The document outlines a vision for Epistema, a product that uses AI and graph databases to track knowledge and assign truth values. It aims to allow better, faster decision making based on comprehensive and credible research. By looking at patterns of agreement and disagreement, Epistema follows knowledge over time to bring truth back in an era of post-truth. It analyzes data, claims, peer reviews, and engaged users to make trusted decisions through an augmented intelligence process.

1. Collaborative,
Comprehensive,
Credible
Epistema
January 2017

2. Our Vision
Allow better, faster more reliable decision making,
based on
comprehensive and credible research process
Bring Truth back in a “post-truth” era

3. Epistemology 101
Our sources of Knowledge:
Perception
Reasoning
Memory
Testimony
Individual
Communal
Principle,
Generative
Secondary
Big Data
Crowd
Sourcing

4. The Scientific Revolution
Our sources of Knowledge:
Perception - Lab
Reasoning - Theory
Memory
Testimony - Peer Review
Individual
Communal
Principle,
Generative
Secondary
Big Data
Crowd
Sourcing

5. Communitarian
Epistemology
Looking into smart patterns of agreements and
disagreements
Epistema: A product using AI and Graph DB to follow
Knowledge and assign Truth-values

6. Epistema Process - Augmented
Intelligence
DATA
CLAIMS
PEERS
ENGAGED USERS KNOWLEDGE
BASE
AGREEMENT
PATTERNS AI

7. Thank You

8. Structured discussion

9. Automatic analytics - Trusted decisions

10. Automatic analytics - Reliability over Time

11. 400 Documents
in a Single Glance