#Data Labeling Companies in India

[priyanshilspl]

ADVANTAGES OF DATA ANNOTATION

Data annotation is essential for training AI models effectively. Precise labeling ensures accurate predictions, while scalability handles large datasets efficiently. Contextual understanding enhances model comprehension, and adaptability caters to diverse needs. Quality assurance processes maintain data integrity, while collaboration fosters synergy among annotators, driving innovation in AI technologies.

[enfuse-solutions]

The Ethics Of Data Annotation: Addressing Bias And Fairness

In the era of artificial intelligence and machine learning, data annotation plays a crucial role in shaping the performance and fairness of AI models. However, the ethical implications of data annotation must be considered. Ensuring ethical data annotation, addressing data annotation bias, and promoting fairness in data labeling is essential for creating unbiased and fair AI systems.

In this blog, we will explore the importance of ethical data annotation, strategies for reducing bias in AI, and the role of data annotation companies in India, like EnFuse Solutions, in setting high standards for fairness and accuracy.

Understanding Data Annotation And Its Ethical Implications

Data annotation involves labeling data to train AI models, enabling them to recognize patterns and make decisions. The quality and fairness of these annotations directly impact the performance and ethicality of AI systems. Ethical data annotation practices are vital to prevent the propagation of biases that can lead to discriminatory outcomes in AI applications.

Identifying And Addressing Data Annotation Bias

Data annotation bias occurs when the labels applied to training data reflect the prejudices of the annotators or the dataset itself. This bias can manifest in various forms, such as gender, racial, or cultural biases, and can lead to unfair AI predictions and decisions. To mitigate data annotation bias, it is essential to:

1. Diversify Annotator Teams: Ensuring that annotator teams are diverse can help bring multiple perspectives and reduce the risk of biased annotations. A diverse team can better understand and address cultural and social nuances.

2. Implement Annotator Training: Providing comprehensive training for annotators on recognizing and avoiding biases is crucial. This training should include guidelines on ethical data annotation practices and the importance of fairness in data labeling.

3. Use Bias Detection Tools: Employing tools that can detect and flag potential biases in annotated data can help maintain the quality and fairness of the dataset. Regular audits of the annotated data can identify and rectify biases.

Promoting Fairness In Data Labeling

Fairness in data labeling ensures that AI models do not favor or discriminate against any particular group. This can be achieved by:

1. Establishing Clear Annotation Standards: Developing and adhering to standardized annotation guidelines can help ensure consistency and fairness in data labeling. These standards should emphasize the importance of neutrality and objectivity.

2. Conducting Regular Reviews: Regular reviews and quality checks of the annotated data can help maintain high ethical standards. Involving external reviewers can provide an unbiased assessment of the annotations.

3. Ensuring Transparency: Maintaining transparency in the data annotation allows for accountability and trust. Documenting the annotation guidelines, procedures, and decision-making processes can help build confidence in the fairness of the labeled data.

The Role Of Data Annotation Companies In India

Data annotation companies in India, such as EnFuse Solutions, are at the forefront of promoting ethical AI practices. These companies are committed to delivering high-quality, unbiased, and fair data annotations that adhere to stringent ethical standards. EnFuse Solutions, for instance, emphasizes the importance of ethical AI training data and employs robust strategies to prevent annotator bias.

Conclusion

The ethics of data annotation are paramount in creating fair and unbiased AI systems. Addressing data annotation bias, promoting fairness in data labeling, and implementing ethical AI practices are essential steps in this direction. By adhering to high ethical standards, data annotation companies in India, like EnFuse Solutions, are setting a benchmark for fairness and accuracy in AI training data.

As we continue to advance in the field of AI, ensuring ethical data annotation will be crucial in building AI systems that are not only intelligent but also just and equitable.

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[fromtenthousandfeet]

https://www.tumblr.com/fromtenthousandfeet/766065012296056833/so-basically-what-im-getting-is-that-hybe-and?source=share

You know I've worked under a CEO who had a massive ego. With men like that and companies that have a culture like that, you'll see that ultimately decisions will be based on the CEOs "gut instincts". I'd bring up data driven proposals based on market research and argue for initiatives I believed in because I naively thought my success = company profits from my proposals. I quickly realised that nope, people who showed worse results than me got shifted to better projects because they were massaging the CEOs ego better. You'd have treat his ego like a delicate baby bird egg and make him think what you want is his decision. This is a dynamic in a lot of places but it's esp strong in asian workplaces and being a woman also unfortunately makes a difference. I admit instead of sticking by my principles, I adopted a similar approach and immediately started getting more acclaim for my work even though imo it was actually worse than before. I ultimately got tired of all of it and moved to an mnc where things are less about catering to one man.

Anyway this long rant was just to say, you'd think that in the face of overwhelming evidence that they're not backing a strong solo talent like Jimin enough, this dumbass music label would course correct and fix their mistakes. This is why so many pjms think Jimin's not continuing with hybe. But I'm gonna say men like bang si hyuk who probably solely credits himself as the brains behind the success of BTS more than any member and think their thoughts are always right, would rather double down than admit they made a mistake and did not identify Jimin's solo talent correctly.

Of course I don't have any inside scoop on Hybe and perhaps I'm projecting too much of my personal experience here but as much as I don't like MHJ, I can identify with that aspect of her complaints which were obvious from the messages she exposed that she exchanged with BSH. Or that post by the Hybe employee you shared who talked about getting pushed out of the company. Hell even the myriad controversies that keep getting exposed about Hybe employees bitching about their artists on forums, getting exposed for insider trading, potentially being on DC gallery and selling info to ssngs, the cloying nature of that internal report, embezzlement scandals etc - I know they're a big corporation but it is not normal to have so many issues in such a short period of time. It's a symptom of a toxic workplace where things are festering under the surface.

