Rahul Vishwakarma

Machine Learning methods are a much-discussed topic today in storage industry. Everyone wants to have a data driven insightful decision-making capabilities into their products. Moreover, when dealing with risk-sensitive systems – where the cost of a bad decision can be very high, and prediction accuracy is not the only objective; a multidimensional perspective about the quality of prediction needs to be considered. The reality is that reliable estimation of prediction confidence remains a significant challenge in machine learning.

Blockchain technology has already had widespread adoption in applications and having a solution for storage interoperability and testability can bring this adoption to a higher level. Blockchain-in-Storage is a new application for storage technology which may help addresses security threats, encourage adoption and expand storage applications.

The Quantum computing paradigm shift has changed the way we look at data security these days, especially the long-term security of data. Soon, the fast algorithms will be designed to run on quantum computers which can break some of the most widely used cryptosystems, making them vulnerable. However, to address this issue, Chaos theory is actively being studied as a basis for post-quantum era cryptosystems and advancement has been made in the domain of study. The unique characteristic of chaotic systems can be leveraged to produce highly secure cryptographic systems.