#1 skyconf - the climactic moment of the "Silesian AI" week - organized by:
- EESTEC LC Gliwice
Artificial Intelligence, Machine Learning, Deep Learning, Statistics, and Data Science
Free, registration via Meetup is mandatory
4 PM - 9 PM
Thursday, March 14th, 2019
Aula A, CEK
Stanisława Konarskiego Street 18B[masked] Gliwice, Poland
16:00 - 16:45 - Vladimir Alekseichenko, Founder & CEO Data Workshop, "Python, or the language that AI understands"
"Do you know that the world is changing faster than you think? Well, even faster! What should we expect? And really, does artificial intelligence exist? If so, where? Or is the language she understands? What language is it? It's about this and a few other topics will be at the time of the lecture."
16:55 - 17:40 - Krzysztof Suwada, Google Developer Expert in Machine Learning, Brainly - "Easy introduction to NLP"
"Natural Language Processing is not an easy task. During the talk, I will present how we can make computers understand the text. Beginning with a simple approach and mitigating obstacles and problems to achieve state of the art performance at the end of the day. No previous knowledge about NLP is required. All the examples will be provided using Python code."
17:50 - 18:35 - Sébastien Foucaud, Xing, Berlin - "Productivising Machine-learning at scale (… and at the end your algorithm doesn’t really matter …)"
"The parallel emergence of easily accessible open-source Machine-Learning (ML) framework, and a community of ML specialists opens new vistas of product development that could benefit all companies across sectors. However, building a fully functional ML product at scale for a company requires more than a good knack on algorithmic. Based on practical examples such as the XING Job Recommendation System, I will elaborate on the need to implement a full data ecosystem, from understanding the business needs to implementing the right data infrastructure or DevOps mindset, and detail the implications in the need of new specialized talents in the realm of data science, Machine Learning and Data Engineering."
18:35 - 19:00 - break & food & networking
19:00 - 19:20 - lightning talks (2 out of 4 slots left)
19:20 - 20:05 - Pablo Ribalta, NVIDIA - "Training: Fast and slow"
"As in many areas in life, training is very important on getting optimal results in Deep Learning tasks. Nowadays, modern NVIDIA GPUs are not only miniature-supercomputers working at the speed of light. They are smarter than ever and have new and exciting capabilities that can be easily unlocked. In this talk I will show the latest developments on mixed-precision training, and how you can use it in your day-to-day experiments with very little to no effort at all."
20:15 - 21:00 - Gregorio Ferreira, ArcelorMittal - "Machine learning & Industry 4.0"
"Machine learning and AI have been trending topics for many years already. However, it is well known the challenges companies are facing to deploy robust solutions taking advantage of this kind of algorithms. The gap between R&D and IT-organisation is still latent, and until both of them don't get to a common point in which the cost and complexity of deploying AI-based solutions are well understood, the possibilities to extract all the value from data are diminished.
In this talk, I will share different cases in which using Machine Learning provided a considerable improvement in existing solutions or just created a new range of possibilities that with traditional techniques were not possible.
You will also have the opportunity to see how using computer vision based solutions, we are helping the metal business to be more secure and productive."