#outsource data mining

[itesservices]

Elevate your business's customer experience by leveraging data mining to gain deeper insights into customer preferences and behaviors. Through effective data analysis, you can personalize each interaction, offering tailored solutions that enhance satisfaction. Data mining enables businesses to understand customer needs on a granular level, fostering stronger relationships and encouraging loyalty. 

[uniquesdata]

Data Mining Services for Accurate Digital Marketing Strategies

Data mining is an essential approach for today’s digital marketing experts, to get hands on actionable insights and curate effective marketing strategies and make informed decisions. Here’s a detailed version of how data mining brings accuracy in digital marketing.

[dataentry-expert]

Outsource Web Data Mining Services in India

Relevant data is a never-ending need for businesses. However, the heterogeneous data collection via the right scripts and APIs is sometimes challenging and time-consuming. This is where data mining services help enterprises. Data Entry Expert is one of the top data mining service provider companies in India with practised data extraction experts to recognise the perfect sources of data. They can set up effective web crawlers and can handle large volumes of data. Plus, our data mining services help to extract relevant information from different web sources with over 99% accuracy. You can leverage our services to expedite insight analysis of your business process without investing in technology, infrastructure, or resources.

To know more - https://www.dataentryexpert.com/web-research/web-mining-services.php

[outsourcebigdata]

Outsource Data mining services

[dataplusvaluewebservices1]

Offshore Data Mining Services Maximizes the Utility of Enterprise

Data Plus Value stands out as a premier source for offshore data mining services. Employing top-tier industry processes, we excel in extracting essential insights from expansive data sets. Our expertise aids clients in informed decision-making and maximizes the utility of their enterprise data. Visit https://www.dataplusvalue.com/data-mining-services.html

[abacusdatasystems]

Abacus Data Systems - Specialized in Data Mining Services in the USA 

Unlock the power of precise data with Abacus Data Systems! Maximize your business potential through our meticulous manual data mining services. Our team of experts crafts customized, data-driven solutions tailored to elevate your success. Don't miss out on the competitive edge – contact us now and revolutionize your approach to information! 

[edatamine]

Beneficial Outcomes of Data Mining Outsourcing Services

Data mining has become one of the essential tools in the digital world. It brings valuable and actionable insights, which help in business growth and success. To get accurate and reliable results, outsourcing experts offer comprehensive solutions. Read more about how data mining outsourcing benefits various businesses.

[itesservices]

Discover the key advantages of collaborating with a healthcare data mining company. Enhance decision-making, improve patient outcomes, and streamline operational efficiency. Leverage data analytics to uncover trends, reduce costs, and maintain compliance with regulations. Partnering with experts in data mining ensures accurate insights, driving innovation and fostering a culture of continuous improvement in healthcare services. Embrace the future of healthcare with strategic data partnerships. 

[uniquesdata]

Compensation Survey & Analysis for an Effective Compensation Strategy

The market is competitive in many aspects and one of the crucial aspects for any organization is to have and retain good talent. The market is dynamic and on continuous change due to rapid transformation in technology, hence affecting businesses. Retaining good talents has become crucial as their major resource for any company. To deeply strategize retention plans, organizations can easily opt to outsource data mining services for compensation surveys and analysis reports.

Uniquesdata offers high-quality data mining services from a team of experts to ensure the quality and reliability of the project.

[suntec-data]

Email marketing is a powerful way to connect with the target audience and can be tailored to customer’s actions to create a personalized experience. However, glitches may break down your connection with potential customers due to underlying problems with the email data. This can further create issues like an uninterested target audience, bad email addresses, and erroneous IDs. The only solution to escape the problematic email data is to outsource data mining services.

[mariacallous]

AI’s energy use already represents as much as 20 percent of global data-center power demand, research published Thursday in the journal Joule shows. That demand from AI, the research states, could double by the end of this year, comprising nearly half of all total data-center electricity consumption worldwide, excluding the electricity used for bitcoin mining.

The new research is published in a commentary by Alex de Vries-Gao, the founder of Digiconomist, a research company that evaluates the environmental impact of technology. De Vries-Gao started Digiconomist in the late 2010s to explore the impact of bitcoin mining, another extremely energy-intensive activity, would have on the environment. Looking at AI, he says, has grown more urgent over the past few years because of the widespread adoption of ChatGPT and other large language models that use massive amounts of energy. According to his research, worldwide AI energy demand is now set to surpass demand from bitcoin mining by the end of this year.

“The money that bitcoin miners had to get to where they are today is peanuts compared to the money that Google and Microsoft and all these big tech companies are pouring in [to AI],” he says. “This is just escalating a lot faster, and it’s a much bigger threat.”

