ODSC Europe will be here in less than a month! It’s going to be an amazing experience whether you’re in person or joining us virtually. In-person guests will enjoy the historical, yet, tech savoy atmosphere of The Tobacco Dock, while our virtual attendees will enjoy the freedom of being able to stream the conference anywhere. But one thing that both can enjoy is the incredible sessions that the ODSC has put together this June 14th-15th.
So let’s take a look at a few!
Data Communication in the Age of AI
Alan Rutter, Founder, Fire Plus Algebra
In this new era of AI, the emergence of generative AI and large language models has not only been a product of the work of data scientists but also promises to reshape the roles of all data professionals. To ensure career longevity and adaptability, it is important for professionals in the field to proactively prepare themselves for the profound impact of this transformative shift.
The Next Generation of Low-code Machine Learning
Devvret Rishi, Co-founder and Chief Product Officer, Predibase
In this session, an alternative approach called declarative machine learning is introduced. It offers flexibility and simplicity by providing a configuration-based modeling interface. Ludwig, an open-source framework, allows citizen data scientists to specify advanced machine learning pipelines using a low-code approach. This approach has been successfully adopted by leading technology companies like Meta (Facebook), Uber, and Apple.
Implementing Generative AI in Organisations: Challenges and Opportunities
Heiko Hotz, Senior Solutions Architect for AI & Machine Learning, AWS
In 2022, generative AI made a noteworthy impact. Social media platforms showcased images generated by machine learning models like DALL-E and Stable Diffusion. Despite market challenges, startups utilizing generative models secured funding, while major tech companies began incorporating these models into their mainstream products. In this session, you’ll learn about both the challenges and opportunities that await this exciting technology.
Data Storytelling For Business
Isaac Reyes, Co-founder and CEO, StoryIQ
Data has become an indispensable asset for every business, no matter the industry. In this session, you’ll learn about two indispensable elements of giving great presentations with and about data: compelling data visualizations and designing a coherent and persuasive narrative around data. The skills you’ll take for this session will follow through the rest of your career.
Generative NLP models in customer service. How to evaluate them? Challenges and lessons learned in a real use case in banking
Clara Higuera Cabañes, PhD and María Hernandez Rubio, Senior Data Scientists, BBVA AI Factory
As Text-based communication between customer service agents and clients, including within the banking industry, continues to experience significant growth, the power of NLP models becomes quite clear. This session explores our experimentation with generative NLP models to support financial advisors in their daily client interactions.
How to bring your data to LLMs?
Timo Möller, Co-Founder, deepset
ChatGPT’s popularity is unquestioned. It’s the fastest-growing user application ever, but it still has limitations due to its training data. One example of this is the instances where it may generate inaccurate information, referred to as hallucinations. This session will explore the relationship between the data you use, and the effect on LLMs.
Explainable Time Series Classification
Elisa Fromont, Professor | Faculty, Université de Rennes | IRISA/INRIA
This session will dive into the importance of explaining predictions from complex machine learning models like neural networks. You’ll be provided a brief overview of state-of-the-art papers on this topic, including methods like LIME and SHAP.
Should you trust your copilot? Limitations and merits of AI coding assistants
Emanuele Fabbiani, PhD, Head of Machine Learning, Xtream
The news of AI-powered coding assistants, such as GitHub Copilot, and others has caused massive waves within the software engineering community. But the question is, should you trust it? Is there a happy medium between using AI coding assistants? In this talk, we’ll look into both the limitations and merits of these programs and what they mean for the future of software development.
The Importance of Domain-Specific LLMs and the Engineering Needed to Deploy Them in Your Own Corporate Environment
Guglielmo Iozzia, Associate Director – ML/AI, Computer Vision, MSD
This session will focus on the limitations and risks associated with Generalist Large Language Models implemented by major tech players and offered through subscription-based APIs. These risks include lack of transparency, bias, inability to explain results, inaccuracies, lack of domain-specific knowledge, and concerns regarding intellectual property and sensitive data sharing.
Then, we’ll take a look at the idea of utilizing domain-specific fully Open Source LLMs optimized for deployment in privately managed environments with limited computational power.
On the engineering of Social Values
Carles Sierra, PhD, Director, Artificial Intelligence Research Institute
Finally, we have this session which will explore the field of Ethics in AI. Specifically, addressing moral, legal, and technical issues related to ethically-compliant autonomous agents. You’ll learn about important challenges such as the challenge of engineering moral values into autonomous agents. We’ll touch on the current findings and then outline a vision for future research in this field.
How about those sessions? Each touch on critical aspects of data science and the growing influence of AI within society; whether it’s the ethical use of AI or data, or how to use the emerging technology to enhance your own projects. But to catch these awesome sessions, you first have to get your ticket for ODSC Europe. You can join us on location and enjoy the atmosphere of The Tobacco Dock or virtually from anywhere on Earth. Either way, get your pass today and experience for yourself the future of data science for 40% off.