I am grateful to the many of you who have purchased my recent book Data Warehouse as well as my previous book Big Data and Law, and for those of you following my posts announcing English and Mandarin in addition to the original German version.
The response from readers has been overwhelming, underscoring the need for more information about legal, regulatory and other aspects of Big Data and important tools which have arisen from it such as Data Warehouses, and current events have continued to keep this topic in the headlines.
Clearly the topic of Big Data and GDPR is so vast and so dynamic that I’ve decided to continue sharing my expertise through a series of interviews and blogs.
I will speak with experts about Big Data and ask them the burning questions we are all wondering about concerning this provocative topic.
Duet will be a series of monthly blogs where I will be interviewing noted guests on topics related to Big Data as well as GDPR.
I will be asking legal, ethical, technical, geo-political and even philosophical questions surrounding Big Data today to start meaningful discussions about why and how Big Data will impact our present and future lives.
My guests and I will exchange ideas, identify challenges, propose solutions and, in the process, make the subject of Big Data more inspiring to you.
Be informed on these vital issues and follow me on this important journey!
My upcoming and latest Duet Interviews are:
When?
With who?
What about?
2024-10-08
Dr Ioannis Revolidis
Will blockchain revolutionise the way in which data is managed and stored in a Data Warehouse?
2024-09-17
Ole Sieverding
Is cyber insurance the easiest and most comprehensive solution to cyberattacks?
2024-08-27
Dr Till Jaeger
Can big data in the Data Warehouse succeed within an open data regime?
2024-08-13
Martin Szugat
Is a Data Warehouse both the key to and foundation for businesses in the digital age? What should one look out for?
2023-11-28
Sophie Borchert
Are algorithms taking over?
2023-11-06
Prof. Dr Katharina Zweig
Big Data and Algorithms
2023-07-04
Hans-Jürgen Jakobs
Does anyone really have a monopoly on wisdom?
2022-10-25
Prof. Dr. Thomas Metzinger
Big data and the autonomy of thinking – how Big Data is profiting from our distraction
2022-09-27
Dr Rieke C. Harmsen
Who Is Calling the Shots: Social Media Platforms or Media Companies?
2022-08-30
Prof. Dr Dennis Kipker
China has given the starting signal! The race for data economy is on!
2022-08-02
Svetlana Schiel
How will digital business models be taxed in the future?
2022-07-19
Sebastian Welke
How secure are digital devices used in medicine?
2022-07-05
Prof. Dr. Jürgen Schupp
Are work and a guaranteed basic income mutually exclusive or do they have a future together?
2022-06-21
Prof. Dr Thomas Zeilinger
Is the market value of ethics on the rise?
2022-06-07
Christian Monjou M. Phil (Oxon.)
If Art imitates life, can Big Data imitate Art?
2022-05-24
Dr Leila Taghizadeh, MBA
Artificial Intelligence (AI) and Ethics
2022-05-10
Prof. Roger Hallowell, Ph.D.
Big Data in Executive Decision-Making: Friend or Foe?
2022-04-26
Prof. Dr Rogier Creemers
Big Data and China’s new regulations
2022-04-12
Martin Boerger
Big Data and the Generation Gap
2022-03-29
Randall P. White, Ph.D
Does Big Data generate complexity and uncertainty?
2022-03-15
Prof. Christina Elmer
Big Data, data journalism and the future of media
2022-03-01
Prof. Dr Marc Bertonèche
Can Big Data save the GDP from becoming outdated?
2022-02-15
Edzard Reuter
Is there room for humanity in the world of Big Data?
2022-02-01
Prof. Dr Maren Urner
Does Big Data offer constructive solutions?
2022-01-18
Daniel Goeudevert
Big Data and the Concept of Responsibility
2022-01-04
Christian Klein
Thanks to IT and digitalisation, automation has finally made it to finance and tax departments.
2021-12-07
Dr Thomas Pattloch, LL.M.Eur.
Getting to the bottom of the Chinese Social Credit System.
2021-11-23
Prof. Dr Doris Fischer
Is data a new factor in production and thus a new catalyst of growth?
2021-11-09
Prof. Dr Marcus Helfrich
Is informed consent in the digital age appropriate?
2021-10-26
Django Asül
How to make money off the back of the little guy
2021-10-12
Dr Andreas Zechmann
Is data the cheapest asset available?
2021-09-28
Petra Dahm
Marketing versus data protection: Who holds the trump card?
2021-09-14
Dr Angelica M. Schwarz
Is data being given enough consideration in accounting procedures?
2021-08-31
Dr Thomas Leyener
Big Data, morality and informational self-determination
2021-08-17
Prof. Dr Rolf Weber
How does Switzerland fit into the GDPR context?
2021-08-03
Thomas Kahl
Do data havens exist?
2021-07-20
Prof. Dr Joachim Schrey
Are data protection authorities toothless tigers?
2021-07-06
Richard Heiler Martínez
Where are the touted revenues coming from Big Data?
2021-06-22
Peter Wippermann
The symbiotic relationship between a person, his digital twin and avatar.
Behind almost every digital business model there is a database and, if the scale is large enough, an entire data warehouse. Cyberattacks on this vulnerable data warehouse show that entire companies can be paralyzed. Affected companies then usually feel helpless. Did you know that insurance companies not only pay for the damage, but also support you with professionals in the form of an outsourced crisis department to investigate, limit the damage and safely rebuild the data structure in question?
In the latest of her Duet interviews, Dr Caldarola, editor of Data Warehouse as well as author of Big Data and Law, and Ole Sieverding discuss the pros and cons of cyber security insurance
In order to be able to use the growing amount of data, companies need data warehouses. Their architecture can be equipped with open-source software. But can the data in the data warehouse also be managed with an open data regime, so that access can take place for everyone from all sides, occur quickly (real-time), in an uncomplicated manner (without the various data subject rights, without data protection requirements…), be uniform, free of charge, transnational and be applicable for a variety of uses?
In the latest of her Duet interviews, Dr Caldarola,editor of Data Warehouse as well as author of Big Data and Law, and Dr Till Jaeger discuss possible open data regimes in a Data Warehouse.
In order for data as a resource to provide a competitive edge, a company needs to classify “its” data in a systematic way, meaning a data warehouse. This data warehouse must be able to do all manner of things: be efficient, have its scale easily adjusted, networked to other systems, have clearly defined goals and yet be easily controlled. What are the technical, structural and legal requirements for such a data warehouse?
In the latest of her Duet interviews, Dr Caldarola,editor of Data Warehouse as well as author of Big Data and Law, and Martin Szugat discuss on the requirements and architectures of a data warehouse.
Dr Maria Cristina Caldarola, LL.M., MBA is the host of “Duet Interviews”, co-founder and CEO of CU³IC UG, a consultancy specialising in systematic approaches to innovation, such as algorithmic IP data analysis and cross-industry search for innovation solutions.
Cristina is a well-regarded legal expert in licensing, patents, trademarks, domains, software, data protection, cloud, big data, digital eco-systems and industry 4.0.
A TRIUM MBA, Cristina is also a frequent keynote speaker, a lecturer at St. Gallen, and the co-author of the recently published Big Data and Law now available in English, German and Mandarin editions.