Almost all tech savvy people these days know about the potential of cloud computing technology and how cloud platform has already affected businesses by effectively storing data and balancing the existing workloads is also known. Because cloud computing is the cutting-edge technology, a lot of companies need time to think and understand how cloud will continue to rise with time.
Cloud technology saw major changes when change in trends like rise of mobile started replacing computers and when rise in Internet of Things (IoT) platform came into picture. The big dream now is to see how artificial intelligence (AI) improvises cloud just the way cloud technology has improvised AI development.
According to a research by one of the biggest cloud company IBM, stated that the union of 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 to learn from, at the same time the AI systems can provide information which can give cloud more data. The AI-cloud marriage can escalate the rate at which AI is developing, and the determination of cloud giants to research into AI shows that these are not just words. Also a study by IBM, The cognitive advantage, discloses that about 65 per cent of early adopters consider AI to be an important factor for their organizations success. And more than half say that AI is essential for digital transformation. As the capabilities of AI rise, so will the demand for cloud technology.
Artificial Intelligence enabled by cloud
About 90% of early cloud adopters claim that cloud technology will play an important role in their Artificial Intelligence initiatives in coming years. And more than 55% of users chose cloud-based services and are leveraging SaaS & PaaS to execute and deploy AI-infused cloud results. The early adopters have also share their experiences and claimed that enabling cloud technology will play a significant role in AI adoption. Hence we can say that pervasive AI is supported by pervasive cloud.
AI in the cloud today
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, Microsoft leading the charge, many PaaS solutions have also started integrating AI abilities. After analyzing the present-day scenario of the cloud-AI technology, we can classify it into two major groups:
· 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. But excepting Google Cloud ML that leverages Tensor Flow can be difficult because a large number of cloud ML technologies won’t permit implementation of AI programs coded in conventional AI.
· 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. Using this you can incorporate AI capabilities without investing in sophisticated AI infra.
The AI technologies are bound to evolve with time and cloud platforms will switch from the level of basic support for AI capabilities to a much flexible model where AI programs are as widely supported as web and databases function today.