#Big Data Market
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Big Data Market Expansion: How Organizations Are Leveraging Data Analytics
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Big Data Market Size, Share, Price, Trends, Report and Forecast 2023-2028
Big data refers to large, diverse sets of data that are growing at an exponential rate. The volume of data, the velocity or speed with which it is created and collected, and the variety or scope of the data points covered are all factors to consider.
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got jumpscared by these ‘cus it looks like he is a junior analyst at an investment bank




from mclaren’s ig
#he would be lethal on a Bloomberg terminal#his data-backed rizz would have no limits#that’s why his forehead’s so big it’s full of analytical secrets#Oscar piastri#op81#you don’t get him he’s just at one with capital markets like a gen z dollar sign megamind#wiz.yaps
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Just saw an ad for an "AI powered" fertility hormone tracker and I'm about to go full Butlerian jihad.
#in reality this gadget is probably not doing anything other fertility trackers aren't already#the AI label is just marketing bs#like it always is#anyway ladies you don't need to hand your cycle data over to Big Tech#paper charts work just fine
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Oldboy was a Warning of Today's Big Data Dystopian Future
I thought I would finish today by showing stills from one of my favorite arthouse movies of the 21st century. A disclaimer, Oldboy is not my favorite arthouse movie. Nor is it my favorite Chanwook Park movie. One of these days I'll send him up in a subsequent post.

2003
For those of you who do not know, Oldboy is the story of a scoundrel named Oh Dae Su who is kidnapped without warning and without knowledge of who his captor is.

Struggling to cope with his captivity for fifteen years, he is suddenly released with nothing but the obsessions that kept him alive--Revenge against the person who held him captive, and Curiosity as to why he was kidnapped.

But freedom becomes complicated for Oh Dae Su when he realizes events are being manipulated around him. The phone he is given mysteriously belongs to his captor. The clothes are not his. And he begins to suspect the young woman who decides to take him in.
There is a ton going on in this complex plot. Oh Dae Su does not know what he did to cause his captivity, something all private citizens should fear about the complex legal and digital world that makes decisions for us.
Multiple spends most of his time in captivity practicing to fight his captors, and preparing his escape. We only find out halfway through the film that every action he took was under constant surveillance. His efforts would have been for nothing. He was as powerless in the confines of his cell as he was in the real world.
Oh Dae Su even fails in captivity to take his own life. He admits, while trying to dig through a wall, that even if he falls to his death he will be free. Each time he is rescued from his attempt at self harm.

All of this is to say, a theme of totalitarian control and surveillance runs throughout Oldboy. Even the clothes he wears have been given to him by his abductor, and they are loaded with bugs so that they can know everything he says and does.
Even Oh's decisions are in doubt as he comes to question whether he has been either drugged or hypnotized.
The environment in Oldboy resembles today's consumer reality. Our phones that we use every minute collect and store personal data that is used to market products to us. Worse, that data is subsequently used to direct product marketing so that the things we want are conditioned into us. Even the clothes we wear and the food we eat are someone else's choice.
So was Chanwook Park trying to warn us about the nightmare of today from 22 years ago?
Not exactly. A lot has been explained about Park's motivations while making Oldboy, more than I have even read.
Chanwook Park has said that Oldboy was only partly an adaptation of the source graphic novel by Garon Tsuchiya. On a deeper level, Park has acknowledged that he meant to retell the play Oedipus Rex using the hypnosis motif that Tsuchiya employed in the manga.
But Park also acknowledged his influences were modern and postmodern novels, including the works of Franz Kafka.
Franz Kafka's writings are surreal dark comedies, but they are presented with bleak cynicism for the social bureaucracy of law which was his first vocation.
It follows that Chanwook Park did not write the script for Oldboy thinking of the risks modern technology would pose to us. Instead, he was writing about character motivations that were centuries old.

