FEBRUARY 20 / 1-5 PM

ADS

PRESENTS

TECH020

WORKSHOPS

Applying Deep Learning for Object Detection from a Telecom Perspective

WHO /

VodafoneZiggo

WHEN /

Round #1

13:15 - 14:00

WHAT TO BRING /

-

REQUIREMENTS /

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In the past decade Deep Learning has emerged as the first option in the application of Artificial Intelligence to solve problems related to preventive maintenance, object detection, facial emotion recognition, natural language understanding, disease diagnostics, gaming and many other areas. Despite the hype and anti-hype propaganda and debates amongst renowned figures of the academic and industrial worlds, Deep Learning has remained strong and continues to attract the industry. But how some of its solutions can be applied to the challenges within Telecom organisations? In this talk, we will show how we, at VodafoneZiggo, are currently working with state-of-the-art models to detect appliances and components, helping us to reduce maintenance and truck roll costs.

This presentation will be given by Wilder Rodrigues.

Risk Modelling

WHO /

ING Bank

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Round #1

13:15 - 14:00

WHAT TO BRING /

Laptop

REQUIREMENTS /

-

Data, model design, coding, interpreting the results, assessing risk: these are all part of the daily activity in risk and analytics units. Modelling within ING is focused on both financial and non-financial risks. Model risk measurement and uncertainty quantification play a key role to support strategic decision making.

Concrete examples and challenges will be discussed together by connecting to you and sharing our experience in the following context.

ING has set the ambition to become a data-driven organization with analytics as a business model. This requires data and modelling processes, where both intelligence and creativity are critical. With the transition towards ‘future banking’, new types of risk models emerge, which are based on a dynamic sets of (real-time) drivers. Artificial Intelligence (AI) and Machine Learning (ML) are considered to accelerate the collection of relevant statistics and the development and validation of risk-based models (for example to improve data quality and model performance). ING is committed to advance the way development and validation units create and manage these ‘next generation’ models and the designated technologies.

 

Interested in learning more about this? Join our session and bring your questions.

Introduction to the HI Project

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Hybrid Intelligence Centre​

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Round #2

14:15 - 15:00

WHAT TO BRING /

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REQUIREMENTS /

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Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. Our goal is to design Hybrid Intelligent systems, an approach to Artificial Intelligence that puts humans at the centre, changing the course of the ongoing AI revolution. Why build AI systems that replace people if we can build AI systems that collaborate with people?

As part of a 10 year project funded with 20m€ by the Dutch government, we are looking for 27 PhD students.

In this workshop we will introduce the Hybrid Intelligence project, and the fundamentally new solutions it proposes to core research problems in AI: current AI technology surpasses humans in many pattern recognition and machine learning tasks, but it falls short on general world knowledge, common sense, and the human capabilities of (i) Collaboration, (ii) Adaptivity, (iii) Responsibility and (iv) Explainability of norms and values (CARE). We will then zoom in on three specific projects within the larger HI project.

Health & Life Science Analytics

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Elsevier ​

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Round #2

14:15 - 15:00

WHAT TO BRING /

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REQUIREMENTS /

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Solving some of the most challenging problems in Health & Life Science with Data Science, Georgios Tsatsaronis and team share use cases and insights to working with one of the richest goldmines of Scientific data in the world.

https://embed.vidyard.com/watch/fTvhW52UksuSzNWwP1Nwxt

Academia or Startup?

WHO /

Digital Society School & ACE Incubator

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Round #3

15:15 - 16:00

WHAT TO BRING /

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REQUIREMENTS /

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A Path to Academia

Are you thinking about doing a PhD but have no idea where to start looking or what you should be thinking about before applying? Emma Beauxis-Aussalet is here to help you ask the right questions. Emma completed her PhD in December 2018 at CWI and is now a senior track associate at the Digital Society School Amsterdam. She will guide you in understanding what to expect from a PhD, what support structures to look for in a research group and what inspired her to work in academia.

 

Searching for Unicorns

Curious about how to start your own business? Or have you got the next thing just waiting to burst out of your head and you’re looking for some expert guidance? Liza Kolesnichenko, program manager at ACE Incubator will be giving her top tips on starting your own business. She will give you the inspiration to combine your tech skills with business entrepreneurship to help the world become a better place with your business idea.

Property Workshop

WHO /

Republiq

WHEN /

Round #3

15:15 - 16:00

 

PLEASE BRING /

Laptop

REQUIREMENTS /

Dutch language

Republiq is a young company with a lot of experience. In a few years we grew into a team of 30 people. Our ambition is firm. We want to help as many parties as possible improve the financial and social return on real estate. We work for the Dutch public sector such as municipalities, housing associations, and educational organisations. We believe that the availability of data marks a new phase in real estate and urban development. Data helps to make informed decisions. Decisions that have a longer shelf life. We use the very latest techniques to collect, analyse and visualize data - in fact, we develop many of these techniques ourselves, so that we know for sure that we will stay ahead. We are happy to give an interactive workshop at the ADS presents TECH020 about the following topic. Considering our working field, the workshop will be in Dutch.

 

Housing associations have a major task in terms of making their houses more sustainable. In addition to ensuring a sufficiently affordable, high-quality range of social rental properties, housing associations have the task of making their property CO2 neutral. How do you as an association give substance to this assignment? Where do you start and can you actually pay for it? Can you make all your homes CO2 neutral, what about the houses from 20s and 30s, for example? What impact does sustainability have on the net housing costs of tenants?

 

With our Sustainability Monitor, students get to provide answers to these questions for the fictitious housing association LiveRepubliq. A fictional housing association but based on real homes and associated data. Students experience the challenges that we (and our customers) face and how the use of open and linked data can help to make the right choices. At the end of the workshop, we look at the solution directions and show how we approach the issue.

 

Students get access to our sustainability monitor and can work with the data themselves. Only a laptop with an internet connection is required to join our workshop. The language of the workshop is Dutch.

An Introduction to Real-Time Event Processing in Sports and Beyond

WHO /

Qualogy

WHEN /

Round #3

15:15 - 16:00

WHAT TO BRING /

Laptop

REQUIREMENTS /

-

In this era of sensors, clicks and transactions, data has become increasingly available in real-time leading to a growing interest in producing instantaneous insights as soon as data is collected.

In this session I will illustrate the value of ‘going real-time’ by highlighting several use cases and example projects that Qualogy has been involved with in the domain of sports. We will discuss the challenges to be overcome with real-time data processing. Topics to be reviewed include data fault-tolerance, handling imperfect or delayed data, minimal processing times, data volume, data velocity, windowing and stateful calculations. Additionally, I will talk about frameworks available for handling these challenges, such as Apache Spark. 

In the second part of the session we will play with an example data stream in a hands-on workshop in which we will process football position data in real-time using Python. Be sure to bring your laptop! 

 

About the speaker: Jonathan Robijn is a data scientist at Qualogy. He majored in Computer Science at Leiden University with a minor in Information Technology in Business. During his Master thesis research project Jonathan applied machine learning to football position data to predict the risk of passes. 

© 2020 by Amsterdam Data Science. QUESTIONS / Contact us at info@amsterdamdatascience.nl

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