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Fusion of Artificial Intelligence and Cloud Computing

By Enterprise Security Magazine | Friday, November 30, 2018

The world of data production, interpretation, and storage is changing radically because the technology around the world is changing. New technologies like IoT, cloud computing, machine learning, and virtualization are fueling the technological revolution. While the technology is facing such a revolution, unification of two technologies like AI and cloud computing accelerate the change even further and becomes a source of innovation. Cloud computing can provide AI with all the information it needs, and at the same time, AI can provide information which can give cloud computing more data.

Present Scenario of AI in the Cloud

Early adopters claim that enabling cloud technology will play a significant role in AI initiatives and adoption in the coming years. 55 percent of the early adopters chose cloud-based services and are leveraging Saas and PaaS to implement and deploy AI-infused cloud results. 

Cloud Machine Learning (ML) Platforms: Machine learning models are created by modern-day technologies like Azure ML, AWS ML, and the new Google Cloud ML. All technologies except Google Cloud ML that leverages TensorFlow is difficult because most ML technologies forbid the implementation of AI programs coded in conventional AI

AI Cloud Services: Complex AI capabilities can be achieved without investing in sophisticated AI infra by technologies that support AI platforms for business like IBM Watson, Microsoft Cognitive Services, Google Cloud Vision and Natural language application programming interface via simple Application Programming Interface (API) calls. 

Can AI and Cloud Computing be Fused?

Power players like Google, ESDS, Amazon, etc. are ruling the well-established cloud technology. AI, on the other hand, carries unique features that can influence several generations of cloud computing platforms. AI needs brand new programming and new computing infrastructure support. So, AI capabilities can be expected to be the principle element of cloud technologies infrastructure.AI technologies are bound to grow, and cloud platforms will switch from basic AI support capabilities to a more sophisticated model.

Future of AI in the Cloud

As per Economist Intelligence Units’ survey, the most significant benefit of AI for a business is increased efficacy. AI makes tedious tasks like product design, predictive maintenance, or streamlining logistics easier and cloud can make AI easier and cheaper to be executed. The demand for data scientists is also increasing, and early adopters believe that AI will solve the scarcity of data scientists. Business owners want AI to help them visualize, analyze and strategize large amounts of data. The AI and cloud fusion bot only brings a new way of thinking for existing technologies and methodologies but also brings a paradigm shift to AI technology.