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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 206
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum can run on any Linux server, whether it is hosted in the cloud or on-premise, and can run in any environment. The advanced analytics provided by Greenplum is being used across many verticals, including finance, manufacturing, automotive, government, energy, education, retail, and so on, to address a wide variety of problems.

Big Data 321
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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 225
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Web Development Trends 2019

KeyCDN

Serverless frameworks like Nuclio let you utilize cloud technology to reduce your workload, improve scaling and save money on unused resources. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. Serverless Applications Managing your own server is so 2018.

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Generative AI in the Enterprise

O'Reilly

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. This is an area where cloud providers already bear much of the burden, and will continue to bear it in the future.