r d in the software world
play

R&D in the software world Franois Bancilhon - PowerPoint PPT Presentation

Disruption, innovation and R&D in the software world Franois Bancilhon twitter.com/fbancilhon francois.bancilhon@data-publica.com www.data-publica.com Data about me Franois Bancilhon Academia (1972-1989) 17 years INRIA 1.


  1. Disruption, innovation and R&D in the software world François Bancilhon twitter.com/fbancilhon francois.bancilhon@data-publica.com www.data-publica.com

  2. Data about me

  3. François Bancilhon  Academia (1972-1989) 17 years INRIA 1. University of Paris XI 2. MCC 3.  Start ups (1989-) 24 years O 2 Technology (1989-97) 1. Xylème (2000-) 2. Arioso (2000-05) 3. Mandrakesoft/Mandriva (1998-) 4. Ucopia (2003-) 5. Data Publica (2011-) 6.

  4. What is simple is false What is complicated is incomprehensible

  5. Disruption • We are living a new economic revolution • Major disruptions caused by the Internet, the Web and social networks • Disruption • Changes in the rules • New games • New players

  6. Disrupted

  7. To be disrupted

  8. Not disrupted

  9. Innovation • Substantial improvement or creation of new products, services or internal processes • Generating a two digit growth of the associated revenue

  10. Innovations

  11. What changed in the innovation scene (in Europe)? • VCs • Angels investors • Mentors • Incubators • Pitch contests • Start up programs

  12. What is different in the software innovation scene? • Accelerators (3-6 months) • App contests (2-4 weeks) • Hackathons (2 days and 2 nights) • Time is moving faster

  13. Innovation time is getting shorter • Start ups • Incubators • Accelerators • Hackathons • Accelerators are software specific

  14. Drastic changes in software engineering • Between 2000 and 2010, the cost of software development has dramatically decreased • Project development • Number of person.years • Elapsed time

  15. What made this progress possible? • Open source software • SaaS • SaaS + open source = Mash ups • Geek social networks • Agile methodology • Cloud

  16. Impact of those changes • Drastic reduction of the barrier to entry in many areas • Cost and time • Software development (in € and time) is not the critical resource in a software start up life anymore • Made accelerators possible

  17. Innovation: versatility • The average software start up changes its business model three times in its first twelve months • Examples in the data world • Data Publica, qunb, Infochimps, BuzzData, Factual, Datamarket, Scraperwiki

  18. Technology centric companies Build Look for product customers

  19. Customer centric companies Look for Build customers product

  20. Innovation summary • Cycle time is short: 3 months • Business model keeps evolving • Customer driven reactivity • There is currently no R&D model associated with that behavior

  21. Can we invent agile R&D?

  22. An old R&D/Innovation impedance mismatch • R&D funding requires technology challenges « verrous technologiques » • Need to show you are doing something difficult • Embedded in FP proposals • Embedded in French R&D funding • Focuses on difficult problems

  23. DATA PUBLICA

  24. Off the Custom shelf Web Open Data Text Mining Crawl Structuration Delivery Internal Scraping Augmentation Datasets Visualization ETL, etc. … Datasets Editior Socail Networks

  25. Data Publica : expertise Crawl Scraping Transformation ETL Data cleansing Text & Web mining Databases Open Data Web Social network Generic dataviz Private data Specific dataviz Crowdsourcing Content Presentation Data

  26. Dataset Examples • Public Tender announcements • Information on public organisations • Economic activity (by vertical and by geography) • Economic dashboard on 36,000 cities • Employment dashboard on 300 employment zones • Retail stores and services • Hotel room prices • Stores opening hours • Electric car charging stations • Elected officials

  27. Data Publica • We surf on a new trend (data) • We are here to disrupt major players • We got limited funding • We build software super fast • Our business model keeps being refined • Six months is long term • We try to cooperate with R&D labs

  28. François Bancilhon twitter.com/fbancilhon francois.bancilhon@data-publica.com www.data-publica.com

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend