AI-powered Vendor Data Exchange
The paper examines what kinds of standardised data generated by LSPs as well as data available from public sources can be used for decision making in LSP vendor management. Appropriately processed logs and metadata from communication and VM infrastructures can be automatically shared between competitors, used by their algorithms and in training of their AIs without any confidentiality concerns. I will demonstrate how such data can be used to determine the trustworthiness of business partners and detect potential frauds. I will look at the value of exploiting information in already existing systems, how it could be measured and compensated to its owners and how this plays out in the wider economic environment of the information society.