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Artificial Intelligence in Cloud Computing

Scalegrid

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. In this way, intelligent automation is a game-changer in the cloud computing landscape. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands.

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Digital transformation with AWS: Making it real with AIOps. When Amazon launched AWS Lambda in 2014, it ushered in a new era of serverless computing. Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources.

AWS 228
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321
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Mastering Hybrid Cloud Strategy

Scalegrid

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130
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What is observability? Not just logs, metrics and traces

Dynatrace

Observability is also a critical capability of artificial intelligence for IT operations (AIOps). Foster an open ecosystem: This extends observability to include external data sources, such as OpenTelemetry, which is an open-source project led by vendors such as Dynatrace, Google, and Microsoft.

Metrics 363
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What Is a Workload in Cloud Computing

Scalegrid

Examples include associations with Google Docs, Facebook chat group interactions, streaming live forex market feeds, and managing trading notices. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. What is meant by the workload in computers?

Cloud 130
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Generative AI in the Enterprise

O'Reilly

While experienced AI developers are starting to leave powerhouses like Google, OpenAI, Meta, and Microsoft, not enough are leaving to meet demand—and most of them will probably gravitate to startups rather than adding to the AI talent within established companies. Microsoft, Google, IBM, and OpenAI have offered more general indemnification.