Cloud Must Haves: I Love that For You!

Cloud Must Haves: I Love that For You!

Must-Have Cloud Computing Strategies

Today's Cloud Blazers blog discusses the potential of cloud computing technology and next generation must-haves.

Cloud technology exploded when mobile phones started replacing computers. I remember the joy of getting web on my phone on that beach vacation a decade ago. With the growth of the Internet of Things (IoT) came into picture, data analytics on physical to digital transformed (just in time) and saved us during the pandemic shut downs. Now, artificial intelligence?(AI) is driving cloud trends - and I must say, I LOVE AI - CLOUD for you!

First, start with strategic decisions about cloud migration, cloud architecture, usage of public clouds, effective tooling and cloud cost management.?

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The consumption of cloud—whether public, private or a hybrid approach—successfully improved the ways in which IT provisions, manages and orchestrates resources. The question is no longer?if?but instead?when?for organizations that have not yet begun their cloud journey.

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Why Marry AI + Cloud

AI and cloud insures to be a means to accelerate change and also be a source of innovation. The cloud can provide AI systems with all the information they need and at the same time AI systems can provide information which can give cloud more data. The AI-cloud union can escalate the rate at which AI is developing.

As the capabilities of AI rise, so will the demand for cloud technology.

Why Scalability is Important NOW More than Ever

Gartner defined scalability as “the measure of a system’s ability to increase or decrease in performance and cost in response to changes in application and system processing demands.”

Value with VMware Cloud on AWS

Optimizing connectivity costs and having the ability to scale from a networking perspective is critical to achieve connectivity requirements and continued adoption of VMware Cloud on AWS. We see customers starting by implementing virtual private networks (VPNs) for connectivity to VMware Cloud on AWS from on premises, and for connectivity within the cloud.

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Above: On-premises to a single SDDC connectivity with VPN.

The configuration from?Figure 1?shows how customers implement VPN connectivity to VMware Cloud on AWS in a single SDDC, while?Figure 2 below?shows how to do so in multiple SDDCs.

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Figure 2 – On-premises to multiple SDDCs in multiple regions via VPN.

Artificial Intelligence Empowered With Cloud

About 90% of early cloud adopters claim that cloud technology will play an important role in their Artificial Intelligence initiatives in the coming years. And more than 55% of users chose cloud-based services and are leveraging SaaS and PaaS to execute and deploy AI-infused cloud results.

The early adopters have also shared their experiences claiming that enabling cloud technology will play a significant role in AI adoption.

Love that For YOU: AI in The Cloud

We have seen a giant amount of investment on the capabilities of AI in the cloud platforms in the last few years. With tech-giants like Google, Amazon and Microsoft leading the charge, many PaaS solutions have also started integrating AI abilities:

  • Cloud Machine Learning (ML) Platforms:?Modern day technologies like AWS ML, Azure ML and the upcoming Google Cloud ML use a specific technology that is held responsible for powering the creation of Machine Learning models.
  • AI Cloud Services:?Technologies that support AI platform for business like IBM Watson, Google Cloud Vision, Microsoft Cognitive Services or Natural Language application programming interfaces allow abstract complex AI capabilities via simple API calls.

AI requires support for brand new programming paradigms and also needs a new computing infrastructure. So, we can expect AI capabilities to be held and incorporated by the cloud as a principle element of its infrastructures. Also we can expect to see the advent of a new generation of cloud platforms powered by AI. Maybe, we are entering the era of the AI-first cloud.

According to the Economist Intelligence Unit’s 2016 survey, the greatest benefit of AI technology is the ability to improve efficiency of the businesses. This also means that AI can comprise of tedious tasks like predictive maintenance, product design, or streamlining logistics and cloud can make AI easier and cheaper to be executed.

The combination of AI and cloud is shaping up to be a disruptive force across a lot of industry verticals. A survey by the Transparency Market Research predicted that by using machine learning (ML) as a service’ the market is expected to grow from $1.07 bn in 2016 to $19.86 bn by 2025. This AI-cloud relation not only creates a new way of thinking about other existing technologies and methodologies but also brings a new degree of accessibility to AI technology.

Conclusion

In this Cloud Blazer post, we discussed the evolution cloud and reveal cloud potential has not arrived fully. Experimentation is the best way of advancing your cloud strategies. Cloud and AI are digitally converting the way we interact with the world. Thanks to cloud, AI technology is now available for you!

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