Industrializing data science: a view from the trenches

WED 11:15 - 11:45

Lecture hall 2

Over the last few years, many companies have experimented with data science. With potential business value demonstrated by a proof-of-concept, all that remains is industrializing the developed algorithms: building production-grade machine learning applications, connecting them to live data streams and adapting the current business processes. However, in practice, it remains challenging to bring these data science solutions to production, leaving many projects stranded in the proof-of-concept phase. But how do you manage the industrialization of machine-learning systems deliver the promised business value?

In this talk, we will identify the key challenges using real-life examples. We will focus on facilitating collaboration between data scientists and data engineers, integrating this new type of applications with existing IT systems, and establishing involvement of end-user from the business. Finally, we discuss several concrete solutions.

  • Theme
    Data Science

    Organisaties beschikken al over extreem veel data. De grote uitdaging zit erin om met de beschikbare data waarde toe te voegen aan een proces of klanttraject. Data science is daarvoor uitstekend geschikt. Finance en het voorspellen van consumentenbehoeften zijn twee gebieden waarop data science effectief is toe te passen. De investering loont sowieso, want beschikt een organisatie over meer inzicht, dan zijn ook slimmere keuzes te maken. Het thema data science neemt precies hierom een steeds prominentere rol in tijdens de Big Data Expo.