Can machines see the invisible? & Building a data infrastructure at scale.

Join Data Science Festival - London at Yieldify this month for two great speakers, Miriam Redi and Iason Bakogiannis.

SCHEDULE
6.00pm doors open
6.15-7pm talk - Miriam Redi
7:00 - 7:30 pm - Beer & Pizza
7:30 - 8:15pm talk - Iason Bakogiannis
8:15 - 8.45pm drinks and close

Miriam Redi: Can Machines See the Invisible?

Summary: Vision algorithms have achieved impressive performances in visual recognition. Nevertheless, an image is worth a thousand words, and not all these words refer to visible properties such as objects and scenes. In this talk we will explore the subjective side of visual data, investigating how machine learning can detect intangible properties of images and videos, such as beauty, creativity, and more curious characteristics. We will see the impact of such detectors in the context of web and social media. And we will analyze the precious contribution of computer vision in understanding how people and cultures perceive visual properties, underlining the importance of feature interpretability for this task.

Bio: Miriam Redi is a Research Scientist at Yahoo Labs London. Her research focuses on content-based social multimedia analysis and computational advertising. In particular, she explores ways to automatically assess visual aesthetics and creativity, and exploit the power of computer vision in the context of web, social media, and culture understanding. Miriam got her Ph.D. at the Multimedia group in EURECOM, Sophia Antipolis. After obtaining her PhD, she was a Postdoc in the Social Media group at Yahoo Labs Barcelona. Since then, she maintains collaborations with main academic research groups from both the multimedia and the social media communities.

Iason Bakogiannis: Building a data processing infrastructure at scale

Summary: Data Infrastructure is becoming a necessary part of a company’s infrastructure. Increased interest in this area has spurred a boom of frameworks, systems and managed services. In this talk we will share our data processing infrastructure and the reasoning behind it. We will also discuss how this infrastructure enables us to consume thousands of events every second from our customers and deliver improved user experience, performance and insights.

Bio: Iason Bakogiannis - Head of Data Engineering at Yieldify. Iason is responsible for building and leading the Data Team at Yieldify. He has a Masters in Intelligent Systems from KCL. After completing his masters he worked in the field of computational advertising focusing on big data infrastructure and machine learning applications.