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    • SOLUTIONS
      • ARTIFICIAL INTELLIGENCE
      • NEXT GEN RETIREMENT
      • DISTRIBUTED LEDGER
      • DIGITAL ASSETS
      • DIGITAL WALLETS
      • TELEWORK
      • TELEHEALTH
      • BENEFITS
      • GIG WORKFORCE
      • DIGITAL LEARNING
      • CYBERSECURITY
    • CONSULTING
      • CONSULTING SERVICES
      • STRATEGY FOR DIGITAL
      • OPERATIONS & DATA MODELS
      • DIGITAL TRANSFORMATION
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      • MERGERS & ACQUISITIONS
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  • HOME
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    • ARTIFICIAL INTELLIGENCE
    • NEXT GEN RETIREMENT
    • DISTRIBUTED LEDGER
    • DIGITAL ASSETS
    • DIGITAL WALLETS
    • TELEWORK
    • TELEHEALTH
    • BENEFITS
    • GIG WORKFORCE
    • DIGITAL LEARNING
    • CYBERSECURITY
  • CONSULTING
    • CONSULTING SERVICES
    • STRATEGY FOR DIGITAL
    • OPERATIONS & DATA MODELS
    • DIGITAL TRANSFORMATION
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    • MERGERS & ACQUISITIONS
  • LICENSING
    • WIRELESS TECHNOLOGIES
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ARTIFICIAL INTELLIGENCE & experienced-based NEXT GEN retirement assiStant

ARTIFICIAL INTELLIGENCE & EXPERIENCED-BASED COLLABORATION

"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:


  • Assets are as 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, subject to asset constraints

the EXPERIENCED-BASED NEXT GEN RETIREMENT ASSISTANT for empl

Shared Experiences & Knowledge

Shared Experiences & Knowledge

Shared Experiences & Knowledge

 Experience-sharing, including similarity matching of retirement/401k plan participants to drive the ranking and injection of novel affordance recommendations 

Assets

Shared Experiences & Knowledge

Shared Experiences & Knowledge

Assets are typically defined by savings, properties, investments, income, etc.

Retirement Needs

Shared Experiences & Knowledge

Retirement Needs

Needs (or desires) are reflected by spending but could include explicit budgets and short and long-term goals 

Affordances

Anomaly Detection

Retirement Needs

Affordances are objects that can be used to satisfy needs and desires in retirement, subject to asset constraints

Similarities

Anomaly Detection

Anomaly Detection

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

Anomaly Detection

Anomaly Detection

Anomaly detection is used to note spending that is unusual for others with similar assets and needs

Feedback

Server-Side Infrastructure

Wireless Financial

Feedback may include status of good/bad normal/abnormal, better alternative affordances for this/next time

Wireless Financial

Server-Side Infrastructure

Wireless Financial

Near-Field Communications (NFC) based topologies and algorithms

Server-Side Infrastructure

Server-Side Infrastructure

Server-Side Infrastructure

Scalable AI knowledge store with very fine-grained, cell-level security

AI-BASED SOLUTIONS for NEXT GEN retirement


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