Connectivity & Data
Governance and Citizen
Energy & Environment
Data drives our lives, how we work, how we are connected to one another and increasingly how we live. A successful smart city needs data in order to provide the services that citizens increasingly expect. Having spent years using consumer-centric digital services, they are expecting the same from their cities.
But how can cities and its partners manage this data effectively, get the most out of it and pass on the benefits to citizens? One solution is using open-source big data platforms coupled with machine learning to provide cities with truly interoperable data collection and processing in real-time. Machine learning can help spot problems before they occur, leading to a smoother city operation. Only by using sophisticated and interoperable technology can the true potential of smart cities be unlocked.
But how can cities and its infrastructure partners do so? What obstacles do they face and for those who are taking their first steps with these technologies, what have they learned to date? This roundtable will share expertise and learnings about how big data and machine learning can be used effectively. It will explore the real world deployments of the technology, such as in Dubai, and show what European cities can learn from them.
Register Here 25 March 2021 - 12pm (CET)
Registration is free, however delegates will need to work for a European city government or infrastructure partners. Applications will be approved by the event curator so that we can allow for a unique mix for this intimate roundtable format. The aim is to share insights from your work and make new contacts to speed your city’s transformation.
1: Welcome, Introductions
2: Utilising Open Data in Cities (Guest speaker from Cloudera and IBM) - presented in German
3: Open discussion: How to introduce big data and machine learning into cities
Delegates list to be updated shortly.
Graeme Neill, Editor of SmartCitiesWorld, will set the scene for the roundtable and introduce our guest speakers who will talk through their own experiences on introducing big data and machine learning into cities and what are the first steps they needed to take.
We will then move onto other topics including the key obstacles now facing cities, which technologies can help them overcome these and what cities need to prioritise.
Delegates will have a chance to give their own views and to ask questions throughout this session - making it as interactive as possible!
Name: Graeme Neill
Graeme Neill has been a journalist for almost 20 years, with more than a decade working in the technology and telecoms space.
A Belfast native, he started his career at the Northern Irish daily The Irish News before moving to London to cover the debt capital markets and book publishing industries during the financial crisis. He has covered the telecoms industry for the past decade, initially focusing on the UK retail industry before shifting to cover the telecoms tech industry for Mobile Europe.
Name: Marc Schlingheider
Title: Head of the Federal and State Division
Marc Schlingheider is the director of the business unit federal and local goverment of IBM in Germany. He has been with IBM for more than 10 years and was responsible for public key clients in several sales- and consulting positions before. In his career, he agreed IBM´s first major cloud project with a public safety institution in Germany.
Marc Schlingheider has a Master of Arts in business administration and lives in Hamburg
Name: Alexander Zschaler
Title: Regional Sales Director