What Is a Workload in Cloud Computing

Scalegrid

Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. Computer workload refers to the combination of computing power, memory, storage, and network resources required to complete a task or run a program. What is meant by the workload in computers?

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Web Development Trends 2019

KeyCDN

Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. The miracle of machine learning allows programs to collect and synthesize new information to improve the user experience. Machine Learning AI is no longer restricted by its programmer’s inputs.

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5 key areas for tech leaders to watch in 2020

O'Reilly

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. In programming, Python is preeminent. Figure 3 (above).

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Generative AI in the Enterprise

O'Reilly

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Many AI adopters are still in the early stages.