Cloud computing interoperability, portability key to multi-cloud unity

JASON SPARAPANI | February 12, 2018

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As cloud services become more important to companies today, cloud computing interoperability and portability become more than just multisyllabic IT terms. They’re concepts that, when put to use, can help companies avoid being locked into vendor relationships and make the best use of a jumble of cloud services. The Cloud Standards Customer Council, a body of cloud experts and users that helps drive standards for cloud computing, published an updated published an updated guide on cloud computing interoperability and portability in December and last week aired an accompanying webinar. In it, Mike Edwards, platform as a service evangelist at IBM and cloud standards expert, defined the terms and described the challenges interoperability and portability pose for companies with multi-cloud environments.

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AWS tags US$235 million to expand its cloud infrastructure in Latin America

Article | February 10, 2020

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Top 4 Advantages of Merging Cloud Computing in Artificial Intelligence

Article | September 8, 2021

We live in the modern era of Artificial Intelligence (AI), where machines replicate human behavior. As a result, it is capable of performing many functions that are attributed to humans. According to Statista, the global AI market would reach USD 89 billion annually by 2025. The credit of the overall growth goes to the integration of cloud computing in artificial intelligence. The customized merger of these two modern technology domains has enhanced the lives of millions. In fact, in our daily life, we often use artificial intelligence when we command cloud-based digital assistants such as Siri, or Alexa, ask for directions on our phones, or get real-time traffic alerts on our GPS. Cloud Computing and Artificial Intelligence- An Overview With such an impactful collaboration, businesses are set to achieve rapid digital transformation to live up to the competitive edge. 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AI helps to simplify complex and redundant operations to improve productivity, perform analytics without any manual effort." } },{ "@type": "Question", "name": "Which are the Best Cloud Platforms for AI?", "acceptedAnswer": { "@type": "Answer", "text": "Some of the best cloud platforms for AI are as follows: Microsoft Azure Google Cloud Machine Learning Engine Amazon ML platform services INTEL Nervana Platform Salesforce Einstein suite" } }] }

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GURU

Established in 1995, GURU is an IT managed service provider that specializes in infrastructure support, systems integration, data architecture, data hosting, and cloud services. Our proven IT project management methodologies deliver small- and large-scale solutions that can meet the demands of any size business.

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