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, 25 April|
|12:30 - 13:30||Welcome Lunch|
|13:30 - 13:45||Opening|
Michel Philippens, Analytics Advisor, Head of Customer Solutions at SAS Belux
|13:45 - 14:30||Getting AI out of the lab and into the real world|
Frederik Vandenberghe, Business Solutions Manager - Global Technology Practice at SAS
Olivier Penel, Advisory Business Solutions Manager at SAS
|14:30 - 15:15||Euramax|
Peter Wijers, Manager business ICT & BI
|15:15 - 15:45||Break - Let's play data-smart darts|
|15:45 - 16:30||Trust: the single currency for ethical and productive AI|
Mark Bakker, AI Practice Lead for SAS Netherlands
|16:30 - 17:00||Towards an organisation driven by analytics, the case of the FPS Finance Belgium|
Dierk Op't Eynde, Senior Advisor Strategic Support at the Federal Public Service Finance and Board Member of the Royal Statistical Society of Belgium
|17:00 - 17:10||Closing|
|17:10 - 18:10||Closing cocktail|
Pullman Brussels Centre Midi
Place Victor Horta 1
Register now for this event
Learn what is needed to orchestrate the new age of analytics – from data wrangling – through to tangible business results. During the session you will learn more about:
- AI, governance, ethics and the need for reliable data.
- Data-driven innovations in practice.
- The latest developments in AI, machine learning, data preparation, data governance and cloud and container possibilities.
- Platform as a Service.
- Maintain the right balance between choice and control
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.