The development of AI is already having an impact on Big Tech’s climate goals. Tech giants have acknowledged in recent sustainability reports that AI is largely responsible for driving up their energy use. Google’s greenhouse gas emissions, for instance, have increased 48 percent since 2019, complicating the company’s goals of reaching net zero by 2030.

“As we further integrate AI into our products, reducing emissions may be challenging due to increasing energy demands from the greater intensity of AI compute,” Google’s 2024 sustainability report reads.

Last month, the International Energy Agency released a report finding that data centers made up 1.5 percent of global energy use in 2024—around 415 terrawatt-hours, a little less than the yearly energy demand of Saudi Arabia. This number is only set to get bigger: Data centers’ electricity consumption has grown four times faster than overall consumption in recent years, while the amount of investment in data centers has nearly doubled since 2022, driven largely by massive expansions to account for new AI capacity. Overall, the IEA predicted that data center electricity consumption will grow to more than 900 TWh by the end of the decade.

But there’s still a lot of unknowns about the share that AI, specifically, takes up in that current configuration of electricity use by data centers. Data centers power a variety of services—like hosting cloud services and providing online infrastructure—that aren’t necessarily linked to the energy-intensive activities of AI. Tech companies, meanwhile, largely keep the energy expenditure of their software and hardware private.

Some attempts to quantify AI’s energy consumption have started from the user side: calculating the amount of electricity that goes into a single ChatGPT search, for instance. De Vries-Gao decided to look, instead, at the supply chain, starting from the production side to get a more global picture.

The high computing demands of AI, De Vries-Gao says, creates a natural “bottleneck” in the current global supply chain around AI hardware, particularly around the Taiwan Semiconductor Manufacturing Company (TSMC), the undisputed leader in producing key hardware that can handle these needs. Companies like Nvidia outsource the production of their chips to TSMC, which also produces chips for other companies like Google and AMD. (Both TSMC and Nvidia declined to comment for this article.)

De Vries-Gao used analyst estimates, earnings call transcripts, and device details to put together an approximate estimate of TSMC’s production capacity. He then looked at publicly available electricity consumption profiles of AI hardware and estimates on utilization rates of that hardware—which can vary based on what it’s being used for—to arrive at a rough figure of just how much of global data-center demand is taken up by AI. De Vries-Gao calculates that without increased production, AI will consume up to 82 terrawatt-hours of electricity this year—roughly around the same as the annual electricity consumption of a country like Switzerland. If production capacity for AI hardware doubles this year, as analysts have projected it will, demand could increase at a similar rate, representing almost half of all data center demand by the end of the year.

Despite the amount of publicly available information used in the paper, a lot of what De Vries-Gao is doing is peering into a black box: We simply don’t know certain factors that affect AI’s energy consumption, like the utilization rates of every piece of AI hardware in the world or what machine learning activities they’re being used for, let alone how the industry might develop in the future.

Sasha Luccioni, an AI and energy researcher and the climate lead at open-source machine-learning platform Hugging Face, cautioned about leaning too hard on some of the conclusions of the new paper, given the amount of unknowns at play. Luccioni, who was not involved in this research, says that when it comes to truly calculating AI’s energy use, disclosure from tech giants is crucial.

“It’s because we don’t have the information that [researchers] have to do this,” she says. “That’s why the error bar is so huge.”

And tech companies do keep this information. In 2022, Google published a paper on machine learning and electricity use, noting that machine learning was “10%–15% of Google’s total energy use” from 2019 to 2021, and predicted that with best practices, “by 2030 total carbon emissions from training will reduce.” However, since that paper—which was released before Google Gemini’s debut in 2023—Google has not provided any more detailed information about how much electricity ML uses. (Google declined to comment for this story.)

“You really have to deep-dive into the semiconductor supply chain to be able to make any sensible statement about the energy demand of AI,” De Vries-Gao says. “If these big tech companies were just publishing the same information that Google was publishing three years ago, we would have a pretty good indicator” of AI’s energy use.

