The five important pillars of a machine learning strategy and how to apply them to your organisation

DON 11:15 - 11:45

Zaal 2

To make your organisation successful in applying machine learning, a good strategy is indispensable. We discuss the essential aspects each successful machine learning strategy should address and why they are necessary.
Every strategy starts with the type of value you want to create for your organisation, and why you are applying machine learning in the first place. This forms the basis of the strategy itself.

We will then go over each of the five pillars that a machine learning strategy should take into account. Next we discuss in depth the challenges we often see within organisations that do not have a well-aligned machine learning strategy. Focusing on one pillar as an example, we will demonstrate how you can create your own machine learning strategy. This includes identifying developments in your industry, the challenges and opportunities they pose, and ways to tackle them.

In the end we will zoom out again and show how the resulting strategy comes together with all pillars and aligns with your own business strategy. You will leave with a practical way to apply this process for yourself.

  • Thema
    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.