Live@SAS: Trustworthy AI & Analytics
The Good, The Bad, and The Algorithm: A Journey Towards Trustworthy AI
4 October 2023 | Tervuren
As AI continues to revolutionize the way we live and work, it's important to consider the ethical dilemmas that come with this transformation.
At this event, we’ll explore how SAS is addressing the challenges of building trustworthy AI – from avoiding bias, to ensuring transparency, accountability, and interpretability.
Our expert speakers will share insights on the latest developments in AI and ethics, and provide practical guidance on how to approach these challenges in your own projects, through the use of data and advanced analytics.
Join us at Live@SAS to grasp the importance of building trustworthy AI, and learn how you can incorporate ethical considerations into your AI and analytics strategies.
Key Learnings
- Ethical considerations are essential in AI development and deployment
- SAS addresses challenges in building trustworthy AI through strategies like bias avoidance and transparency
- Practical guidance is provided on integrating ethics into AI projects
AGENDA
| 4 October 2023 | |
| 14:00 | Welcome & Registration |
| 14:15 | Opening by Yannic De Bleeckere, Head of Pre-sales, SAS |
| 14:20 | The Good, The Bad, and The Algorithm: A Journey Towards Trustworthy AI by Joline Jammaers & Kaat Tastenhoye |
| 15:20 | Q&A Closing |
| 15:50 | Networking drink |
OUR SPEAKERS
Yannic De Bleeckere
Head of Pre-sales, SAS
Moderator
Kaat Tastenhoye
System Engineer, SAS
Kaat is your go-to problem-solving ninja. She joined the SAS crew in 2017, fueled by a passion for inspiring and empowering customers with analytics they can trust. Her mission? To help businesses extract even more value from their data—not just with fancy-pants algorithms, but also by making analytics practical, understandable, and accessible for everyone involved. When she's not serving up data-driven insights, she's fueling her curiosity with her background in Commercial Engineering from Leuven.
Joline Jammaers
Sr System Engineer, SAS
Joline Jammaers is a seasoned data scientist with a passion for optimization algorithms and a remarkable ability to explain complex concepts in a straightforward manner. With over 13 years of experience in the field, Joline has honed her expertise in various domains, making her a versatile professional. Joline's educational background is rooted in commercial engineering, providing her with a solid foundation in business principles and analytical thinking. This unique combination of skills allows her to approach data-driven problems from both a technical and strategic standpoint, delivering comprehensive solutions that drive tangible results. One of Joline's standout strengths lies in her deep understanding of optimization algorithms. She has a knack for unraveling intricate data patterns and identifying the most efficient and effective ways to optimize processes, systems, and strategies. Her proficiency in this area has proven instrumental in improving operational efficiency and maximizing business outcomes for the organizations she has collaborated with.
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