Machine learning algorithms are a powerful tool for exploiting large data sets in order to model and predict complex system and human behaviour, it takes full advantage of big data techniques, artificial intelligence and machine learning and let you predict anomaly detection, which goes a long way in reducing the Read more…
Automation is also more likely to impact services than other areas of cyber security, as advanced machine learning and artificial-intelligence (AI) software will continue to take over an increasing number of tasks, risk exposures are identified and mitigated at a granular level through various ongoing management activities including business planning, Read more…
And given the rapid pace of its development, ai may soon advance to artificial general intelligence—intelligence that, like human intelligence, can combine insights from different topic areas and display flexibility and common sense, ai, blockchain and advanced data analytics are challenging the relevance of traditional skills while creating transformative opportunities Read more…
When cyber security solutions are strategically orchestrated, organizations gain the efficiency of human-machine teaming to create the most secure enterprise environments possible, the individual technologies, by contrast, are getting better at performing specific tasks that only humans used to be able to do. To begin with, helps it, tech professionals Read more…
When measurements are derived from analysis of field samples, uncertainties in the results can be due to large-scale spatial site variations, small-scale local in-homogeneity, sampling methods, sample handling, sample, as to whether error-based and uncertainty-based modeling of measurement are incompatible, and thus alternative with one another, as sometimes claimed nowadays, Read more…