Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
RRD - Rapid Researchand DevelopmentFast methodology forintelligent software designDr. Valery Tsourikov                    ...
   RRD methodology was born after graduates of    AICreates training course started intelligent    software projects and ...
 Artificial Intelligence Systems are complex  by nature A.I. is a very broad area and evolves rapidly   To design good ...
   All four activities happen simultaneously:     Learn - Research -Teach -Develop   Each team member is a researcher wh...
   Intelligent software architect describes the project    and divides new topics among team members   At frequent statu...
   Phase 2. Team starts normal design process,    using SCRUM/sprints methodology, for example   Changes of specificatio...
   Fast new knowledge acquisition by the group   Research prototype can be created quickly even    if team members are n...
   Development of A.I. system for dynamic optimization of multi-    spread portfolios for Predictive StatArb trading stra...
   Team met twice a week, plus daily reports on Skype   Lessons learned:     RRD methodology greatly accelerates develo...
   Rapid R&D methodology was designed to accelerate    development of complex intelligent software   All team members mu...
Upcoming SlideShare
Loading in …5
×

Rrd methodology april 13_12

529 views

Published on

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Rrd methodology april 13_12

  1. 1. RRD - Rapid Researchand DevelopmentFast methodology forintelligent software designDr. Valery Tsourikov Valery Tsourikov 2012 (c). All rights reserved
  2. 2.  RRD methodology was born after graduates of AICreates training course started intelligent software projects and realized that they had to learn newest ideas in mathematics, econometrics and predictive analytics in a very short period of time Valery Tsourikov 2012 (c). All rights reserved
  3. 3.  Artificial Intelligence Systems are complex by nature A.I. is a very broad area and evolves rapidly To design good A.I. software developers must quickly learn a lot of new knowledge Problem: how to design complex A.I. software in a short period of time? Valery Tsourikov 2012 (c). All rights reserved
  4. 4.  All four activities happen simultaneously: Learn - Research -Teach -Develop Each team member is a researcher who can program, saving time on prototyping phase Project has two phases: Research-by-Prototyping and Development Valery Tsourikov 2012 (c). All rights reserved
  5. 5.  Intelligent software architect describes the project and divides new topics among team members At frequent status meetings, each person teaches others on his topic and shows current prototypes Prototypes are coded in high level language, like R At this phase changes of project requirements are allowed between meetings after prototypes reviews Phase 1 ends after the architect approves methods, structures and algorithms to be used in the software Valery Tsourikov 2012 (c). All rights reserved
  6. 6.  Phase 2. Team starts normal design process, using SCRUM/sprints methodology, for example Changes of specifications are not allowed between sprints during Phase 2 Valery Tsourikov 2012 (c). All rights reserved
  7. 7.  Fast new knowledge acquisition by the group Research prototype can be created quickly even if team members are not domain experts Of course, Phase 1 is pretty intensive, but people usually love learning new things in friendly team environment Valery Tsourikov 2012 (c). All rights reserved
  8. 8.  Development of A.I. system for dynamic optimization of multi- spread portfolios for Predictive StatArb trading strategies Team of five: architect – Ph.D. in A.I., three developers: two Ph.D. students, one – graduate student Phase 1 – three weeks. Team quickly learned and prototyped ensemble-type portfolios with different predictive components. Languages used: R, C#. Research-by-Prototyping helped choose the latest methods for Predictive StatArb. Software will be coded in C++ to deliver superb performance, including high-frequency version Valery Tsourikov 2012 (c). All rights reserved
  9. 9.  Team met twice a week, plus daily reports on Skype Lessons learned:  RRD methodology greatly accelerates development of complex A.I. software  R language is very good for prototyping  Saturday meetings were the most productive, because the team wasn’t disturbed  Enthusiasm of team members is still the most important factor of success Valery Tsourikov 2012 (c). All rights reserved
  10. 10.  Rapid R&D methodology was designed to accelerate development of complex intelligent software All team members must be able to do simultaneous research and development RRD greatly reduces time-to-market cycle and helps deliver software based on newest methods Valery Tsourikov 2012 (c). All rights reserved

×