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fuzzy-mittenz 
posted an update Nov 18
Post
436
So there will be a round-table at 2pm EST on Twitter Wednesday for all who wish to join check out our twitter-page, everyone is welcome as we fight to keep Machines from using us..

**SUBJECT
**What sectors are the most "At-Risk"
-Easiest implementation of independent and yet-to-be-aligned agents in these sectors
-What agents to use how to train

**Estate agents what wild forms they can take
-butlers and concierge type
-Legacy agents For carrying on ones legacy and estate wishes and implementation(Keeping their consciousness alive forever a cruel thing I would think but some ppl are terrified by death)

**Other Independence methods
-financial freedom
-foresight for work and family

IE-RT1 11-20-2024
----Meeting round table—Open Discussion----

Business specific approach
Phase 1: Identify specific business/home needs and suitable AI applications.
Phase 2: Evaluate available hardware and software solutions.
Phase 3: Develop and train customized AI models.
Phase 4: Deploy and integrate AI systems into existing infrastructure.
Phase 5: Monitor performance, refine models, and ensure ongoing maintenance.
--------------Fields of focus----------------

  1. Healthcare:
    Personalized Medicine: Analyze patient medical history, genomic data, and lifestyle factors to develop individualized treatment plans and predict disease risks, all while keeping sensitive patient data secure and on-site.
    Drug Discovery and Development: Process confidential research data and accelerate the identification of drug candidates through local AI-powered analysis.
    Medical Imaging Analysis: Analyze medical images (X-rays, CT scans, MRIs) locally to assist radiologists in detecting anomalies and making diagnoses, ensuring patient data remains confidential within the healthcare facility.

  2. Finance:
    Fraud Detection: Detect fraudulent transactions in real-time by analyzing local transaction data without exposing sensitive financial information to external systems.
    Risk Management: Assess financial risks and develop personalized investment strategies based on local market data and individual client profiles.
    Algorithmic Trading: Develop and deploy proprietary trading algorithms locally, maintaining confidentiality and minimizing latency.

  3. Legal:
    Contract Analysis: Review and analyze legal documents locally to identify key clauses, potential risks, and relevant precedents while keeping confidential client information secure.
    Due Diligence: Accelerate the due diligence process by using local AI to analyze large volumes of legal and financial data without compromising confidentiality.
    Legal Research: Perform comprehensive legal research using local AI-powered tools, ensuring client data remains private.

  4. Manufacturing:
    Predictive Maintenance: Analyze sensor data from machinery locally to predict equipment failures and optimize maintenance schedules, preventing costly downtime and protecting sensitive operational data.
    Quality Control: Use local AI to inspect products and identify defects in real-time, improving quality control and protecting proprietary manufacturing processes.
    Supply Chain Optimization: Manage and optimize supply chains by analyzing local inventory data, demand forecasts, and logistics information while maintaining confidentiality.

  5. Retail:
    Personalized Recommendations: Provide customers with personalized product recommendations based on their purchase history and preferences, all while keeping customer data secure and on-site.
    Inventory Management: Optimize inventory levels by analyzing local sales data, demand patterns, and supply chain information.
    Targeted Marketing: Develop and deploy targeted marketing campaigns based on local customer demographics and behavior.

  6. Small and Medium-Sized Businesses (SMBs):
    Competitive Advantage: SMBs can leverage local AI to gain a competitive edge by offering personalized services, optimizing operations, and making data-driven decisions without relying on expensive cloud-based AI solutions.
    Finance Management
    Key Advantages Your Solution Offers:
    Confidentiality: Highly sensitive data remains within the organization's control, addressing privacy concerns and regulatory requirements.
    Local Processing: Reduces latency and enables real-time analysis, crucial for applications like fraud detection and predictive maintenance.
    Cost-Effectiveness: A low-cost solution makes AI accessible to a wider range of businesses, particularly S2MBs.
    Efficiency: A small and efficient solution minimizes resource requirements, making it easier to deploy and manage.
    Embeddings: Embeddings facilitate semantic search and analysis, opening up new possibilities for understanding data and extracting valuable insights.

---------Estate Agents-----------

Personalized(Confidential) datasets on individuals = Voice mapping, thought mapping, ethics, standards, Legacy Ideals and Images, regrets, humor, experiences etc

Egyptian analogs
After death of the Khet or the "physical body" we preserve as much of this as possible
Sah or the "spiritual body"
Ren or the "name, identity"
Ba or the "personality"
Ka or the "double" or "vital essence"
Ib or the "heart"
Shuyet or the "shadow"
Sekhem or the "power, form"

Unique legacy preservation methods = Finance/Planning for future and future generations, a Personal mausoleum or Family mausoleum physical or digital

Butler/Concierge services =

----------Enterprise (aegis) system----------