Causal inference is becoming an essential tool in industry and academia as it helps to identify true causal relationships between variables, such as how marketing affects sales or how a specific program for unemployed affects unemployment duration. This allows them to make data-driven decisions that have real impact on business outcomes and economic policy. Are you interested in more details? You are cordially invited to a walk-in session that will start with a short introduction to causal inference followed by a Q&A session. Come, discover the cause and unlock the effect!

The ability to create mental space in a world of unlimited opportunities became one of the key success factors for living a fulfilled life. Let's talk about the role our well-being plays in our careers, what it takes to be successful and how to leverage our energy to achieve our goals.

In this mentoring session we explore the power of mentorships, networking and role models, how they can positively influence your career path and why they matter. We share practical strategies for forging meaningful mentor relationships, expanding professional networks, and seeking inspiration from diverse role models. Discover why these are essential for navigating your career and gain insight on where to find support and guidance along your journey.

Generative AI is a hot topic attracting attention in the tech world across all industries. Companies are keen to turn generative AI’s potential into action to capture its benefits and drive innovation. This workshop will facilitate an open exchange and discussion amongst professionals from the financial industry, as well as academia on applications, benefits but also risks related to GenAI driving business transformation.

No matter how good your ML models, AI or analytics are, they add no business value without the support and understanding of employees across the business. The scope of this session is to discuss how to transform the culture to appreciate and respect data, how to democratise data to allow non-technical employees to reap their benefits, train data champions, and educate senior leaders for top-down reinforcement.

In the mentorship sessions, we will go through aspects of how to develop and test human-independent machine learning models as well as how to take into account that while the time passed humans do not stay constant.

I invite you to talk about the importance of open-source in this LLM revolution and how to be part of it. As a Hugging Face Fellow, I'm thrilled to guide you through a virtual tour, offering insights, practical advice, and answers to your questions about open-source models, project development, and contributions, including how to get started in the dynamic world of NLP!

One problem to solve. Two very different perspectives. As scientists, we are looking for the coolest, most innovative and typically most complex solution, one that beats the SOTA. As product consumers, we want solutions that work, are simple, stable, and fast, a.k.a. we don’t care about how sexy it is. How do we bring these two together so that the innovative work of the scientist makes into a viable product used by many regular Joes?