[statementlou]

Hi💗 I'm having a bit of a hard time understanding your last post. It's probably because i'm too stupid, but do you want to explain a bit more about what you mean? I'm sorry to bother you, but I really want to understand. Lots of love🌞

anon I'm happy to help but I hope you mean the openstage one? If so: OpenStage is a "fan engagement platform built especially for the music industry"; it's a service that artists can pay for and in return they data mine their fanbase to tell the artist where most of their fans are from, their general demographics, what they respond to best, etc, and they send out promo emails and host artist pages with links all in one place (like a band caard kind of thing) and various other useful services like that. It seems great for small artists who don't have management companies to do all this stuff, but also for larger acts' management to streamline and outsource the work. Like LTHQ used to do loads of this stuff themselves, and they ended up repeating efforts a lot it seemed like and having to personally organize a lot of fiddly things like details of the hotspots and stuff; until they found OpenStage. They not only outsourced that work to them, Louis also said, this is a great platform with potential to help small artists and make money, and he invested in it personally. Little start ups getting investors means they can use the money to get bigger and do more stuff, but it also means the bigger they get, the more that investor's shares are worth. So someone gives a company xxxx amount of money in return for owning part of it which if it fails is worth nothing, the money is gone, oh well, but if the gamble that they will do good and grow is right, they will make money. So if a company is worth $100 than buying 4% of it costs $4, but if it then gets so popular that it's now worth $4000 then tada that 4% is now worth $400... anyway I'm not saying OpenStage was tiny when Louis found it, it was probably already pretty big and on the way up, but now they are EVERYWHERE and the fact that 100% of the Oasis reunion traffic is being run through an OpenStage link has to be huge. So what I meant was: it may be indirect, but when OpenStage succeed Louis makes money, so Louis is profiting from this reunion through his investment.

[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."

[weekendviking]

1800 Ghosts, and counting.

So, 1800 or so ghosts live in my brain. I put them there, not on purpose, but they lodged in my mind during the course of my daily work as I found them, checked, referenced, located and georeferenced their ends. Most are pretty quiet, and really only pop up when I do something that specifically reminds me of them. But some of them are quite active, and pop into my head whenever I pass near where they died or touch on some aspect of the subject of their death.

They all died in some sort of landslide, avalanche, debris flow or rockfall, both natural or anthropogenic. Some of them I know next to nothing about. Others of them I know how they died, graphically, medically accurate details in both time, place, physics and biology. At length. Some I stood nearby as they were exhumed. I Smelt them, I stood by as they took their last journey. I looked into the faces of those who had to find, pack, lift and move them. Very occasionally I have to talk to their families. I'm not good at that.

Some of them are close relatives and ancestors of mine, but most are not. They are just people, who were doing the things that just people do.

But having them there, and knowing their story, stories, makes me a bit twitchy. There are some areas of my country, towns, cities, mountains, farmlands, forests, rivers, that I can't be in without thinking of these ghosts. Some of them are so active in my head that certain streets, certain valleys or hills, make me so uncomfortable it feels like there's someone with a rifle focussed on me, just out of sight. Because I know how dangerous the geography is, and who died there, when, and how often. Often in graphic detail.

Most of the time I'm not close in to these ghosts unless there's a major emergency response, which I am part of. Most of the work is dry, digital, old documents, GIS software, geomorphology and weather and rainfall and rock strata and pore pressure and earthquake and clay and Gravity. Gravity.

I _Enjoy_ this work. I do it for public service, because it leads into maps, risks, hazards, fatality risks, etc, making things safer for people in the future. But it leaves ghosts in my head. So I'm a bit fucked up by it.

So I now look at the people who do this day in, day out, for our soulless social media landscape. The contracted mechanical turks behind the trust and security teams, the people who classify images and videos and media behind the term 'AI' (and what an ugly term that is, because there is not yet any AI worthy of the name), as it hoses through our social media feeds straight from warzones and every other zone where something awful happens, and think how much worse this is than what I do, for better money, shorter hours, and with actual recourse to professional medical help when I need it:

Outsourcing the hard bits to where it's cheaper, to where the jurisdiction is more lenient, to where it raises less waves, is not going to help anyone in the long run. It's abdication of our own humanity made possible by corporate structure.

[itesservices]

Discover how AI technologies are revolutionizing data mining companies. From automated processes to enhanced predictive analytics, AI is driving significant changes in how data is analyzed and utilized. This transformation is not just about efficiency but also about uncovering deeper insights and fostering innovation. Dive into the comprehensive analysis on how AI is reshaping the landscape of data mining, bringing new opportunities and challenges to the forefront of this evolving field. 

[uniquesdata]

How Data Mining Can Positively Impact the Banking Sector

Leveraging data mining services for a banking sector can impact a significant amount of growth by reducing the chances of potential fraud, risk, and errors. Banks can't bear fraud losses which is why it is essential for the banking sector to strictly manage their data and make the most use while ensuring security. Therefore outsourcing data mining services helps in analyzing via extracting relevant information that can be useful for banks to prosper in the industry. Consider the following blog to gain insightful knowledge on how data mining can impact the banking sector positively.