A bunch of misogynistic, old Korean men decided to back JK and his bad boy aesthetic instead of Jimin whose appeal is more soft and unisex - it's not surprising right? We talk about how men look down on kpop esp boy groups because their fanbase is primarily women, and we talk at length about how sea countries have a higher tendency to shun Jimin because of some internalised homophobia (wild considering we don't know anything about his romantic life) - but these are the same type of people who are in charge of orgs like Hybe. Of course their asses don't back him or see his potential. Also why they're struggling so hard to break into western markets. They cannot see beyond their own twisted ideas of what makes a successful artist - esp a male solo artist

Truly I think they personally don't see his appeal or like his music and they think that means he can't make it even though at this point it's becoming kind of obvious he's perhaps the most popular member in the US and latam. And damn with who, he's doing amazing in Russia, Europe and India too. Will they get their heads out of their asses and give him the promo he deserves? I really don't know. I don't think he's parted ways with Hybe like some pjms so unless he plans to in the future, I can only hope they're eventually forced to see the light.

PS I'm from a sea country, currently working in the middle east so I don't bring up Asian work culture or sea / asian countries to be derogatory but from personal experience. Also sorry about how long this got!

Thank you to the anon who sent this to me so long ago (in response to the weekly industry trends leak). I've been waiting for the right time to share this and today feels like the day with the announcement of the new BigHit CEO announcement.

I saw the most amazing comment from a KPJM today - only pigs survive in pigsties. Maybe the new CEO will be great and a much needed fresh start, but it's also possible that she's held on for so long in the company because she's willing to do what's necessary to keep her job and move up the ladder. We shall see. I'm staying neutral for now.

Thank you for sharing your personal experience and your insights.

[sudaca-swag]

https://www.tumblr.com/sudaca-swag/767116058622590976/seeing-small-countries-that-have-never-done-damage?source=share

i don't necessarily disagree but...north korea are helping funding russia's invasion and war on ukraine, where they are killing civilians and taking their land? And how do these europeans countrys you mention main income come from weapon...i'm swedish and i did not realize that was our main income nor that we are colonizing any country.

If you think for one second that north Korea is at the scale of economical and political power to be able to single handedly supply Russia like say the US does with Israel you're wrong, in any case at most they would be an outsourced factory to jump around international regulations for the Russian government, and if you think that Europe and the US arent benefitting immensely from the weapon economy regarding the Ukraine-Russia conflict you're very wrong, they're in no hurry to close that gold mine. So let's better talk about what actually moves the wheel which are the billions and billions of US dollars and European riches going into funding wars and genocides across the world directly from the hand of western politicians.

And as for the Sweden comment, here's an article from last may from Le Monde, Sweden is the 13th largest arm export country and is unfortunately looking to climb up the ladder faster no matter how green they pretend to go amongst their citizens for votes, I suggest you read it because it says some very interesting things about those in power in your country and their ties to said war industries, and how war around the globe is the joint group effort of rich countries coming together for even more profit. I'll put some of the article down here since it's locked past the first paragraphs, but if you Google "Sweden arm industry" you will be surprised at the huge amount of articles like this written about this, you should check them out they're quite short: "Certain Nordic nations have emerged as significant suppliers of security technologies and weapon systems internationally. Simultaneously, these countries are widely perceived and labelled as the ‘do-gooders’ in global affairs. This perception is supported by many characterisations of the Nordics as ‘agents of a world common good’ and ‘moral superpowers’ ".

And here's some more data from 2022: In 2014, it was the third largest weapons exporter per capita at $53.1 per capita, behind only Israel at $97.7 and Russia at $57.7. From 2009 to 2019, it was the world’s ninth largest arms exporter in U.S. dollars with a cumulative value of $14.3 billion. In the same time period, it ranked eighth in arms as a percentage of total exports. Swedish factories produce not just small arms, but advanced systems like fighter aircraft, missiles, tanks, submarines, corvettes, and air-defense platforms.

"While Western countries nominally define themselves by individualism and meritocracy, Sweden highlights the viability of dynastic, family-oriented elites in creating and maintaining powerful industrial societies. Sweden is in fact an exemplar of a unique European model of governance and political economy, but one that cleverly and counterintuitively wraps elite-led industrial strength intended to support military capacity in an egalitarian and pacifist packaging"

"Saab's share price has soared, more than tripling since February 2022. Orders have exploded. The Swedish manufacturer invested €150 million in its production capacity. Nothing like this had happened since the group began manufacturing Carl Gustafs in 1948, according to Michael Höglund, head of the Land Combat division. Several factories will be built in Sweden and abroad, notably in India. The aim is to quadruple deliveries of anti-tank weapons and ammunition by 2025, from 100,000 to 400,000 units a year.

Johansson said the war in Ukraine was a formidable "showcase" for Saab. In 2023, the group's orders, already up in 2022, climbed by 23%, as did its sales, which reached 51.6 billion Swedish krona (€4.5 billion), while its profit grew by 51%, ending at 3.4 billion krona.

Over the past year, the manufacturer, which employs over 21,000 people worldwide, including 16,000 in Sweden, has increased its workforce by almost 2,500 and is continuing to recruit. And it's not the only one. The entire Swedish arms industry is abuzz – a sector that brings together around 200 companies, some 60 of which are foreign-owned. In 2022, these companies, with sales of 48.5 billion krona, employed over 28,000 people. "We don't yet have the result for 2023, but it should be much higher," said Robert Limmergard, director of the Swedish Security and Defense Industry Association.

