"Experienced-based" collaboration computing is the use of computerized models to simulate the human thought process in complex situations where the answers may be ambiguous and uncertain, such as in retirement or pre-retirement.
These AI and Cognitive Computing based retirement solutions (Defined Contribution, such as 401k, or Defined Benefit plans) must identify assets, needs, as well as the individual plan participant affordances. Affordances are relationships between a physical object or a digital one and 401k or IRA plan participant.
The main conceptual framework of our AI retirement solution puts the "individual employee at the center" of the experienced-based collaboration and considers three interacting factors: Assets, Needs, and Affordances:
Experience-sharing, including similarity matching of retirement/401k plan participants to drive the ranking and injection of novel affordance recommendations
Assets are typically defined by savings, properties, investments, income, etc.
Needs (or desires) are reflected by spending but could include explicit budgets and short and long-term goals
Affordances are objects that can be used to satisfy needs and desires in retirement, subject to asset constraints
With each individual participant at the center traditional financial rules-of-thumb can also be included as a hybrid AI of both rules and shared experiences
Anomaly detection is used to note spending that is unusual for others with similar assets and needs
Feedback may include status of good/bad normal/abnormal, better alternative affordances for this/next time
Near-Field Communications (NFC) based topologies and algorithms
Scalable AI knowledge store with very fine-grained, cell-level security
THE DIGITAL INNOVATION COMPANY
Innovators and Change-Makers.
Copyright © 2022 Digital Workplace Ventures, LLC - All Rights Reserved.