David K.A. Mordecai was invited to be a keynote speaker at the American Association of State Compensation Insurance Funds (AASCIF) Mid-Year CEO Conference on April 30, 2015, in Arlington, VA.
Dr. Mordecai’s presentation was entitled Cyborg Commerce, Pervasive Computing, Cyber-Physical Digitization and the Deep Web: RiskTech Applications of Tertiary Data and Implications for Navigating Emergent Risk within Workers’ Compensation Exposures.
David K.A. Mordecai is Co-Managing Member of Numerati® Partners, and advises research activities at RiskEcon® Lab @ Courant Institute of Mathematical Sciences NYU.
About Numerati® Partners LLC
Numerati® Partners coordinates a data analytics and technology development ecosystem, with the mission of advancing and fostering the next generation of scalable data-intensive risk and liability management enterprises. The firm provides resources fundamental to advancing the development of nascent leading-edge inferential surveillance, monitoring, and predictive analytics technologies for deployment within the RiskTech domain: risk technologies associated with adaptive distributed, networked and embedded systems such as remote sensing, agent-oriented data analytics, computing and control systems. Numerati Partners curates integrated RiskTech solutions as well as forensic and use-case applications in RiskTech sub-domains such as LitTech, RegTech, FinTech and InsurTech (litigation technology, regulation technology, financial technology and insurance technology).About RiskEcon® Lab @ Courant Institute
The mission of RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU is the development of experimental testbeds and analytics that employ high-dimensional datasets from innovative sources by applying a range of computational and analytical methods to commercial and industrial sensor networks and edge computing embedded systems, focusing primarily on research and development (R&D) of remote and compressed sensing, anomaly detection, forensic analytics and statistical process control. By employing applied computational statistics within the context of robust and scalable data analytic solutions, our goal is robust integration of machine learning with signal processing for measurement and control, in order to conduct research fundamental to large-scale, real-world questions in risk and liability management.About AASCIF
The American Association of State Compensation Insurance Funds (AASCIF), is an association of workers’ compensation insurance companies from 26 different states, in an addition to eight workers’ compensation boards in Canada. In the US, these companies, loosely referred to as state funds, each specialize in writing workers’ compensation insurance in a single state. Some of these companies operate as private insurance companies, whereas others act as agencies of their respective state governments. In Canada, all workers’ compensation insurance is provided through workers’ compensation boards, which have complete jurisdictional and administrative powers related to workers’ compensation in their respective provinces.
May 1, 2015 | Arlington, VA