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Digitalisierung… läuft!
10.12.18
10.12.18
Ziel: optimale Pulsrate bei möglichst hoher Geschwindigkeit
Potentielle Fakoren:
• Laufzeit/Strecke (trivial)
• Atmung
• Fitness/Historie Persönliche Aktivitäten
• Umwelteinflüsse (Temperatur, Luftdruck, Luftqualität)
è Künstliche Intelligenz soll Puls-Rate anhand mittels aufgezeichnenten
Daten den Einfluss der Faktoren erklären
Möglichst erklärbare KI soll personalisierte Ergebnisse liefern:
• Welcher Parameter hat welchen Einfluss? è Diagnose
• Was würde wie stark zu einer Steigerung führen? è Empfehlung
Warum sinkt/steigt meine Laufleistung??
Erklärt von einer KI…
Digitalisierung… läuft!
10.12.18
Volatile Organic Compounds (VOCs)
Inertial Measurement Unit (IMU)
Herzrate
Feinstaub (PM10 und PM2.5)
Temperatur
Luftfeuchte
Position (GPS)
Geschwindigkeit
Digitalisierung… läuft! … nicht nur ;)
10.12.18
Zeitserie: Atmung von Long Wang (KIT Läufer) heute
Zeitserie: Herzrate/Geschwindigkeit bzw. Luftqualität
10.12.18
Prädiktion der Herzrate mittels KI
10.12.18
SDIL: Schnellere Co-Innovation in der KI-Forschung Nom
iniert für Dieselm
edaille
2019
Kategorie
Beste
Innovationsförderun
Big Data Value Association
iSpace Silver Label
Einzigartige Plattform in Deutschland zur Zusammenarbeit
von Wirtschaft und Forschung im Bereich KI-Methoden
State of the Art In-Memory-Analytics Platform
kostenlos für Forschung
Industriegetriebene Innovation Communities
Fokus auf realen Datenquellen
Sicherheit und Rechtlicher Rahmen
Zugeschnitten auf Verarbeitung industrieller Daten
Daten, Werkzeuge, Prozesse… **
jedes Projekt trägt bei: fair share/co-innovation
** gefördert durch das BmBF
10.12.18
Sprecher:
Michael Beigl, KIT
Co-Sprecher:
Elmar Dorner, SAP SE
• Condition-Based Maintenance
• Machine Log Analysis
• Association Rules for Master Data
• Predictive Maintenance Data Analysis on
SmartFactoryKL-generated Data
• Paintshop Machine Learning
• Smart Brain Data Analytics
• Machine learning for age-related macular degeneration
treatment
• Spinal cord injury analytics
• Decentralized Energy Markets Demonstrator
• Predictive Analytics for Energy Management
• Requirements analysis for energetic
construction measures
• Disaster Management Demonstrator
• Visual Query Analytics for Smart Grid
• Transforming Transport Lighthouse: Intelligent Ports
• Analytics for a Smart Air Quality Network
Industrie 4.0
Energy Smart Cities
Medicine
Smart Data Innovation Lab: Das Kompetenzzentrum mit den
meisten Projekten
Smart Data Solution Center - BW
10.12.18
Preparation Realization Finalization
50 betreute Mittelständler, 20 abgeschlossene KI-Projekte seit 2016
kostenlose Potentialanalysen auf eigenen Daten
Nach 6-8 Wochen:
• Data Analytics Workflow
• Empfehlungen für Einstieg in KI
• Transfer-Angebote

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Kit data run_final

  • 2. 10.12.18 Ziel: optimale Pulsrate bei möglichst hoher Geschwindigkeit Potentielle Fakoren: • Laufzeit/Strecke (trivial) • Atmung • Fitness/Historie Persönliche Aktivitäten • Umwelteinflüsse (Temperatur, Luftdruck, Luftqualität) è Künstliche Intelligenz soll Puls-Rate anhand mittels aufgezeichnenten Daten den Einfluss der Faktoren erklären Möglichst erklärbare KI soll personalisierte Ergebnisse liefern: • Welcher Parameter hat welchen Einfluss? è Diagnose • Was würde wie stark zu einer Steigerung führen? è Empfehlung Warum sinkt/steigt meine Laufleistung?? Erklärt von einer KI…
  • 3. Digitalisierung… läuft! 10.12.18 Volatile Organic Compounds (VOCs) Inertial Measurement Unit (IMU) Herzrate Feinstaub (PM10 und PM2.5) Temperatur Luftfeuchte Position (GPS) Geschwindigkeit
  • 4. Digitalisierung… läuft! … nicht nur ;) 10.12.18
  • 5. Zeitserie: Atmung von Long Wang (KIT Läufer) heute
  • 7. Prädiktion der Herzrate mittels KI 10.12.18
  • 8. SDIL: Schnellere Co-Innovation in der KI-Forschung Nom iniert für Dieselm edaille 2019 Kategorie Beste Innovationsförderun Big Data Value Association iSpace Silver Label
  • 9. Einzigartige Plattform in Deutschland zur Zusammenarbeit von Wirtschaft und Forschung im Bereich KI-Methoden State of the Art In-Memory-Analytics Platform kostenlos für Forschung Industriegetriebene Innovation Communities Fokus auf realen Datenquellen Sicherheit und Rechtlicher Rahmen Zugeschnitten auf Verarbeitung industrieller Daten Daten, Werkzeuge, Prozesse… ** jedes Projekt trägt bei: fair share/co-innovation ** gefördert durch das BmBF 10.12.18 Sprecher: Michael Beigl, KIT Co-Sprecher: Elmar Dorner, SAP SE
  • 10. • Condition-Based Maintenance • Machine Log Analysis • Association Rules for Master Data • Predictive Maintenance Data Analysis on SmartFactoryKL-generated Data • Paintshop Machine Learning • Smart Brain Data Analytics • Machine learning for age-related macular degeneration treatment • Spinal cord injury analytics • Decentralized Energy Markets Demonstrator • Predictive Analytics for Energy Management • Requirements analysis for energetic construction measures • Disaster Management Demonstrator • Visual Query Analytics for Smart Grid • Transforming Transport Lighthouse: Intelligent Ports • Analytics for a Smart Air Quality Network Industrie 4.0 Energy Smart Cities Medicine Smart Data Innovation Lab: Das Kompetenzzentrum mit den meisten Projekten
  • 11. Smart Data Solution Center - BW 10.12.18 Preparation Realization Finalization 50 betreute Mittelständler, 20 abgeschlossene KI-Projekte seit 2016 kostenlose Potentialanalysen auf eigenen Daten Nach 6-8 Wochen: • Data Analytics Workflow • Empfehlungen für Einstieg in KI • Transfer-Angebote