Secure AI-Cloud Mechanism for Smart Enterprise

Today, automation and AI have become a core and integral part of every industry. The range of automation in industry development is initiated from the data service layers, business service layer, to user interface layer amongst different modules and services. Cost cutters can take advantage of this process due to its complementary capabilities with expanded range services, but driving both continuous improvements and efficiency gain with reduced cost is a critical task. Moreover, with obsolete information, and rigidly following the existing techniques will not help in the sustainable growth of the company. Cloud computing technologies and architecture is an excellent way for data analytics, and a useful approach to empower organizations in driving big data dynamically and efficiently. With an increase in IoT adoption, cloud-driven big data analytics capture practical insights about large data sources that are in the structured and unstructured format, and data sources captured in real time will be optimized, stored, and retrieved at a much faster rate. Though it can effectively analyze big data, real-time deployment will raise a question regarding its capability to solve data mitigation and authentication.