Demand is largely fuelled by Sweden, whose military spending is set to reach 2% of gross domestic product (GDP) by 2024. Finally integrated into NATO on March 7, the kingdom is pulling out all the stops to replenish its armaments stocks, after decades of disengagement. "We have placed orders for equipment, both in Sweden and abroad, for 19 billion krona in 2021, 36 billion in 2022 and 52 billion in 2023," said Göran Martensson, director of the Swedish Defense Materiel Administration (FMV). Exports have also risen by 18% in 2023, placing Sweden 13th in the world.

Saab was founded in 1937. "The company was formed on a handshake between the chairman of our board of directors at the time, Marcus Wallenberg [grandfather of the current president, whose family is still the group's majority shareholder], and the prime minister," said CEO Johansson.

SOFF director Limmergard: "Companies don't like me to say it, but in the late 1980s we had an Ikea-style arms industry. We had to produce high volumes, easy-to-understand and easy-to-use weapons that had to be functional and cheap. It was this tradition that enabled us to gain international market share and maintain a large industry, with companies that have since succeeded in specializing in niche markets, sometimes with the help of foreign investment."

The main bottleneck is the production line. It's impossible to increase deliveries of weapons and ammunition if suppliers don't keep up. For the Carl Gustafs, there are around 200 suppliers, some of whom have several customers, all of whom have increased their orders. This is the case, for example, with Norway's Nammo, one of Europe's largest ammunition manufacturers, with whom Saab has just signed an agreement. "We have jointly decided to develop our own warhead molding capacity. Meanwhile, they will be refocusing on artillery ammunition, which will give us greater production capacity together," said Höglund."

[mariacallous]

Thousands of law enforcement officials and people applying to be police officers in India have had their personal information leaked online—including fingerprints, facial scan images, signatures, and details of tattoos and scars on their bodies. If that wasn’t alarming enough, at around the same time, cybercriminals have started to advertise the sale of similar biometric police data from India on messaging app Telegram.

Last month, security researcher Jeremiah Fowler spotted the sensitive files on an exposed web server linked to ThoughtGreen Technologies, an IT development and outsourcing firm with offices in India, Australia, and the US. Within a total of almost 500 gigabytes of data spanning 1.6 million documents, dated from 2021 until when Fowler discovered them in early April, was a mine of sensitive personal information about teachers, railway workers, and law enforcement officials. Birth certificates, diplomas, education certificates, and job applications were all included.

Fowler, who shared his findings exclusively with WIRED, says within the heaps of information, the most concerning were those that appeared to be verification documents linked to Indian law enforcement or military personnel. While the misconfigured server has now been closed off, the incident highlights the risks of companies collecting and storing biometric data, such as fingerprints and facial images, and how they could be misused if the data is accidentally leaked.

“You can change your name, you can change your bank information, but you can't change your actual biometrics,” Fowler says. The researcher, who also published the findings on behalf of Website Planet, says this kind of data could be used by cybercriminals or fraudsters to target people in the future, a risk that’s increased for sensitive law enforcement positions.

Within the database Fowler examined were several mobile applications and installation files. One was titled “facial software installation,” and a separate folder contained 8 GB of facial data. Photographs of people’s faces included computer-generated rectangles that are often used for measuring the distance between points of the face in face recognition systems.

There were 284,535 documents labeled as Physical Efficiency Tests that related to police staff, Fowler says. Other files included job application forms for law enforcement officials, profile photos, and identification documents with details such as “mole at nose” and “cut on chin.” At least one image shows a person holding a document with a corresponding photo of them included on it. “The first thing I saw was thousands and thousands of fingerprints,” Fowler says.

Prateek Waghre, executive director of Indian digital rights organization Internet Freedom Foundation, says there is “vast” biometric data collection happening across India, but there are added security risks for people involved in law enforcement. “A lot of times, the verification that government employees or officers use also relies on biometric systems,” Waghre says. “If you have that potentially compromised, you are in a position for someone to be able to misuse and then gain access to information that they shouldn’t.”

It appears that some biometric information about law enforcement officials may already be shared online. Fowler says after the exposed database was closed down he also discovered a Telegram channel, containing a few hundred members, which was claiming to sell Indian police data, including of specific individuals. “The structure, the screenshots, and a couple of the folder names matched what I saw,” says Fowler, who for ethical reasons did not purchase the data being sold by the criminals so could not fully verify it was exactly the same data.

“We take data security very seriously, have taken immediate steps to secure the exposed data,” a member of ThoughtGreen Technologies wrote in an email to WIRED. “Due to the sensitivity of data, we cannot comment on specifics in an email. However, we can assure you that we are investigating this matter thoroughly to ensure such an incident does not occur again.”

In follow-up messages, the staff member said the company had “raised a complaint” with law enforcement in India about the incident, but did not specify which organization they had contacted. When shown a screenshot of the Telegram post claiming to sell Indian police biometric data, the ThoughtGreen Technologies staff member said it is “not our data.” Telegram did not respond to a request for comment.

Shivangi Narayan, an independent researcher in India, says the country’s data protection law needs to be made more robust, and companies and organizations need to take greater care with how they handle people’s data. “A lot of data is collected in India, but nobody's really bothered about how to store it properly,” Narayan says. Data breaches are happening so regularly that people have “lost that surprise shock factor,” Narayan says. In early May, one cybersecurity company said it had seen a face-recognition data breach connected to one Indian police force, including police and suspect information.

The issues are wider, though. As governments, companies, and other organizations around the world increasingly rely on collecting people’s biometric data for proving their identity or as part of surveillance technologies, there’s an increased risk of the information leaking online and being abused. In Australia, for instance, a recent face recognition leak impacting up to a million people led to a person being charged with blackmail.

