SECaas – Security as a Service. Current risk on info security, data and financial value loss continually is growing fast. At the same time this is getting identified, managed and mitigated as well. Some cyber attacks are never been reported and some are still unknown to the companies. […]
So for responding to 2 main questions. 1. Where do all these AI trends fit into the FinTech & finance industry? 2. How machine learning algorithm will transform financial technology services?
Deep Learning terminology can be quite overwhelming to newcomers.. This blog post covers important aspect of deep learning which can be defined as set of techniques that uses neural networks to simulate human decision-making skills. #AILabPage
The Appeal of AI for Cyber Security has extremely good reasons like automation of operational tasks, develop & delivering predictive capabilities, mitigating human biases behaviour and derive actionable intelligence. On the down side AI requires high volumes of high quality data to learn.
Somebody mentioned it to me some time back and I laughed then. The day you decided to come online you actually accepted “No to privacy”. Now its even worse as we can even use radio signals to see through walls so no need to be online. Signals now can be used to monitor a person’s precise movements through a solid wall. What else and how far we will go cant answer now. But all these development for sure has its pros and cons sides.