We learn by the end of Oldboy that his captor had his own plan for revenge against Oh Dae Su for some past wrong. But the unfolding of his revenge plot could be seen as the movie's only flaw, in that is seems nihilistic and purposeless. By the end, the villain gets nothing out of it and still suffers due to his previous, tragic loss.
The villain's revenge is entirely nihilistic.
This was Chanwook Park's stated intent for the revenge theme in Oldboy. But it is also a comment on the emptiness of totalitarianism, whether state sponsored or corporate. While it is all dangerous, in the end the impulse to dominate others is stale and hollow for the perpetrator of these violations.
There is much more to be said about Chanwook Park's filmography in all its richness. But for the topic of this blog post, the similarity between the movie and reality comes essentially from the fact that people have had the same dark motives since before the conception of Big Data.
There is something more to be said about how Oldboy, and the filmography of Nora Ephron, undermine some of the essential theories of postmodernism by Jean Baudrillard. But that is for another day.
#movies#south korea#kafka#big data#surveillance#totalitarianism#oldboy#fashion#digital products#digital marketing#digital manipulation#hypnosis#postmodernism#literature#books
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🚀 Join the Ultimate Engineering College Quiz Challenge! 🚀🏏
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Let the games begin! 🎉
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Czarina-VM, study of Microsoft tech stack history. Preview 1
Write down study notes about the evolution of MS-DOS, QuickBASIC (from IBM Cassette BASIC to the last officially Microsoft QBasic or some early Visual Basic), "Batch" Command-Prompt, PowerShell, Windows editions pathing from "2.11 for 386" to Windows "ME" (upgraded from a "98 SE" build though) with Windows "3.11 for Workgroups" and the other 9X ones in-between, Xenix, Microsoft Bob with Great Greetings expansion, a personalized mockup Win8 TUI animated flex box panel board and other historical (or relatively historical, with a few ground-realism & critical takes along the way) Microsoft matters here and a couple development demos + big tech opinions about Microsoft too along that studious pathway.
( Also, don't forget to link down the interactive-use sessions with 86box, DOSbox X & VirtualBox/VMware as video when it is indeed ready )

Yay for the four large tags below, and farewell.
#youtube#technology#retro computing#maskutchew#microsoft#big tech#providing constructive criticisms of both old and new Microsoft products and offering decent ethical developer consumer solutions#MVP deliveries spyware data privacy unethical policies and bad management really strikes the whole market down from all potential LTS gains#chatGPT buyout with Bing CoPilot integrations + Windows 8 Metro dashboard crashes being more examples of corporate failings#16-bit WineVDM & 32-bit Win32s community efforts showing the working class developers do better quality maintenance than current MS does
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Big Data Market: Innovations Powering AI and Machine Learning
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Week 5 blog post "Saga of Big Data 🙃"
After watching "The Legal Side of Big Data", Maciej Ceglowski's talk and reading "The Internet's Original Sin" . I was intrigued by the complexities surrounding the use of big data in today's business landscape. As a business owner myself, I realize that harnessing the power of big data can unlock numerous opportunities for growth and innovation. However, there are crucial aspects that businesses must be acutely aware of when using big data.
First and foremost, data privacy and security must be at the forefront of any big data strategy. As businesses collect and analyze vast amounts of consumer data, they must ensure strict adherence to applicable laws and regulations. Compliance with data protection laws such as GDPR, CCPA, or other relevant regional laws is not just an ethical responsibility but also vital for avoiding potential legal repercussions and preserving consumer trust.
Transparency is another critical aspect that businesses must prioritize. Consumers have the right to know how their data is being used, stored, and shared. Clear and concise privacy policies and terms of use should be provided, ensuring that consumers can make informed decisions about their data's usage.
Furthermore, businesses should guard against using big data to engage in discriminatory practices. The insights derived from big data must be utilized responsibly and without any bias that could harm certain demographic groups or individuals. It's essential to continuously monitor data usage and algorithmic decisions to avoid reinforcing harmful stereotypes.
On the consumers' side, awareness of the implications of sharing their data is paramount. They should be mindful of what data they provide to businesses and exercise caution when consenting to data usage. Staying informed about privacy settings and exercising their rights to access, rectify, or delete personal data empowers consumers to have control over their information.
As for balancing the opportunities and threats of big data, a multi-faceted approach is necessary. Collaboration between businesses, policymakers, and consumer advocacy groups is key to developing comprehensive regulations that foster innovation while safeguarding privacy. Encouraging ethical data practices and responsible use of big data should be incentivized, and non-compliance should be met with appropriate consequences.
Additionally, promoting data literacy among the general public can foster a better understanding of the potential benefits and risks associated with big data. By educating consumers about data collection practices, they can make more informed decisions about sharing their information and demand greater accountability from businesses.
In conclusion, the world of big data offers immense potential for businesses, but it also poses significant challenges in terms of privacy, security, and ethics. By being aware of these considerations, businesses can navigate the legal complexities and build trust with their customers. Simultaneously, consumers must stay vigilant about their data and support initiatives that strike a balance between seizing the opportunities and mitigating the threats of big data. Only through collective efforts and responsible practices can we harness the full potential of big data while safeguarding individual rights and societal welfare.
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Nope now it’s at the point that i’m shocked that people off tt don’t know what’s going down. I have no reach but i’ll sum it up anyway.
SCOTUS is hearing on the constitutionality of the ban as tiktok and creators are arguing that it is a violation of our first amendment rights to free speech, freedom of the press and freedom to assemble.
SCOTUS: tiktok bad, big security concern because china bad!
Tiktok lawyers: if china is such a concern why are you singling us out? Why not SHEIN or temu which collect far more information and are less transparent with their users?
SCOTUS (out loud): well you see we don’t like how users are communicating with each other, it’s making them more anti-american and china could disseminate pro china propaganda (get it? They literally said they do not like how we Speak or how we Assemble. Independent journalists reach their audience on tt meaning they have Press they want to suppress)
Tiktok users: this is fucking bullshit i don’t want to lose this community what should we do? We don’t want to go to meta or x because they both lobbied congress to ban tiktok (free market capitalism amirite? Paying off your local congressmen to suppress the competition is totally what the free market is about) but nothing else is like TikTok
A few users: what about xiaohongshu? It’s the Chinese version of tiktok (not quite, douyin is the chinese tiktok but it’s primarily for younger users so xiaohongshu was chosen)
16 hours later:

