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AI Growth 2: AI Data Sources and Lifecycle

Focused Data Funnels Drive Global Personal Growth at Low Costs

(2:10 reading time)
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AI Data Issues: Lack of high quality data to train AI's leading to poor data and model collapse.

AI Pain Point:

Insufficient new high quality data to train AI leads to AI's trained on other AI models' outputs. This has been proven poisonous, causing AI model collapse.

Data Lifecycle: Continuous optimization of AI assistance through real-world interactions

Expandiverse IP Advance:

Expandiverse IP’s data lifecycle continuously optimizes AI data with visible “quantitative funnels.” These use real-world data from real interactions to optimize content, choices, and solutions — continuously improving data quality, safety, and growth.

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Innovative Funnel System produces proven solutions for individual excellence with real-time, low-cost delivery.
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Continuous quantitative AI improvements from user interactions. AI solutions continuously improve, driving efficiency and growth

The Big Idea:

Expandiverse IP continuously enhances the content and choices that AI presents privately across a user’s devices, learns from their interactions, and shows each user their progress and gaps so they can expand their control.

How does Feedback Optimization work? Expandiverse IP’s quantitative funnels enhance each user privately, and AI training with anonymous data from real interactions. It continuously improves content and choices that are proven to enhance user goals, increasing real-time speed, personalization, and growth.

What’s the Difference? This approach employs low-cost computing lookups of proven “best solutions” instead of generating new unpredictable AI responses. This personalizes AI accuracy, delivers it across devices, and accelerates its real-time speed — growing its safety, satisfaction, and engagement.

Aligns AI solutions with users’ goals, ensuring personalization and improving outcomes. AI cost reduction from less reliance on data centers and increasing on-device processing.

aI's next level:

Here’s how Active Knowledge drives real-time insights and user empowerment:

  • User Goals Automation: Aligns AI solutions with users’ goals, ensuring personalization and improving outcomes.
  • Real-Time Data Insights: Learns from real-world user interactions to increase safety by producing continuous improvements.
  • Cost Reduction: Reduces reliance on data centers by increasing and optimizing on-device processing, increasing privacy while reducing environmental impact.
  • Personalized Progress: Reports individual achievements and remaining gaps privately, enhancing user engagement, gamification, and satisfaction.

The Big Picture: Expandiverse IP transforms AI into a scalable people-directed platform, driving personal and global growth.

Monetization:

Struggling with unreliable AI data? Expandiverse IP’s data lifecycle turns this problem into new revenue streams by aligning AI solutions with users’ personal goals, to turn goals into choices into transactions:

  • Data-Driven Revenues: With a continuous improvement loop for AI solutions driven by user interactions, increasingly accurate and effective solutions grow deep connections between people’s wants and responsive vendors.
  • Market-Leading Data Insights: Expandiverse IP learning provides vendors with insights derived anonymously from goals-focused users, enhancing these vendors’ competitive offerings and relationships.
  • Personalized AI Solutions: These tailored AI solutions and services adapt to user desires, providing higher satisfaction and retention rates.
  • AI-Powered Innovating: Expandiverse IP data funnels reveal gaps that trigger accelerated innovations, evolving products and services to fit today's rapid changes in user needs.
Continuous improvement loop for AI solutions: Driven by private user interactions. Deeper connections between people’s wants and solutions presented
Inclusive personal growth for all drives sustainable private markets at world scale

Scenarios:

Explore the potential of this real-world data lifecycle on the climate crisis:

  • User Scenario: Millions who experience environmental disasters add the goal of sustainable food and switch to eco-friendly grocery products. On seeing their personal and collective impact, shares this goal on social media for others to adopt in a few clicks to help stop environmental disasters.
  • Business Scenario: Processed food companies track sustainability goals and collective market transitions, prioritizing the right sustainable features to stay in front of consumer trends and grow their market share.
  • Global Scenario: Industry leaders see the growing sustainability competition and its impact on market shares, prompting major industry shifts toward more sustainable products, and major business shifts toward a more sustainable global economic system.

The Bottom Line: 

Integrating Expandiverse IP enables AI providers to solve data challenges and reduce AI costs, by helping lift billions daily — kick-starting a Global AI Renaissance.

Connect with us today to explore how Expandiverse IP can transform AI data challenges into new revenue streams with global opportunities.

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The People-Decided AI Solutions Economy: Enable direct, personalized AI solutions to drive global growth. Deliver real-time "next best steps" to billions daily so everyone knows how to rise to the top.

For more on the Expandiverse IP quantitative process, see the AI Revenues page.

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Accelerate Personal Growth

Dan Abelow,
Expandiverse Innovator and Founder

3-minute Bio: Click to view full size

 

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