“So many other countries are looking at biometric verification for identities, and all of that information has to be stored somewhere,” Fowler says. “If you farm it out to a third-party company, or a private company, you lose control of that data. When a data breach happens, you’re in deep shit, for lack of a better term.”

[reasoningdaily]

Across a sterile white table in a windowless room, I’m introduced to a woman in her forties. She has a square jaw and blonde hair that has been pulled back from her face with a baby-blue scrunchie. “The girls call me Marmalade,” she says, inviting me to use her prison nickname. Early on a Wednesday morning, Marmalade is here, in a Finnish prison, to demonstrate a new type of prison labor.

The table is bare except for a small plastic bottle of water and an HP laptop. During three-hour shifts, for which she’s paid €1.54 ($1.67) an hour, the laptop is programmed to show Marmalade short chunks of text about real estate and then ask her yes or no questions about what she’s just read. One question asks: “is the previous paragraph referring to a real estate decision, rather than an application?”

“It’s a little boring,” Marmalade shrugs. She’s also not entirely sure of the purpose of this exercise. Maybe she is helping to create a customer service chatbot, she muses.

In fact, she is training a large language model owned by Metroc, a Finnish startup that has created a search engine designed to help construction companies find newly approved building projects. To do that, Metroc needs data labelers to help its models understand clues from news articles and municipality documents about upcoming building projects. The AI has to be able to tell the difference between a hospital project that has already commissioned an architect or a window fitter, for example, and projects that might still be hiring.

Around the world, millions of so-called “clickworkers” train artificial intelligence models, teaching machines the difference between pedestrians and palm trees, or what combination of words describe violence or sexual abuse. Usually these workers are stationed in the global south, where wages are cheap. OpenAI, for example, uses an outsourcing firm that employs clickworkers in Kenya, Uganda, and India. That arrangement works for American companies, operating in the world’s most widely spoken language, English. But there are not a lot of people in the global south who speak Finnish.

That’s why Metroc turned to prison labor. The company gets cheap, Finnish-speaking workers, while the prison system can offer inmates employment that, it says, prepares them for the digital world of work after their release. Using prisoners to train AI creates uneasy parallels with the kind of low-paid and sometimes exploitive labor that has often existed downstream in technology. But in Finland, the project has received widespread support.

“There's this global idea of what data labor is. And then there's what happens in Finland, which is very different if you look at it closely,” says Tuukka Lehtiniemi, a researcher at the University of Helsinki, who has been studying data labor in Finnish prisons.

For four months, Marmalade has lived here, in Hämeenlinna prison. The building is modern, with big windows. Colorful artwork tries to enforce a sense of cheeriness on otherwise empty corridors. If it wasn’t for the heavy gray security doors blocking every entry and exit, these rooms could easily belong to a particularly soulless school or university complex.

Finland might be famous for its open prisons—where inmates can work or study in nearby towns—but this is not one of them. Instead, Hämeenlinna is the country’s highest-security institution housing exclusively female inmates. Marmalade has been sentenced to six years. Under privacy rules set by the prison, WIRED is not able to publish Marmalade’s real name, exact age, or any other information that could be used to identify her. But in a country where prisoners serving life terms can apply to be released after 12 years, six years is a heavy sentence. And like the other 100 inmates who live here, she is not allowed to leave.

When Marmalade first arrived, she would watch the other women get up and go to work each morning: they could volunteer to clean, do laundry, or sew their own clothes. And for a six hour shift, they would receive roughly €6 ($6.50). But Marmalade couldn’t bear to take part. “I would find it very tiring,” she says. Instead she was spending long stretches of time in her cell. When a prison counselor suggested she try “AI work,” the short, three-hour shifts appealed to her, and the money was better than nothing. “Even though it’s not a lot, it’s better than staying in the cell,” she says” She’s only done three shifts so far, but already she feels a sense of achievement.

This is one of three Finnish prisons where inmates can volunteer to earn money through data labor. In each one, there are three laptops set up for inmates to take part in this AI work. There are no targets. Inmates are paid by the hour, not by their work’s speed or quality. In Hämeenlinna, around 20 inmates have tried it out, says Minna Inkinen, a prison work instructor, with cropped red hair, who sits alongside Marmalade as we talk. “Some definitely like it more than others”. When I arrive at the prison on a Wednesday morning, the sewing room is already busy. Inmates are huddled over sewing machines or conferring in pairs over mounds of fabric. But the small room where the AI work takes place is entirely empty until Marmalade arrives. There are only three inmates in total who regularly volunteer for AI shifts, Inkinen says, explaining that the other two are currently in court. “I would prefer to do it in a group,” says Marmalade, adding that she keeps the door open so she can chat with the people sewing next door, in between answering questions.

Those questions have been manually written in an office 100 kilometers south of the prison, in a slick Helsinki coworking space. Here, I meet Metroc’s tall and boyish founder and CEO, Jussi Virnala. He leads me to a stiflingly hot phone booth, past a row of indoor swings, a pool table, and a series of men in suits. It’s an exciting week, he explains, with a grin. The company has just announced a €2 million ($2.1 million) funding round which he plans to use to expand across the Nordics. The investors he spoke with were intrigued by the company’s connection to Finland’s prisons, he says. “Everyone was just interested in and excited about what an innovative way to do it,” says Virnala. “I think it’s been really valuable product-wise.”

It was Virnala’s idea to turn to the prisons for labor. The company needed native Finnish speakers to help improve its large language model’s understanding of the construction-specific language. But in a high-wage economy like Finland, finding those data laborers was difficult. The Finnish welfare system’s generous unemployment benefits leaves little incentive for Finns to sign up to low-wage clickwork platforms like Amazon’s Mechanical Turk. “Mechanical Turk didn’t have many Finnish-language workers,” says Virnala. At the same time, he adds, automatic translation tools are still no good at Finnish, a language with only 5 million native speakers.

