There is no doubt that Blockchain is a powerful technology: it can change classic business models and add to them the vision of a new economy – in fact, it’s already done that.
Blockchain platforms allow us to build fully transparent and distributed applications. They also eliminate business and political risks associated with centrally managed entities by reducing the need for trust between counterparties.
However, when Blockchain products are discussed two primary issues are always mentioned: scalability and privacy.
Scalability because 20 – 30 transactions per minute is not acceptable in the modern world. Fortunately, performance is not critical for many current use cases and solutions for this issue are in development.
Privacy because solutions for privacy concerns are not yet as available though it has become clear that this will be the focus of discussion in the Blockchain community in the coming months: privacy becomes a major concern as soon as we add personal or sensitive data into chains.
How can we add privacy into one of the most transparent networks in the world? If we do add privacy is the system still a Blockchain?
Our speaker – Denis Baranov – give examples of developing real-world Blockchain projects and shed some light on the challenges and solutions surrounding scalability, transparency and privacy.
Denis Baranov is a Principal Consultant at DataArt. He has over ten years’ experience in the IT industry, as a developer, technical architect, solution architect and IT leader.
He specialises in designing and building business solutions in financial services, capital markets, and fintech.
Denis is passionate about technology innovation, and is currently focused on leading the development of market solutions underpinned by distributed ledger technologies such as Blockchain, and AI technologies such as machine learning.
He participates in projects and communities both inside and outside DataArt, and is a regular speaker and contributor of various communities and conferences.
Denis holds a PhD in computer science from Lomonosov Moscow State University, and has an MS in Applied Mathematics, Informatics & Mechanics.