Abstract--In an era dominated by datafication, the reduction of human experiences to quantifiable metrics raises profound philosophical and ethical questions. This paper explores these issues through the lens of Meursault, the protagonist of Albert Camus' The Stranger, whose emotionally detached existence epitomizes the existential concept of absurdity. Using natural language processing (NLP) techniques including emotion detection (BERT), sentiment analysis (V ADER), and named entity recognition (spaCy)-this study quantifies key events and behaviors in Meursault's life. Our analysis reveals the inherent limitations of applying algorithmic models to complex human experiences, particularly those rooted in existential alienation and moral ambiguity. By examining how modern AI tools misinterpret Meursault's actions and emotions, this research underscores the broader ethical dilemmas of reducing nuanced human narratives to data points, challenging the foundational assumptions of our data-driven society. The findings presented in this paper serve as a critique of the increasing reliance on data-driven narratives and advocate for incorporating humanistic values in artificial intelligence. In the digital age, the quantification of human experience has become a dominant paradigm, promising objectivity and predictive power [5]. However, this reductionist approach, known as datafication, risks obscuring the complexity and nuance inherent in human existence [6].

Datafication is simply transforming everything in our life into devices or software powered by data. So, in short, Datafication is the modification of human chores and tasks into data-driven technology. From our smartphones, industrial machines, and office applications to AI-powered appliances and everything else, data is here to stay for longer than we can ever remember! So, to keep our data stored the right way and secure and safe, it has become an in-demand specialization in any economy. Datafication leads to a higher need for IT professionals, engineers, data scientists, technicians, managers, and so much more.

Galileo's aphorism "Measure what can be measured, and make measurable what cannot be" echoes through almost every algorithmic system today. But reverberating in these echoes is the reality that the act of'making' something measurable is never purely objective: it is the result of subjective choices. Acknowledging this is key to preventing the harms algorithms can create. It's seemingly intuitive to think of'data' about a thing as a true representation of it. For example, my height is 5'9" and London is the capital city of the United Kingdom -- two data points that reflect reality. But renowned statistician David Spiegelhalter reminds us how data'is almost always an imperfect measure of what we are interested in.' To count all the trees on the planet, he notes, we must first define what counts as a tree. There's more than one way to do that, and not everyone will agree on which way is correct. It's a good reminder: some would say I'm more like 5'8" and a half, depending on how you hold the tape measure, and what of Edinburgh, Wales and Belfast?

Throughout history, society has debated the morality of debt. In ancient times, debt--borrowing from another on the promise of repayment--was viewed in many cultures as sinful, with lending at interest especially repugnant. The concern that borrowers would become overindebted and enslaved to lenders meant that debts were routinely forgiven. These concerns continue to influence perceptions of lending and the regulation of credit markets today. Consider the prohibition against charging interest in Islamic finance and interest rate caps on payday lenders--companies that offer high-cost, short-term loans.

According to McKinsey, data-driven organisations are 23x more likely to acquire customers, 6x more likely to retain customers and 19x more likely to be profitable. Being data-driven is good for business. Therefore, it is not a surprise that one question I always get when advising organisations is how to digitally transform your business and remain relevant in these fast-changing times. My first answer is to tell them that they have to achieve a gestalt shift, where they see their organisation from a different perspective. Instead of looking at your organisation from a product standpoint, you should see your organisation as a data organisation.

Datafication is a buzzword of the last several years, that is used actively along Big Data industry. Honestly, if you would search the term'datafication' on the internet you probably won't find that much relative information about it, yet it is a word we are hearing a lot these days. However, after analyzing the topic itself, I could say that many of us understand the meaning of the term, but probably named it another way. Datafication, according to MayerSchoenberger and Cukier is the transformation of social action into online quantified data, thus allowing for real-time tracking and predictive analysis. Simply said, it is about taking previously invisible process/activity and turning it into data, that can be monitored, tracked, analysed and optimised.

Some tech trends fizzle out and die a quiet death, while others are so significant that they transform our world and how we live in it. Here are the top nine tech mega-trends that I believe will define 2018 and beyond. From chatting to friends in a messaging app or buying a coffee, to tapping in and out with an Oyster card or streaming music, today almost everything we do leaves a trail of data breadcrumbs. And this increasing datafication of our world has led to an unprecedented explosion in data. Just in the average minute, Facebook receives 900,000 logins, more than 450,000 Tweets are posted, and 156 million emails and 15 million texts are sent.With numbers like that, it's no wonder we're essentially doubling the amount of data created in the world roughly every two years.

Some tech trends fizzle out and die a quiet death, while others are so significant that they transform our world and how we live in it. Here are the top nine tech mega-trends that I believe will define 2018 and beyond. From chatting to friends in a messaging app or buying a coffee, to tapping in and out with an Oyster card or streaming music, today almost everything we do leaves a trail of data breadcrumbs. And this increasing datafication of our world has led to an unprecedented explosion in data. Just in the average minute, Facebook receives 900,000 logins, more than 450,000 Tweets are posted, and 156 million emails and 15 million texts are sent.With numbers like that, it's no wonder we're essentially doubling the amount of data created in the world roughly every two years. Trend 2: The Internet of Things (IoT) and how everyday devices are becoming more'smart' The IoT – which encompasses smart, connected products like smart phones and smart watches –is a major contributing factor in this exponential increase in data.