Adesso Se · XETR:ADN1

Adesso — Investor Presentation (September 2016)

12 slides from Adesso's investor presentation, Sep 1, 2016

  1. Slide 1: iOS Praktikum TU München

    iOS Praktikum TU München WS 2015/2016 Olaf Schumacher Sacha Catelin 01.09.2016

  2. Slide 2: Facts & Figures

    Facts & Figures Employees ► > 1,500 in adesso Group Sales revenues ► Expected : 192 – 198 million € 01.09.2016 2 Company presentation

  3. Slide 3: Business Model

    Business Model 01.09.2016 3 iOS Praktikum TU München WS 2015/2016

  4. Slide 4: References

    References 01.09.2016 5 iOS Praktikum TU München WS 2015/2016

  5. Slide 5: Motivation – in|forming

    Motivation – in|forming ► Motivation: > ‚What does your mobile know‘? > Mobile phone collects a lot of personal information Supplying information to the user ► Naming: > Information: app will collect information > Forming: collected data will be formed and interpreted > Informing: app will inform t

  6. Slide 6: Scenarios – in|forming

    Scenarios – in|forming ► Sources of information: > GPS-coordinates > Address book > Photos > Internet ► Scenarios: > Detecting most important places > Analyzing personal behavior > Analyzing photos > Analyzing address book ► Team might create additional creative ideas during the project 01.09.2016 7

  7. Slide 7: Detecting most important places

    Detecting most important places Detecting important places: ► User lives in a big city ► Works 15 km away and uses public transportation  App recognizes home and office  Assume home / office from time of day  Additional check of addresses against known business entries 01.09.2016 8 iOS Praktikum

  8. Slide 8: Analyzing personal behavior

    Analyzing personal behavior Analyzing personal behavior: ► User goes 3 times a week to the gym ► 5 km away and usage of bike  App recognizes the place is gym  Conjunction between the duration and the location  Analyzing the speed to find out that a bike was used 01.09.2016 9 iOS Praktikum TU Münc

  9. Slide 9: Analyze your photos / address book

    Analyze your photos / address book Analyzing address book and photos: ► User travels with friends and makes photos ► User has a well- maintained address book of friends and relatives worldwide  App extracts the time and location information from the pictures  Face detection with check against the

  10. Slide 10: Functional requirements – in|forming

    Functional requirements – in|forming ► App learns from recurring situations ► After learning period: app should be able to tell where the person lives and works ► Extract information from pictures with Geo- Coordinates  add this information to a personal movement profile ► Use information from all

  11. Slide 11: Nonfunctional requirements / User interface – in|forming

    Nonfunctional requirements / User interface – in|forming ► User Interface: > Collector: gathers information and should be more or less invisible to the user > Reporting: Display of the information and intuitive digging into details ► Performance ► Data Integrity ► Backup functionality for the collec

  12. Slide 12: iOS Praktikum TU München WS 2015/2016

    01.09.2016 iOS Praktikum TU München WS 2015/2016

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