Van BI naar Advanced Analytics

  • Tuesday, 23 May 2017
meetup van BI naar Advanced analytics

Business Intelligence en Analytics zijn in de afgelopen twee decennia steeds belangrijker geworden voor de business en de wetenschap. Advanced analytics geeft een organisatie de mogelijkheid om de processen en de performance te verbeteren. Met deze data kun je als organisatie (nog) beter inspelen op de huidige markt. Maar hoe doe je dat, waar begin je en hoe staat dit in verhouding met de traditionele Business intelligence omgeving?

Op 23 mei gaan we hier verder op in met professionals, wetenschappers en praktijkcases. Het wordt weer een interessante dag die je beslist niet mag missen.

             

 

Het programma

10.00   Welkom

10.15   Keynote: BI versus Analytics

11.15   Koffie en thee

11.45   Lezing

12.30   Lunch

13.30   Eerste ronde parallel workshops

  • Case 1: zorg
  • Case 2: financieel
  • Case 3: semi-overheid

14.15   Koffie en thee

14.45   Tweede ronde parallel workshops

  • Case 1: zorg
  • Case 2: financieel
  • Case 3: semi-overheid

 

15.30   Human life beyond Analytics - Barry Devlin

Teaser:

When big data first came to prominence, we thought it would improve and transform business through advanced analytics. And so it did, enabling completely new data-driven approaches to marketing, manufacturing, and more. What we missed was that it would also transform society, particularly through its enablement of an extensive and novel wave of artificial intelligence (AI). The question now is: how will human life look as big data, advanced analytics and AI, rather than software, “eat the world”?

From chat-bots to autonomous vehicles, from game playing to decision making, from fake news to deep learning, a combination of big data, algorithms and AI is transforming work, politics, media, and economics. In some areas, it’s just becoming visible, in other areas the outcomes seem clear. But unintended consequences lurk at every turn. In this keynote, Dr Barry Devlin explores the possible ethical, economic and social consequences of the current growth of a data-driven, algorithmic, AI-implemented world and offers some thoughts on how we must—and can—adapt if human life is to thrive.