With more companies generating data and finding ways to monetize it, alongside rapid growth in digital asset markets, what opportunities exist to create data-backed securities and financial derivative products backed by real world digital data? This session explores the potential for Data Economic Derivative Products, including an overview of the types of instruments that might be developed, what would make them unique compared to other digital asset type instruments such as cryptocurrencies or NFTs, the key features that would distinguish them in the market, and how they might be used to create impact by capturing new avenues for investment or aligning financial incentives in challenging areas.
What does it mean to actively invest in data, and what are the opportunities that exist for the institutional or retail investor to capture the growth in how data is used and valued across industries? Where are digital and data assets heading in terms of enabling novel financial instruments and new investment options? This discussion covers current perspectives on what “Investing in Data” means, the potential construction and regulation of novel investment instruments and options that use digital data, and an exploration of investments that are collateralized by digital data-backed assets.
Personal financial data is highly sensitive and highly valuable. What are the growing opportunities and markets around personal financial data, and what are the utilities of such data to people and to businesses? What should we be concerned about when our personal financial data is being used by companies to make decisions or adjudicate transactions? How should we understand privacy, control, and value from the perspective of the data creators and producers?
Digital Assets and Data Assets exist within an evolving regulatory framework. Hear from regulatory and compliance experts on current approaches in different markets—the US, UK, EU, and beyond— and the key regulatory requirements for Digital and Data Assets. What are the key challenges for compliance when designing, issuing, and trading Digital and Data Assets? How could the regulatory framework evolve to better suit the needs of Digital and Data Asset owners? What are the key steps to be aware of in terms of compliance for Digital and Data Assets?
Arka Ray, Managing Director of The Data Economics Company, sits down with Vaibhav Rikye, Senior Director of Strategy and Planning at Uber, about the Future of the “Gig Economy”, and particularly how consumer data can drive more value for gig workers, consumers, companies, and the infrastructure that gig economies use. What are the opportunities, for example, to affect positive change through data and incentives? Could gig economy companies and workers contribute to positive changes in climate and energy sustainability, for example?
Existing Intellectual Property (IP) law frameworks were not designed for a world of digital and data assets. How does intellectual property ownership function and what frameworks can we apply when considering new forms of digital and data assets from crypto to NFTs to Lydion Data Assets? Hear from legal experts on the various approaches to creating, defending, and working with IP in this emerging field.
An incredible amount of untapped potential exists in the data generated by homes and buildings. How upgrades—including those to make homes safer, more energy efficient, or more fire or earthquake resistant—are incentivized and financed could be revolutionized by enabling owners to monetize data generated by their properties. Long term, this value could be used to realize benefits for health, water quality, social justice, and more.
Companies outside the financial sector are increasingly “embedding” finance into their products and value propositions, challenging the traditional position of banks and leveraging technology to bring finance products to their customers in new ways. Some of the most exciting companies in fintech and technology today are in the business of helping their customers develop financial products and financial instruments that co-exist with their non-finance offerings. Given the power of data economics to unlock financial instruments such as data-backed derivatives, and the possibilities of using data economic operating systems such as the Lydion DEOS to transform data into financial instruments and enable complex transaction and data tracking across distributed sources, what are the larger implications for enabling embedded finance across numerous sectors?