Talks

Data Science and TRIZ: Interconnections? Interaction?! Insights!

October 20, 11:15
Room IV

Application TRIZ based approach for identification and solving Data Science problems.Contemporary versions of TRIZ (i.e. GEN TRIZ’s methodology and ITRIZ methodology) are successfully used for creating conceptual models and problem solving to non-standard problems in numerous fields of knowledge.

The presentation described non-obvious applications of TRIZ for identification and solving problems in Data Science. The presentation is illustrated by several case studies.

Naum Feygenson

Research Engineer, Healbe Corp.

  • Research Engineer at Healbe Ltd, St. Petersburg, Russia
  • 25+ years of experience in innovation and technology consulting for leading multinational corporations
  • TRIZ Master

Nicolay Taratin

Data Analyst, Healbe Corp.

  • Data Analyst at Healbe Ltd, St. Petersburg, Russia
  • Analyst at Center of innovative and technological consulting “Algorithm”.
  • PhD (mineralogy, crystallography)

Sponsors & Partners

Sponsors

Gold

JetBrainsFirst Line Software

Silver

Dell EMCDINSVeeam Software

Embedded

Auriga

Sponsors

I.T. GroupT-SystemsUnited Frontal System Program

Individual

Andrey Terekhov

Partners

Main partners

AP KITRUSSOFT

In cooperation

Association for Computing MachineryACM Special Interest Group on Software Engineering

Technical partners

CUSTISSoftInvent7pap StudioHosting-CenterGroup MPrezentPrint SalonDPI.Solutions

With support of

RAEC

Organizers

Software Russiai-Help