When Virnala pitched his idea to Pia Puolakka, head of the Smart Prison Project at Finland’s prison and probation agency, she was instantly interested, she says. Before the pandemic, another Finnish tech company called Vainu had been using prisoners for data labor. But Vainu abruptly pulled out after a disagreement between cofounders prompted Tuomas Rasila, who had been in charge of the project, to leave the company.

By the time Virnala approached her with his proposal in 2022, Puolakka was eager to resurrect the AI work. Her job is to try and make the relationship between Finnish prisons and the internet more closely resemble the increasingly digital outside world. So far, she has been installing laptops in individual cells so inmates can browse a restricted list of websites and apply for permission to make video calls. She considers data labor just another part of that mission.

The aim is not to replace traditional prison labor, such as making road signs or gardening. It’s about giving prisoners more variety. Data labeling can only be done in three-hour shifts. “It might be tiring to do this eight hours a day, only this type of work,” she says, adding that it would be nice if inmates did the data labeling alongside other types of prison labor. “This type of work is the future, and if we want to prepare prisoners for life outside prison, a life without crime, these types of skills might be at least as important as the traditional work types that prisons provide,” she says.

But how much data labeling offers inmates skills that are transferable to work after prison is unclear. Tuomas Rasila, the now estranged cofounder of Vainu, who managed the prison project there for a year, admits he has no evidence of this; the project wasn’t running for long enough to collect it, he says. “I think asking people, who might feel outside of society, to train the most high-tech aspect of a modern society is an empowering idea.”

However, others consider this new form of prison labor part of a problematic rush for cheap labor that underpins the AI revolution. “The narrative that we are moving towards a fully automated society that is more convenient and more efficient tends to obscure the fact that there are actual human people powering a lot of these systems,” says Amos Toh, a senior researcher focusing on artificial intelligence at Human Rights Watch.

For Toh, the accelerating search for so-called clickworkers has created a trend where companies are increasingly turning to groups of people who have few other options: refugees, populations in countries gripped by economic crisis—and now prisoners.

“This dynamic is a deeply familiar one,” says Toh. “What we are seeing here is part of a broader phenomenon where the labor behind building tech is being outsourced to workers that toil in potentially exploitative working conditions.”

Toh is also skeptical about whether data labor can help inmates build digital skills. “There are many ways in which people in prison can advance themselves, like getting certificates and taking part in advanced education,” he says. “But I'm skeptical about whether doing data labeling for a company at one euro per hour will lead to meaningful advancement.” Hämeenlinna prison does offer inmates online courses in AI, but Marmalade sits blank-faced as staff try to explain its benefits.

Science

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By the time I meet Lehtiniemi, the researcher from Helsinki University, I’m feeling torn about the merits of the prison project. Traveling straight from the prison, where women worked for €1.54 an hour, to Metroc’s offices, where the company was celebrating a €2 million funding round, felt jarring. In a café, opposite the grand, domed Helsinki cathedral, Lehtiniemi patiently listens to me describe that feeling.

But Lehtiniemi’s own interviews with inmates have given him a different view—he’s generally positive about the project. On my point about pay disparity, he argues this is not an ordinary workforce in mainstream society. These people are in prison. “Comparing the money I get as a researcher and what the prisoner gets for their prison labor, it doesn't make sense,” he says. “The only negative thing I’ve heard has been that there’s not enough of this work. Only a few people can do it,” he says, referring to the limit of three laptops per prison.

“When we think about data labor, we tend to think about Mechanical Turk, people in the global south or the rural US,” he says. But for him, this is a distinct local version of data labor, which comes with a twist that benefits society. It’s giving prisoners cognitively stimulating work—compared to other prison labor options—while also representing the Finnish language in the AI revolution.

Without this kind of initiative, Lehtiniemi worries that non-English languages are being locked out of this next generation of technology. Smart speakers still struggle to understand Finnish dialects. “Not all Finnish people speak English very well, so there's a need for these local forms of data labeling as well,” Lehtiniemi says. Metroc isn’t the only company that has been forced to get creative about finding Finnish data labor. In 2011, the national library created a game to incentivize volunteers to help digitize its archive. In 2020, broadcaster YLE teamed up with Helsinki University and the state development company VAKE to ask volunteers to donate recordings of them speaking Finnish.

There is a sense in Finland that the prison project is just the beginning. Some are worried it could set a precedent that could introduce more controversial types of data labeling, like moderating violent content, to prisons. “Even if the data being labeled in Finland is uncontroversial right now, we have to think about the precedent it sets,” says Toh. “What stops companies from outsourcing data labeling of traumatic and unsavory content to people in prison, especially if they see this as an untapped labor pool?”

It's also not clear whether labor conditions in Finland's prisons—which famously focus on rehabilitation—could be replicated in other countries with a less progressive approach to justice. In the US, 76 percent of prisoners report that prison labor is mandatory, according to civil rights group, the ACLU. “The prison system in the United States is very, very different from what we have in Finland or Nordic countries. It's a completely different idea,” says Rasila. “In Finland, there is an exclusively positive feeling around the project because everyone knows that this is very voluntary.”

AI companies are only going to need more data labor, forcing them to keep seeking out increasingly unusual labor forces to keep pace. As Metroc plots its expansion across the Nordics and into languages other than Finnish, Virnala is considering whether to expand the prison labor project to other countries. “It’s something we need to explore,” he says.