Tiktok as a community has chosen to collectively migrate TO a chinese owned app that is purely in Chinese out of utter spite and contempt for meta/x and the gov that is backing them.
My fyp is a mix of “i would rather mail memes to my friends than ever return to instagram reels” and “i will xerox my data to xi jinping myself i do not care i share my ss# with 5 other people anyway” and “im just getting ready for my day with my chinese made coffee maker and my Chinese made blowdryer and my chinese made clothing and listening to a podcast on my chinese made phone and get in my car running on chinese manufactured microchips but logging into a chinese social media? Too much for our gov!” etc.
So the government was scared that tiktok was creating a sense of class consciousness and tried to kill it but by doing so they sent us all to xiaohongshu. And now? Oh it’s adorable seeing this gov-manufactured divide be crossed in such a way.







This is adorable and so not what they were expecting. Im sure they were expecting a reluctant return to reels and shorts to fill the void but tiktokers said fuck that, we will forge connections across the world. Who you tell me is my enemy i will make my friend. That’s pretty damn cool.
#tiktok ban#xiaohongshu#the great tiktok migration of 2025#us politics#us government#scotus#ftr tiktok is owned primarily by private investors and is not operated out of china#and all us data is stored on servers here in the us#tiktok also employs 7000 us employees to maintain the US side of operations#like they’re just lying to get us to shut up about genocide and corruption#so fuck it we’ll go spill all the tea to ears that wanna hear it cause this country is not what its cracked up to be#we been lied to and the rest of the world has been lied to#if scotus bans it tomorrow i can’t wait for their finding out#rednote
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Inteligencia Artificial en Marketing y Publicidad: Herramientas Clave que Definen el Futuro
¿Qué es la Inteligencia Artificial (IA) en Marketing y Publicidad y Para Qué Sirve? La Inteligencia Artificial (IA) en Marketing y Publicidad se refiere a la aplicación de tecnologías y algoritmos de IA (como el aprendizaje automático, el procesamiento del lenguaje natural y el análisis predictivo) para optimizar y automatizar diversas tareas y estrategias de marketing. No se trata de robots…
#Adext AI#Adobe Sensei#AdTech#Albert AI#Amplify.ai#análisis predictivo#Aprendizaje Automático#Automatización de Marketing#Big Data Marketing#Brandwatch#chatbots#Conversica#Cortex#Crimson Hexagon#Drift#Experiencia del Cliente#Generación de Contenido AI#HubSpot Marketing Hub#IA en Marketing#inteligencia artificial#Marketing Conversacional#marketing digital#Marketo Engage#MarTech#Optimización de Campañas#Optimove#Persado#personalización#Phrasee#Publicidad Online
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Quantitative Descriptive: Characteristics, Methods & Examples
Learn about quantitative descriptive research, its characteristics, methods, and examples. Insights Opinion offers the best market research services.
#market research#big market research partner#insightsopinion#quantitative data analysis services#quantitative research
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