Building a smarter
organization with Analytics & AI

A powerful foundation for AI success

Thursday 21 March | Amsterdam | #Road2AI

Checkout the Roadshow coming to a city near you!

Artificial Intelligence (AI) has become mainstream and is fueling more and more aspects of businesses and day-to-day life.

Beyond the hype, the question is how data-driven innovation can be brought to life and put in action to resolve real business problems. What steps are needed to move AI out of the lab and into business operations to realize the desired outcomes?

The challenge resides in complex IT landscapes, departmental siloes, and the ability to deploy analytics where needed.

An analytics platform supports and accelerates the entire Analytics Lifecycle from Data to Discovery and Deployment. To succeed with AI, organizations must be able to orchestrate and govern their analytics ecosystem through the entire Analytics Lifecycle.

Come learn how to enable Business, IT and data scientist to collaborate in transforming data into actionable insight and business value, with the right balance between choice and control.


Thursday, 21 March 
08:30 - 09:15
09:15 - 09:30
Heere Blokhuis: Sales Leader - SAS Netherlands
09:30 - 10:15
Klantverhaal ING: Disrupting Working Capital Management using Artificial Intelligence
Peter Bas Oosthoek: Director Asset Experience - ING
10:15 - 10:45Digitale Transformatie bij Rijkswaterstaat 
Perry van der Weijden: CIO - Rijkswaterstaat
10:45 - 11:15Break
11:15 - 11:35Day2Day real life AI examples
Edwin Peters: Pre-Sales Director - SAS Netherlands
11:35 - 12:15Trust: the single currency for ethical and productive AI
Mark Bakker: AI Practice Lead - SAS Netherlands
12:15 - 13:00Lunch & Live Demo Experiences - LET'S PLAY DATA - SMART DARTS
13:00 - 13:30
Jos van Dongen: Principal Consultant - SAS Netherlands 
13:30 - 14:15Getting AI out of the lab and into the real world
Edwin van Unen: Principal Analytics Consultant - SAS Netherlands 
Olivier Penel: Advisory Business Solutions Manager - SAS
14:15 - 15:00Towards an organisation driven by analytics, the case of the FPS Finance Belgium
Dierk Op’t Eynde: Senior Advisor Strategic Support at FPS Finance and Board Member of the Royal Statistical Society of Belgium
15:00 - 16:30Networking Drinks 
09:30 - 16:30'Meet the expert' demo sessies

Meet the experts

Machine Learning

Analytics Platform

Data Management

Data Governance

Artificial Intelligence

Data Visualization

Open Source & SAS


Piet Heinkade 3
1019 BR Amsterdam

Register now for this event

Why attend?

Learn what is needed to orchestrate the new age of analytics – from data wrangling – through to tangible business results. During the session you will take away how to:

  • Orchestrate an innovation-first and expanding analytics ecosystem
  • Promote collaboration of your talents across business, IT and technical roles
  • Scale and automate repeatable processes to keep pace with changing demands through your Analytics Lifecycle
  • Maintain the right balance between choice and control
  • Scale AI projects to enterprise wide availability leveraging cloud technology and considering compliance and ethics.
  • Interpretability, trust and governance of data regardless the source

This is a free event.

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 Machine Learning
 Artificial Intelligence
 Data Governance
 Data Management
 Analytics Platform
 Data Visualization
 Open Source & SAS

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Successful execution of an analytics, and thereby AI strategy, needs the right balance of choice and control.


Creativity and innovation flourish in open spaces. You need flexibility and freedom to attract the best analytical talent, use a wide variety of techniques and develop processes that work best. You need the flexibility to use multiple programming languages and analyze any data in any environment and to keep up with accelerating demands.


Analytics chaos can creep up. Once you lose control of your data, you lose trust in the system and its outputs. Transparency, governance and security become essential for maintaining trust in models and analytical results. Becoming even more critical as you scale development, monitoring and refinement of analytics applications and their associated processes.

At the intersection of data, software, and ingenuity, the future is being redefined. After all, when curiosity meets capability, progress is inevitable.