[outsourcebigdata]

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APISCRAPY: AI driven web scraping & workflow automation platform APISCRAPY is an AI driven web scraping and automation platform that converts any web data into ready-to-use data. The platform is capable to extract data from websites, process data, automate workflows, classify data and integrate ready to consume data into database or deliver data in any desired format. 

AI-Labeler: AI augmented annotation & labeling solution AI-Labeler is an AI augmented data annotation platform that combines the power of artificial intelligence with in-person involvement to label, annotate and classify data, and allowing faster development of robust and accurate models.

AI-Data-Hub: On-demand data for building AI products & services On-demand AI data hub for curated data, pre-annotated data, pre-classified data, and allowing enterprises to obtain easily and efficiently, and exploit high-quality data for training and developing AI models.

PRICESCRAPY: AI enabled real-time pricing solution An AI and automation driven price solution that provides real time price monitoring, pricing analytics, and dynamic pricing for companies across the world. 

APIKART: AI driven data API solution hub  APIKART is a data API hub that allows businesses and developers to access and integrate large volume of data from various sources through APIs. It is a data solution hub for accessing data through APIs, allowing companies to leverage data, and integrate APIs into their systems and applications. 

Locations: USA: 1-30235 14656  Canada: +1 4378 370 063  India: +91 810 527 1615  Australia: +61 402 576 615 Email: Sales@aimleap.com

[vcqrupvt]

Why Need Build Customer Loyalty? A Comprehensive Guide

VCQRU is a leading anti-counterfeiting solutions company in India, offering one-stop solutions for anti-counterfeiting, custom QR code, smart packaging, labels stickers, and e-warranty solutions with dynamic QR code.

Read more:

[foodandbeverages]

Organic Acid Market Potential Growth, Share, Demand And Analysis Of Key Players- Analysis Forecasts To 2032

In 2022, it is anticipated that the organic acids market will reach US$ 11.3 billion. The market for organic acid is expected to reach US$ 18.8 Bn by 2032, growing at a constant CAGR of 5.3% throughout the projected period.

Market prospects are anticipated to be favorable due to the expanding use of organic acids in the food and beverage industry. In addition, during the course of the projection period, there will be chances for market expansion due to the rising demand for organic acid alternatives.

These acids have multiple applications in animal feed industry to inhibit bacterial growth and provide hosts with nutritional content. They are used in cosmetics to get rid of dead cells and nourish skin. Owing to these factors, demand for organic acids is expected to rise in the forthcoming years.

To remain ‘ahead’ of your competitors, request for @ https://www.futuremarketinsights.com/reports/sample/rep-gb-159

Consumers are adopting a healthy lifestyle and are conscious about the intake of any products that contain chemical ingredients which be harsh on their skin or cause any side effects because of daily consumption.

Consumer preference for brands that are offering organic products without harmful chemical additives is expected to influence the demand for organic acids. To fulfil rising consumer demand for natural products, manufacturers are developing technologies and clean label products that do not cause any harm to environment and human health.

Asia Pacific is expected to witness surge in demand for organic acids due to less stringent policies. North America is expected to be the hub for manufacturing and export of different organic acids due to easy availability of infrastructure and technical know-how.

“Growing preference for clean label products across the food & beverage sector, coupled with increasing incorporation of organic acids in animal feed will steer growth in the market over the forecast period,” says an FMI analyst. 

Key Takeaways:

The     organic acid market is expected to grow at CAGR of 5.2% and 4.2% in North     America and the Latin America, respectively, through 2032.

Asia     Pacific is expected to account for 30% of the total organic acid market     share share.

The     Europe organic acid market is expected to reach a valuation of US$ 4.5 Bn     over the forecast period.

Total     sales in the U.S. organic acids market will reach a valuation of US$ 2.1     Bn in 2022.

The     India organic acid market valuation will total US$ 1.07 Bn in 2022.

By     application, sales in the poultry and farming segment are projected to     account for 30% of the total market share.

Based     on product type, demand for citric acid will continue gaining traction.

Competitive Landscape

Key organic acid manufacturers are focusing on research & development to offer various products with no chemical additives. Key players are collaborating and developing new products to penetrate untapped markets. For instance:

Eastman     Chemical Company announced the acquisition of 3F Feed & Food, a     European pioneer in the commercial and technical producer of livestock     feed and human food additives. 3F’s operations and assets, which are based     in Spain, will improve and support Eastman’s animal nutrition industry’s     sustained future demand and will be integrated into the company’s     Additives & Functional Products division.

Explore More Valuable Insights

Future Market Insights, in its new report, offers an impartial analysis of the global reduced fat butter market, presenting historical data (2017-2021) and estimation statistics for the forecast period of 2022-2032.

The study offers compelling insights based on  Product Type (Lactic Acid, Formic Acid,  Acetic Acid, Citric Acid,  Propionic Acid, Ascorbic Acid, Gluconic Acid, Fumaric Acid), Application (Poultry and Farming, Pharmaceuticals, Industrial, Food & Beverages)Region (North America, Latin America, Europe, East Asia, South Asia, Oceania, MEA).

Frequently Asked Questions

How     much is the global organic acid market worth?

What     is the demand outlook forecast for the organic acid market?

At     what rate did the demand for organic acid grow between 2027 to 2021?

At     what rate will organic acid demand grow in Europe?

What     is the North America organic acid market outlook?

Empower your business strategy with our comprehensive report on the organic acid market@ https://www.futuremarketinsights.com/reports/global-organic-acids-market

[aidc-india]

Barcode Security Tags 2025: Smart Theft Prevention Tech | AIDC

Introduction to Barcode Security Tags in 2025

As we move through 2025, technology continues to evolve to meet the demands of the modern retail and logistics industries. One of the most effective tools in loss prevention and inventory management is the Barcode Security Tag. These small yet powerful tools are helping businesses of all sizes reduce theft, manage stock efficiently, and maintain accurate records. Whether you're a retailer or warehouse manager, understanding barcode security technology is essential for smoother operations and smarter theft prevention.

