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

THU 11:15 - 11:45

Lecture hall 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.

  • Theme
    Data Science

    De impact van Data Science op onze business is enorm. Het ontsluiten van gestructureerde en ongestructureerde data door (zelf)lerende modellen vindt toepassing binnen allerlei bedrijven. Het oplossen van grote vraagstukken zoals: 'Hoe kan ik mijn klanten persoonlijker benadrukken met onze e-mailcampagnes?' of 'Kunnen we de hoeveleheid fraudegevallen bij aanvragen terugdringen?' gaat steeds sneller en effectiever door het gebruik van deze voorspellende toepassingen. Data Science helpt om continue waardevolle resultaten te behalen en te innoveren.