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Daily Business Questions

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How to find the relevant information a-head of time in order to prepare decisions and avoid delays

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Daily Business Questions

  1. 1. © ai-one Inc. 2002-2017 Daily Business Questions The (..) most important questions every day Past | Legacy Future | Prediction Today | Real-time 20’000 Decisions Daily…!
  2. 2. © ai-one Inc. 2002-2017 Decisions are made based on data & information Information in form of text message (Concepts & Ideas)
  3. 3. © ai-one Inc. 2002-2017 How to find the relevant information a-head of time in order to prepare decisions and avoid delays
  4. 4. © ai-one Inc. 2002-2017 • Knowledge Management • Decision Making Support • Compliance & Risk Management  Relevant & significant information faster  Context verified for relevance  Feature extraction of relevant context only  Trend analysis, sentiment analysis  No back-office work and manual indexing, unsupervised learning  Generalizing of concepts for multiple use Customer Requests Autonomic & intelligent observation sentinel who selects and delivers relevant information to designated experts
  5. 5. © ai-one Inc. 2002-2017 NASA Relied on us to Turn Billions of Bits of Data into Insight.
  6. 6. © ai-one Inc. 2002-2017 Ideas and concepts*, whole descriptions or strategies, manuals and definitions, rules and procedures become a semiotic Fingerprint profile The smallest & smartest way of storing complex information Profiling Ideas & Concepts The BII-Fingerprint is a semiotic hash code representing the complexity of a idea or concept within a number. It’s the reduction of a semiotic concept into a semiotic hash code for simple communication, transport and matching an idea or concept. The BII- Agent is the working and active part of the technology. The agent is carrying the BII- Fingerprint based on the BII-Profile and is comparing and matching the BII-Fingerprint with all other BII-Fingerprint. (like a forensic AFIS system, but much faster and intelligent) The matching takes place very fast no matter if there are hundreds, or hundreds of million records to match! User selects the sample text (concept / Idea) and let the system generate the semiotic fingerprint. *Concepts: Business Rules; Law and Order; Good or Bad; Sentiment etc. Concept & Ideas 1.463856208914539743956276 Semiotic hash-code (illustration)
  7. 7. © ai-one Inc. 2002-2017 Profiling Ideas & Concepts User selects the sample text (concept / Idea) and let the system generate the semiotic fingerprint. Just fingerprint the questions and concepts you have to explore and find answers for! Bearing words are analyzed for their semantic relationships, the context, time and location, within which they are used. A virtual fingerprint graph forms of a semantic hash-code.
  8. 8. © ai-one Inc. 2002-2017 Intelligent information Management with BII-Fingerprints FP-Matching Concepts: Business Rules; Law and Order; Good or Bad; Sentiment etc. Converted into semiotic Fingerprints based on the intrinsic semantic of the text corpus The BII-Fingerprint is a semiotic hash code representing the complexity of a idea or concept within a number. It’s the reduction of a semiotic concept into a semiotic hash code for simple communication, transport and matching an idea or concept. The BII- Agent is the working and active part of the technology. The agent is carrying the BII- Fingerprint based on the BII-Profile and is comparing and matching the BII-Fingerprint with all other BII-Fingerprint. (like a forensic AFIS system, but much faster and intelligent) The matching takes place very fast no matter if there are hundreds, or hundreds of million records to match! Source/Target Questions/Challenges Match result within seconds Autonomic process with intelligent Agent’s
  9. 9. © ai-one Inc. 2002-2017 High similarity match Possible match Noise % Similar Keyword based search agents Better Results Traditional High similarity match Possible match Noise % Similar Concept based search agents Best threshold between relevant and non-relevant
  10. 10. © ai-one Inc. 2002-2017 BrainDocs™ A.I. autonomic matching and comparison of ideas and concepts … autonomic!
  11. 11. © ai-one Inc. 2002-2017 BrainDocs™ A.I. detects the intrinsic (inherent) semiotic structure in any language with unsupervised learning! The ai-one™ USP
  12. 12. © ai-one Inc. 2002-2017 Saving ∼ 80% labor-costs & -time on mission planning Autonomic discovery of innovations & inventions on public data source trough www Autonomous success check on over 300 investment projects, for: roadmap targets, milestones etc.
  13. 13. © ai-one Inc. 2002-2017 References Awards University Reference Key Accounts Interviews Publication "Wissensrepräsentation und - organisation" aus dem Blickwinkel von Bibliotheken, der Wissenschaft und aus der Praxis in internationalen Unternehmen Greg Funaro at NASA

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