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What to expect from AI in the enterprise in 2025

CIO

Michael Hobbs, founder of the isAI trust and compliance platform, agrees. As AI offerings from cloud providers such as Microsoft Azure, AWS, and Google Cloud develop in 2025, we can expect to see more competitive pricing that could help keep a check on costs for enterprises.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud.

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Top 5 Organization Policy Services for Google Cloud

Xebia

Top 5 Organization Policy Services for Google Cloud The Google Cloud is a cloud service that enables users to create and manage virtual machines and Kubernetes clusters, store data, and run applications. The organization defines the domains in which all other resources reside.

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Can we trust Google Cloud Load Balancing?

Xebia

During our work in the field we get a lot of questions regarding security and compliance. With Cloud getting a more prominent place in the digital world and with that Cloud Service Providers (CSP), it triggered the question on how secure our data with Google Cloud actually is when looking at their Cloud Load Balancing offering.

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Google opens second cloud region in Germany

CIO

Google has opened a second cloud region in Germany as part of its plan to invest $1.85 Other Google Cloud regions in Europe include locations such as Milan, Paris, Zurich, Warsaw, Madrid, Turin, Belgium, Finland, The Netherlands, and London. In March, Google launched a second region in the Middle East.

Cloud 148
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Unlocking AI potential: The essential role of hybrid, multi-cloud strategies

CIO

NetApp believes that, even though many businesses will choose public cloud services for AI, there are compelling reasons why specific organizations may decide to run AI workloads in their private data centers or use a hybrid cloud model.

Strategy 158
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Flexential: Perfecting a platform methodology for enterprises’ multi-cloud future

CIO

We’ve worked hard to define and standardize our configuration parameters and validated procedures and guardrails to ensure maximum security and compliance so customers can rest assured their data is safe. “All of the services offered on our platform are complementary and interoperable,” adds Ochoa.