Kausar Samli, VP of Global Delivery for Learning Machine, will address the key topics and values relevant for governments considering blockchain implementations.
In this age of global economic transformation, as nation-states transition from a local industrial economy to a global digital economy, technology-driven social evolution increasingly requires an information economy model of credentialing. The reforming of paper records into blockchain-secured digital documents offers a faster, simpler, and more secure way to record transactions, validate authenticity, and verify identity. These attributes directly prevent fraud, enhance operational efficiency, enable new revenue streams, increase brand and market value, and simultaneously empowering participants to be owners of official records that are theirs for a lifetime.
Nowhere is this transition more apparent than among nation-states where the constraints of a small population with limited resources necessitate innovative approaches to train, recruit, and retain a competitive workforce. Island nations like the Bahamas and Malta (and others) are at the forefront of this transformation by leveraging technologies that offer competitive advantages and attract human capital from larger nation-states. For example, both nations are implementing strategies, incentives, and legislations to facilitate a transformation into blockchain-powered governments and economies, thereby generating significant global and regional economic value. As the world leader in blockchain-secured digital records, Learning Machine has developed the technology and scalable enterprise platform to provide an information economy model of credentialing to meet market needs.