How Barcode Security Tags Prevent Theft

The primary function of Barcode Security Tags is to deter and detect unauthorized product removal. These tags are usually attached to merchandise and linked to a point-of-sale system. When a tagged item is not properly deactivated or removed at checkout, it triggers an alarm system at the store exit. This simple yet effective system prevents shoplifting and ensures that inventory remains secure.

Additionally, barcode tags make it easier for staff to conduct quick visual checks and act proactively if tampering is noticed. For warehouses and storage facilities, they help keep high-value items traceable and protected.

Key Features of Smart Barcode Security Tags

In 2025, Barcode Security Tags have become smarter, more durable, and easier to manage. Some key features include:

Tamper-proof designs that prevent unauthorized removal.

Integration with electronic article surveillance (EAS) and RFID systems for enhanced tracking.

Customizable labels and materials suitable for apparel, electronics, and grocery products.

Compact form factors that do not obstruct the appearance or packaging of items.

These advancements make barcode tags not only secure but also user-friendly for staff and customers alike.

Barcode Security Tags vs. Traditional Security Systems

Traditional theft prevention systems rely heavily on manual checks and camera surveillance. While these methods still play a role, Barcode Security Tags offer a more proactive and cost-effective solution. Unlike security cameras, which require monitoring and review, barcode tags work in real time to alert staff when theft occurs.

Moreover, barcode tagging systems are easier to implement and more affordable than high-end security networks. Their compatibility with POS systems also makes them a smarter option for businesses looking to integrate theft prevention with sales and inventory data.

Top Applications of Barcode Security Tags

Barcode Security Tags are used across various industries to safeguard products and ensure inventory accuracy. Here are some common applications:

Retail stores: Protecting clothing, electronics, cosmetics, and groceries.

Pharmacies: Ensuring safe tracking of medical supplies and drugs.

Warehouses: Monitoring storage and movement of bulk goods.

Libraries: Preventing unauthorized removal of books and records.

No matter the industry, these tags offer peace of mind by ensuring that each item is accounted for and protected.

Benefits of Using Barcode Security Tags in Retail

Retail businesses benefit greatly from the use of Barcode Security Tags. Here’s how:

Reduced losses from shoplifting and internal theft.

Faster checkouts through automated deactivation systems.

Accurate inventory tracking, reducing the need for frequent manual stock counts.

Enhanced customer experience as staff can focus more on service than surveillance.

For growing businesses, these tags help create a secure, professional, and technology-enabled environment that builds customer trust and operational efficiency.

How AIDC Technologies India Enhances Barcode Security

AIDC Technologies: Driving Innovation in Security Solutions

AIDC Technologies India is a trusted name when it comes to providing secure, scalable, and smart barcode solutions. With years of experience in the field of Auto Identification and Data Capture (AIDC), the company offers advanced Barcode Security Tags tailored to the needs of modern businesses. Their solutions are not just products, but complete systems that integrate with your point-of-sale, warehouse management, and security software.

AIDC ensures that each client receives a customized solution that fits their industry, budget, and growth goals. From apparel tagging to high-value electronic protection, AIDC’s tags are engineered to deliver reliability and performance. Whether you're a startup retailer or a large-scale warehouse operator, AIDC's security products are designed to support long-term success.

Choosing the Right Barcode Security Tag for Your Business

Selecting the appropriate Barcode Security Tags depends on several factors, such as product type, store layout, and system compatibility. Here are a few tips:

Choose tamper-resistant tags for electronics or high-value items.

Use detachable tags for fashion items that require customer trials.

Select permanent adhesive labels for packaging that should not be opened before purchase.

Consider reusable tags to save costs over time.

If you’re unsure which option best suits your needs, it's advisable to consult with a professional provider like AIDC Technologies India for expert guidance.

Integration of Barcode Security Tags with POS & Inventory Systems

One of the most valuable aspects of Barcode Security Tags in 2025 is their seamless integration with existing systems. Modern tags can be paired with:

Point-of-sale (POS) software for automatic deactivation at checkout.

Inventory management platforms for real-time stock updates.

Warehouse control systems to ensure smooth logistics and stock movement.

This integration reduces manual errors, streamlines operations, and provides real-time data visibility, which is essential for strategic decision-making.

Future of Barcode Security Tags: What to Expect After 2025

Looking ahead, Barcode Security Tags are expected to become more intelligent and multifunctional. Some anticipated advancements include:

Hybrid tags combining barcode, RFID, and GPS functionalities.

AI-enabled analytics to track theft trends and customer behavior.

Eco-friendly materials for sustainable and reusable tagging solutions.

Smarter deactivation methods to enhance checkout speed and security.

Businesses that adopt these technologies early will stay ahead of the curve in loss prevention and asset management.

Why AIDC India is the Trusted Partner for Barcode Security Solutions

AIDC Technologies India stands out as a reliable partner due to its commitment to quality, innovation, and customer satisfaction. Their in-depth understanding of industry-specific requirements allows them to deliver customized Barcode Security Tags and complete automation solutions. With a strong presence in India and a growing list of satisfied clients, AIDC continues to lead the way in barcode-based theft prevention.

Their team not only supplies the technology but also assists with installation, staff training, and ongoing support to ensure smooth implementation.

FAQs About Barcode Security Tags

Q1: Are barcode security tags reusable? Yes, many barcode tags are reusable, especially in the fashion and electronics sectors.

