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Artificial Intelligence in Cloud Computing

Scalegrid

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. Infrastructure Excellence ScaleGrid’s infrastructure is designed to facilitate hosting in your cloud account and provides cost-saving options with AWS or Azure Reserved Instances or GCP.

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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.

Cloud 217
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Rethinking the 'production' of data

All Things Distributed

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

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Mastering Hybrid Cloud Strategy

Scalegrid

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. On-Premises Data Center A hybrid cloud architecture necessitates that an organization retains full authority over its physical or virtual infrastructure within the private cloud segment.

Strategy 130
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A 5G future

O'Reilly

But that’s also a problem that 5G vendors could solve; virtual LANs ( VLANs ) are hardly a new concept. We won’t even need to worry as much about security; Google, Amazon, and Microsoft all do better backups than I ever will, are much better at surviving network disruption, and know an awful lot more about how to protect my data.

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What Is a Workload in Cloud Computing

Scalegrid

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. This applies to both virtual machines and container-based deployments.

Cloud 130
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5 key areas for tech leaders to watch in 2020

O'Reilly

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. there’s a Python library for virtually anything a developer or data scientist might need to do. Interestingly, R itself continues to decline.