DGT Network
Alexander Khvatov has held various roles in different companies throughout their work experience.
From 2013 to 2015, they worked as a Finance Officer at DigitalXpert, where they designed monetization structures and financial models for large-scale enterprise solutions. Alexander also played a central role in developing business and financial strategies for technology products, many of which achieved commercial success.
In 2015, Alexander co-founded Intelligent Objects Inc., a laboratory specializing in IoT, Smart Home, Cloud, and Blockchain technologies. As a Co-Founder and Product Manager, they contributed to designing financial structures and product features. Their leadership skills and collaboration with a fantastic team resulted in commercial adaptation of many envisioned products.
In 2016, they founded FOODIGO, and in their role as Founder, they led the company in its early stages.
Since November 2017, Alexander has served as the Chief Executive Officer of DGT Network, a position they currently hold.
Additionally, in June 2022, they started working as a Contributor at Money.Net.
Overall, Alexander Khvatov has gained extensive experience in finance, product management, and leadership throughout their diverse work history.
Alexander Khvatov completed their Bachelor of Business Administration with a focus on Strategy & Finance at the Schulich School of Business - York University from 2010 to 2014. In 2013, they also studied International Finance at WU (Vienna University of Economics and Business) for a brief period. Additionally, in 2011, they participated in a program at Fudan University, focusing on Business and Financial Networks. In November 2014, Alexander obtained the Project Management Professional certification from the Project Management Institute.
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DGT Network
DGT is a Web3 platform that allows traditional enterprises to create data-powered ecosystems and perform institution-grade tokenization. Its capabilities include fast, secure, and scalable Layer-1 processing; as well as business functions, like embedded identity, off-chain calculations, ZKP / SMPC data exchanges, programmable transactions,hybrid network permissions (features of permissioned and public chains), and more. Its use cases include carbon credits, real estate tokenization, marketing attribution ecosystems, NFTs, the metaverse, and others.