Below is content from a range of 2021 sessions. Read our agenda to find out more about the full range of sessions we delivered.
You can also browse our previous Munich Digital Day events, learn about past themes, speakers, and more.
Creating a data strategy – key practical and legal issues
Speakers: Alexander Brown, Sue Diver, Christopher Götz, Peter Lee
Catch up on this session here. An overview on how a data strategy, which is the basis for any successful data commercialization effort, should be developed, and which key practical and legal issues have to be taken into account in the development and implementation phase of any such data strategy.
Legal data product showcase
Speakers: Lee Curtis, Alkan Dogan, Sam Stamp
Catch up on the session here where you can learn more about our legal data products: legal engineering, Rocketeer and CtrlTransfer.
How to use process data to drive intelligent business execution in real time
Speaker: Bastian Nominacher, Co-founder and Co-CEO, Celonis
Catch up on this session here.
Ninety-nine percent of success in business is good execution, which is all about processes. By applying process intelligence to real-time data from transactional systems, we can identify and unlock execution capacity across core business functions to eliminate billions of dollars in corporate inefficiencies, provide a better customer experience, consume fewer resources and to improve overall business performance.
Cybersecurity: how to fight data attacks
Speaker: Henry Heinemann, EMEA Head of New Product Go-To-Market, Cloudflare
Catch up on this session here.
As digitalisation is increasing, so is the amount of data that companies process and store. Cybersecurity has become an important part in keeping this valuable data protected. Cloudflare blocks an average of 72 billion threats per day, including some of the largest DDoS attacks in history. Henry provides examples of high profile cases and give insights into how such data attacks can be tackled.
Quality of data and its relevance for machine learning (e.g in the life science sector)
Speaker: Fabian Conrads, Datakyra
Catch up on this session here.
In this session we talk about how the quality of data is crucial for the quality of machine learning.
Data breaches and legal implications
Speakers: Robert Allen, Sascha Kuhn, Felix Zimmermann
Catch up on this session here.
Speakers from Germany and the UK provide insights from their respective jurisdiction on a number of cybersecurity related topics including cloud computing, enforcement litigation, GDPR and insurance.
Investing in digital business models
Speakers: Fabian von Samson, Sebastian Barhold, Co-founder IDnow, Martin Kassing, Founder and CEO, Upvest, Markus Lessing, Partner, Envolved
Catch up on this session here.
We discuss investments in and investment strategies of digital businesses with IDnow's Sebastian Bärhold, Upvest's Martin Kassing and Envolved’s Markus Lessing.
Crypto assets: key trends in Europe
Speakers: Jochen Kindermann, George Morris
Catch up on this session here.
The topic of crypto assets is on everyone's radar and the recent Coinbase exchange listing underlined the importance of this topic. The EU and all local regulators reacted to these developments with various regulatory initiatives. In this session we highlight some of the latest regulatory across the EU and the UK.
Data and ethics: Trade-offs between data optimisation and ethical considerations
Speakers: Sophia Adams Bhatti, Mark Caine, AI and Machine Learning Lead, World Economic Forum, Birgitte Kofod Olsen, Partner, Carve Consulting, Professor Burkhard Schafer, Professor of Computational Legal Theory, The University of Edinburgh, Patricia Shaw, CEO and Founder, Beyond Reach Consulting
Catch up on this session here.
Every business is a data business. How well a business uses and manages this data is the difference between those who will fail and succeed. Using data well is not all about optimisation, companies are custodians of trust, treating data ‘well’ is equally expected by customers and clients, let alone regulators. This session examines the emerging must have considerations when looking to optimise data. What role should ethical frameworks play? What is the interface between ethical considerations and the regulatory and legislative frameworks? Is there a trade-off between data optimisation and ethics? Are these tensions reconcilable? If so how? And how should the suit be responding to these challenges.
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