Q2: Can barcode security tags work with existing POS systems? Yes, most modern tags are designed to integrate easily with popular POS and inventory software.

Q3: Do these tags affect the customer experience? No, they are designed to be discreet, easy to remove at checkout, and non-intrusive.

Q4: Can AIDC help with system integration? Absolutely. AIDC provides end-to-end services, including integration and technical support.

Secure Your Business Today – Book AIDC Barcode Solutions

If you’re looking to secure your business with reliable, cost-effective, and smart barcode tagging solutions, AIDC Technologies India is the partner you can trust. With tailored offerings and technical expertise, they help you protect what matters most—your products, your revenue, and your brand.

Book Now AIDC Technologies to explore the best Barcode Security Tags and theft prevention systems for your business.

[talentrisemohit]

Machine learning software company India

🤖 Introduction

Choosing a top-tier machine learning software company in India is key for businesses embracing intelligent automation and data-driven decision-making. With India’s booming tech landscape and expert talent, machine learning solutions are shaping the future of industries across the globe.

🚀 Rise of Machine Learning Software Companies in India

India has become a dynamic hub for cutting-edge machine learning software companies, thanks to its rich pool of data scientists, software engineers, and AI researchers. These firms are spearheading innovation by crafting smart algorithms and scalable solutions that cater to global needs while leveraging local strengths.

🔍 Industry-Specific ML Applications

A top machine learning software company in India is likely to offer solutions across diverse industries—healthcare, finance, retail, and manufacturing. Predictive analytics, recommendation engines, and image recognition systems are transforming how businesses interact with data and customers.

💼 Why India Is a Preferred Destination

Outsourcing to a machine learning software company in India offers cost-effective development, faster turnaround times, and high-quality output. These companies combine domain expertise with emerging technologies like deep learning, NLP, and neural networks to deliver intelligent solutions.

📊 Enterprise Adoption & Benefits

Businesses working with machine learning software companies in India experience enhanced data-driven decision-making, automated operations, and improved customer targeting. These firms are helping enterprises shift from rule-based systems to self-learning models that adapt and evolve.

⚙️ Challenges and Smart Adaptation

While many Indian companies face challenges like data labeling, model accuracy, and integration hurdles, leading machine learning software companies in India are investing in research and ethical AI practices to overcome these barriers and ensure trustworthy applications.

🧩 Conclusion

Partnering with a reliable machine learning software company in India is no longer a trend—it's a strategic imperative. Indian firms are delivering robust, scalable, and intelligent solutions that empower businesses to unlock the full potential of their data. Whether you're aiming for automation, personalization, or predictive accuracy, India’s tech ecosystem offers the ideal environment to build your machine learning future.

[jaysnsahu]

Global Magnetic Reed Switch Market Report 2025–2031: Industry Outlook, Trends, and Forecast

"

The Global Magnetic Reed Switch Market is projected to grow steadily from 2025 through 2031. This report offers critical insights into market dynamics, regional trends, competitive strategies, and upcoming opportunities. It's designed to guide companies, investors, and industry stakeholders in making smart, strategic decisions based on data and trend analysis.

Report Highlights:

Breakthroughs in Magnetic Reed Switch product innovation

The role of synthetic sourcing in transforming production models

Emphasis on cost-reduction techniques and new product applications

Market Developments:

Advancing R&D and new product pipelines in the Magnetic Reed Switch sector

Transition toward synthetic material use across production lines

Success stories from top players adopting cost-effective manufacturing

Featured Companies:

Standex Electronics

Nippon Aleph

Comus International

RMCIP

Littelfuse

HSI Sensing

PIC

PIT-RADWAR

Xurui Electronic

Get detailed profiles of major industry players, including their growth strategies, product updates, and competitive positioning. This section helps you stay informed on key market leaders and their direction.

Download the Full Report Today  https://marketsglob.com/report/magnetic-reed-switch-market/1586/

Coverage by Segment:

Product Types Covered:

Form A

Form B

Form C

Applications Covered:

Automotive

Home Appliance

Office Automation

Industrial Control

Others

Sales Channels Covered:

Direct Channel

Distribution Channel

Regional Breakdown:

North America (United States, Canada, Mexico)

Europe (Germany, United Kingdom, France, Italy, Russia, Spain, Benelux, Poland, Austria, Portugal, Rest of Europe)

Asia-Pacific (China, Japan, Korea, India, Southeast Asia, Australia, Taiwan, Rest of Asia Pacific)

South America (Brazil, Argentina, Colombia, Chile, Peru, Venezuela, Rest of South America)

Middle East & Africa (UAE, Saudi Arabia, South Africa, Egypt, Nigeria, Rest of Middle East & Africa)

Key Insights:

Forecasts for market size, CAGR, and share through 2031

Analysis of growth potential in emerging and developed regions

Demand trends for generic vs. premium product offerings

Pricing models, company revenues, and financial outlook

Licensing deals, co-development initiatives, and strategic partnerships

This Global Magnetic Reed Switch Market report is a complete guide to understanding where the industry stands and how it's expected to evolve. Whether you're launching a new product or expanding into new regions, this report will support your planning with actionable insights.

" Extended Text Labels Market Extending Table Market Extension Ladders Market Extension Socket Market Extension Springs Market Exterior Barn Doors Market Exterior Coatings Market Exterior Comparators Market Exterior Doors Market Exterior Mirror Market Exterior Mosaic Market Exterior Paint Market

[priyanshilspl]

TYPES OF IMAGE ANNOTATION

Image annotation involves labeling images with annotations such as bounding boxes, polygons, or keypoints to provide context for machine learning models. It enables tasks like object detection, segmentation, and facial recognition. Image annotation is essential for training AI systems to accurately understand and interpret visual data