Abstract

Enzo Fenoglio (Cisco)

Beyond Deep Learning – How to be ahead of tomorrow

Abstract: Deep Learning (DL) has demonstrated undeniable successes in object detection, language translation, video games, etc. However, DL is simply classical machine learning and statistical methods powered by GPU acceleration. DL networks only compute what they have been programmed or trained earlier, fail in a way that humans will never do, and are not able to learn from errors. The dangers represented by adversarial attacks create serious problems to self-driving vehicles or in cybersecurity, which can be partially recovered by Bayesian DL to model uncertainty. However, for the complex use cases we are confronted today, we need to move towards a Human-Level Artificial Intelligence (HLAI). HLAI is goal oriented, improves continuously from errors, provides explainability, and learns how-to-learn from few examples for acquiring a generalized knowledge to new situations. In this talk, I will present promising routes to overcome these challenges based on some advanced cognitive architectures.

Daniel Wroblewski (EQT)

Data, Machine Learning and Innovation in Private Equity

Abstract: Investment firms within private equity and venture capital have traditionally relied on humans doing the legwork, knowing the right people, trusting their instincts and crunching data with spreadsheets. Daniel will tell the story of EQT and Motherbrain. With a startup mentality, a small team, the right tools, and data, EQT has been able to create data-driven approach using analytics and machine learning to augment the investment teams.

Michael Schwarz (Continental)

Industry 4.0 – The Way to Smart Factory and Smart Supply Chain

Abstract: Industrie 4.0 describes a fundamental paradigm change. It will have a big impact on our Continental business models but also our Supply Chain and our Factories. We as Continental developed our way toward Smart Factory and Smart Supply Chain. As a baseline it is important to have a holistic Industrie 4.0 vision and behind that a clear strategy to bring this vision to life. In our Automotive plants and in our Supply Chain we have implemented many Industrie 4.0 applications already. The challenge is to link all activities towards an overall picture in order to gain the benefits out of Industrie 4.0. During this transformation our people will play a major role. They are the key players in a virtual, collaborative and flexible workspace.

Sander Dieleman (DeepMind)

Generating Music in the Raw Audio Domain

Abstract: Realistic music generation is a challenging task. When machine learning is used to build generative models of music, typically high-level representations such as scores, piano rolls or MIDI sequences are used that abstract away the idiosyncrasies of a particular performance. But these nuances are very important for our perception of musicality and realism, so we embark on modelling music in the raw audio domain. I will discuss some of the advantages and disadvantages of this approach, and the challenges it entails.

Julien Simon (Amazon)

Machine Learning: From notebook to Production with Amazon SageMaker

Abstract: Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy Machine Learning and Deep Learning models at any scale. In this session, we’ll introduce you to the service and we’ll run Python notebooks solving problems with both built-in algorithms (XGBoost, K-Means, etc.) and your own custom code (TensorFlow, Keras, etc.).

Lutz Goldmann (omni:us)

AI-Powered Information Extraction for Insurance Claims

Abstract: omni:us provides AI-powered document processing services for the insurance industry in order to fuel the digital transformation and make existing workflows more transparent, affordable and efficient. Handwritten forms are an important part in a large variety of insurance use cases such as claims. Extracting information from forms is a well-defined but challenging task due to multiple form versions, varying scan and photo quality, handwriting from unknown writers and a large amount of entities per form. This talk will provide an overview of our processing chain including page classification, template alignment and handwritten text recognition and discuss our key findings from various real-world projects.

Marius Iordache (Orange)

5G – the next technology business driver

Abstract: A fully mobile and connected society will empower the value creation towards new customers and partners new use cases, flexible delivered and enabled by sustainable business models. 5G is the enabler of delivering new ways of solutions, architectures and technologies and approaches for the next coming decades, with huge impact expected for the existing verticals, creating also new markets. It will be explored the benefits, targeted revenues and developments needs

Cornel Amariei (Continental)

Innovation – The Road to Autonomous Driving

Abstract: Autonomous driving is around the corner, but how many things will it change? Cars will not look the same, they will not interact with us in the same ways and they will adopt new uses. There is a long list of technologies and features we, at Continental, are developing to get there. Join the discussion to see how we are gradually coming to Autonomous Driving

Marek Modry (CEAi)

Using Machine Learning to Detect Money Laundering

Abstract: Increasing pressure of regulation authorities and the need of risk mitigation broaden the space for applications of artificial intelligence even in the conservative environment of banks. Traditionally, banks have been employing simple methods and spending enormous resources to run their customers through anti-money laundering screenings. Using machine learning and natural language processing, we can improve screenings in both time efficiency and quality… helping the fight against evil villains. The talk presents how our ML models identify (not only) criminals, tells the story of our deep learning models and shows the challenges that are in front of us.

Lucian Rusu (Continental)

Will robots replace you?

Abstract: Are you concerned of robots replacing humans? This thoughts are not new, we have them since the industrial revolution, more then 200 years ago, and yet, we still have a place to work on.
Now, with technological advancements, robots are working together with us in the factory, helping and contributing to our daily work.
Join our workshop on factory automation, to discuss about where we were and where we are heading – collaborative robots, autonomous transportation in factories and 3D printing.

Silviu Rei ( Continental)

Cybersecurity in Automotive

Abstract: In the context of Internet of Everything, when people, processes, data and devices are interconnected, cybersecurity becomes more and more important. The modern vehicle, a common element of the internet of everything network is used on a daily basis. The megatrends in automotive: electrification, autonomous driving, connectivity, increased significantly the attack surfaces on a modern vehicle. We will present an overview of the automotive cyberthreats and the solutions we are designing and implementing @ Continental, with the intention of raising the awareness on the “dark side” which comes together with the great technological advancements of the 21st century in connectivity and mobility.