Christian Clot is an extraordinary character. Both a researcher and an explorer, he spent 4 times 30 days in the most extreme places on the planet. I saw his videos and testimonies and was much impressed. How you could get out of this time spent in the hottest Iranian desert in the world where the slightest drop of perspiration evaporates instantly! I interviewed Christian as part of the upcoming AI Paris 2019 exhibition, which will be held on June 11 and 12, of which Visionary Marketing is a media partner. As a researcher, Christian reflects on how humans may adapt to the most profound changes that await us in the coming decades. Artificial intelligence is not the least of these challenges.
You have experienced the most extreme places on the planet, for what purpose?
I have been conducting studies for about ten years now on the human capacity to adapt to new and changing conditions.
I did this because I have been an explorer for quite some time now and I have observed in the field the changes experienced by people who live in these tough climates: cognitive changes, personality changes and changes in the way they function very profoundly.
A gret number of universities of the world propose courses about data science, machine learning and artificial intelligence. Isn’t it time they added data ethics on the agenda, at a time when tech giants like Facebook and Google — to name a few — have become familiar targets for the lack of respect for their users’ data? Or at least for their inability to prevent such data from being stolen by external players like the ill-famed Cambridge Analytica. This contribution will provide the framework of my presentation on behalf of the Business Analytics Institute to the CDEFI conference on “Ethics and digital [ethique et numérique]” June 6th in Toulouse.
How important is data ethics…
what issues need to be addressed, which themes should be explored, and how can the subject be taught effectively?
Data ethics involves the study and adoption of data practices, algorithms, and applications that respect fundamental individual rights and societal values. The primacy of data in modern economies becomes more apparent each day. Success not only in science but in business and society depends on understanding both what data exist and what it represents. It is of little wonder that universities the world propose specializations today in data science, machine learning, and artificial intelligence. Yet confining data science to the realm of specialists is both short-sighted and potentially perilous, for both public and private organizations are increasingly relying on analytics to monitor and evaluate almost every aspect of our daily lives. Continue reading “Data Ethics: data science must not be in the sole hands of experts”→
Data Science is on the agenda but what about Data Science Ethics? The twin motors of data and information technology are driving innovation forward in most every aspect of human enterprise. In a similar fashion, Data Science today profoundly influences how business is done in fields as diverse as the life sciences, smart cities, and transportation.
As cogent as these directions have become, the dangers of data science without ethical considerations is as equally apparent – whether it be the protection of personally identifiable data, implicit bias in automated decision-making, the illusion of free choice in psychographics, the social impacts of automation, or the apparent divorce of truth and trust in virtual communication.
Justifying the need for focus on the Data Science Ethics goes beyond a balance sheet of these opportunities and challenges, for the practice of data science challenges our perceptions of what it means to be human.
Big data is more than ever on the agenda of those marketers who are on the warpath of data-driven marketing. It’s the 6th year I’ve been active (from a content marketing perspective) in this area and I find it always more exciting, year after year. On March 12, I attended the Big Data Paris 2019 keynote entitled “How Tom Tom has evolved from a navigation company to a big data company”.
Tom Tom lives and breathes Big Data
The speaker was Alain de Taeye, Founder of TeleAtlas, Member of the Management Board, Tom Tom. For those who wouldn’t know, Tom Tom is a Dutch company. His pitch was instrumental in my understanding how Big Data moved from a technical topic into a full fledged transformational toolbox reshaping entire industries and businesses.
Such was the promise of Big Data six years ago or more, but few are able to show such impressive results as Tom Tom. Here is how they turned from a B2C company selling navigation devices into a B2B data-driven money machine.
The Big data revolution was the subtitle of de Taeye’s presentation and God knows this was a revolution! Tom Tom has changed radically. Here is his account thanks to my notes taken during his presentation.
It has become a common parlance amongst marketers lately; there’s hardly any marketing without data. Data lays down the bed-rock for successful marketing campaigns, and it has become a discipline within itself. In simple terms, I would like to present an overview of how to approach data-driven marketing.
To know your customer is fundamental, and to do that, there’s a multitude of questions that marketers must know the answers to. The data from these answers, collected from various primary and secondary sources, guides the marketing strategy of firms. The analyses derived from this precious real-time customer data can, therefore, determine the success of marketing campaigns.
There must be a proper methodology that caters to the requirements of marketers when it comes to data-driven marketing. Let’s try and dissect this topic to gain some insights into the world of data and how marketers can unveil its benefits for executing their marketing campaigns.
What data do we really need?
All the collected data isn’t really useful for marketers. It’s therefore paramount that marketers know what data they should collect, segregate and work on. Keeping unnecessary data will only help increase the complexity of analysis.
But, what’s really useful? Useful data is one that attends to the marketing functions of understanding your customer better: knowing when, where and through what channels to reach him/her at the minimum possible cost.