#Data Research

[thedigitalvalkerie]

Who is your favourite?

I'm doing a persuasive speech for class so I require data on this. Tell me what your favourite (Main) Sonic character is. Feel free to include in the tags why they're your favourite.

No "None of these/Show results/vanilla extract" options, that choice isn't helpful for my data XD

Please and thank you!

[uniquesdata]

Web Research and Image Processing Services

Business in the modern landscape demands for information that can help to drive success based on data driven insights. With proper and efficient data, web research services from multiple sources, enterprises make informed decision making which helps to remain competitive in the market. Similarly, visual representation also creates a huge impact on the business outlook which is evident to enhance the quality of images with help of image processing services.

With a blend of talent and technology, Uniquesdata caters to web research and image process services with accuracy and efficiency.

[jonathanblogs2024]

AI-Driven Insights: Enhancing Research Efficiency Through Real-Time Data Analysis

AI-Driven Insights: Enhancing Research Efficiency Through Real-Time Data Analysis

In a time when information is being generated at an alarming speed, the ability analyze data in real-time is crucial for researchers working in diverse areas. Data analysis in real-time provides immediate insight and faster decision making and fundamentally changing research methods. Artificial Intelligence (AI) tools are now proving to be crucial in improving this process, increasing the efficiency of research and its effectiveness. Photon Insights stands out as the leader in this area offering innovative AI solutions that enable researchers to tap into the full potential of live data analysis.

The Importance of Real-Time Data Analysis

Real-time data analysis is the ability to gather data, process, and analyze data when the data becomes accessible. This is essential due to a variety of reasons:

1. Instant Insights Researchers are able to make informed decisions based upon the most recent information, thus reducing the gap between the collection of data and the analysis.

2. Enhanced Response: In areas such as finance, healthcare or marketing, the capacity to respond quickly to new developments or problems is essential. In real-time, data lets researchers adapt their strategies rapidly.

3. Improved collaboration Real-time information facilitates more effective communication between the team and its stakeholders and ensures that everyone is in sync and is able to take action based upon the same information at the same time.

4. Data-Driven Decisions: Through using real-time analytics, companies can make their decisions based on reliable data instead of intuition, resulting in more reliable results.

Challenges of Traditional Data Analysis

Despite the benefits of real-time analytics, many companies continue to rely on old-fashioned methods that are unreliable and slow. Some of the biggest challenges are:

1. “Data overload”: Researchers typically confront huge volumes of data that come from various sources, making it challenging to find pertinent insights quickly.

2. Manual Processes Traditional analysis usually requires the collection of data manually and its processing, which could cause inefficiencies and increases the chance of human errors.

3. “Fragmented Systems: Many companies utilize different systems to collect data and analysis, resulting in problems with efficiency and inconsistent results obtained.

4. “Lagging indicators”: Traditional methods typically use historical data that may not accurately represent the current developments or outcomes in the future which can limit the ability to take a proactive approach.

The Role of AI in Real-Time Data Analysis

AI technologies are revolutionizing the process of real-time data analysis through automation of processes, improving accuracy and providing deeper insights. Here are some of the major advantages of using AI in this regard:

1. Automatization of Data Processing: AI tools are able to automate the gathering as well as the cleaning and analysis of the data drastically cutting down on the time needed to analyze. Researchers can concentrate on the interpretation of results instead of becoming absorbed in manual work.

2. Advanced Analytics AI algorithmic analysis can analyse massive datasets in a short time, identifying the patterns or trends which are difficult for human eyes to recognize. This enables deeper insights and greater understanding of the data.

3. Predictive analytics: AI can forecast future outcomes based on live data that allows researchers to anticipate changes and react to changes in a timely manner. This ability to predict outcomes is especially important in areas that are dynamic like finance and healthcare.

4. Scalability: AI tools can easily adapt to the growing amount of data and ensure that researchers are able to keep up with the growing quantity of data produced within their fields of expertise.

5. Data Integration: AI helps to integrate data from different sources, resulting in a complete perspective that increases an analysis’s depth. This approach is holistic and allows researchers to draw deeper conclusions.

Photon Insights: Leading the Way in AI-Driven Data Analysis

Photon Insights is at the top of AI-powered real-time analysis, offering researchers the tools needed to improve their workflows and improve efficiency. This is how Photon Insights is different:

Key Features of Photon Insights

1. Seamless Data Integration: Photon Insights integrates data from various sources, including scientific publications, social media or enterprise systems — into one platform. This integration lets researchers examine all relevant data on one platform.

2. “User-Friendly” Interface The intuitive interface of the platform is accessible to users with varying levels of technical knowledge. Researchers are able to navigate the platform and gain information without requiring a lot of instruction.

3. “Real-Time Analytics Dashboard Photon Insights offers a comprehensive dashboard that provides live data visualizations and analytics. Researchers can view the most important trends and metrics in a single glance, which facilitates faster decision-making.

4. “Customizable” Reporting: Users are able to produce reports that are customizable using real-time analysis of data, which ensures that users receive the most relevant information to their requirements.

5. “Collaborative features”: The Photon Insights promotes collaboration by permitting multiple users to access and review data simultaneously. This facilitates collaboration and makes sure that everyone is on the same page in their research activities.

Real-World Applications of AI in Research

The use of AI-driven real-time data analysis via platforms such as Photon Insights is transforming various research fields. Here are some examples:

1. Healthcare Clinical research real-time data analysis permits immediate monitoring of the outcomes of patients and treatment outcomes. AI tools can detect trends in the patient’s data, which allows faster adjustments to treatment protocols.

2. Market Research: Companies use real-time analytics to monitor consumer preferences, behavior along with market trend. This data informs products and marketing strategies and allows companies to react rapidly to changes in the market.

3. “Financial Service”: Institutions that utilize real-time data analysis in order to monitor market conditions, determine risks, and make informed investment decision. AI algorithms can analyse the performance of stocks and forecast market fluctuations, allowing traders make the most of opportunities.

4. Supply Chain Management Real-time data analysis improves the efficiency of supply chains by tracking the level of inventory, fluctuations in demand as well as the delivery time. Companies can improve their processes and cut expenses by reacting quickly to any changes.

The Future of Real-Time Data Analysis

While AI technology continue to develop and improve, the future of real-time data analysis is likely to be more transformative. A variety of trends are emerging:

1. Increased adoption of AI Tools More companies are beginning to recognize the importance of AI for real-time data analysis, which is leading to the widespread adoption of AI-driven tools like Photon Insights.

2. Improved Predictive Capabilities As AI algorithms advance their predictive capabilities, they’ll be more precise and allow researchers to predict patterns and outcomes with greater accuracy.

3. Focus in Ethical AI As the use of AI expands the need for ethical AI will place more emphasis placed on ethical issues, such as data privacy, algorithmic transparency and bias reduction. Companies will have to adopt ethical AI practices to keep the trust of their customers.

4. Interdisciplinary Collaboration The integration with AI to analyze data in real time will promote collaboration between researchers across different disciplines. This approach to interdisciplinary research will spur innovations and will lead to breakthroughs in a variety of fields.

Conclusion

Research is being revolutionized by real-time analytics of data. methods and allowing researchers to gain immediate insights and make educated decisions. AI tools play an important part in enhancing this procedure, by automating data collection and analysis and improving the overall effectiveness of research. Photon Insights is at the leading edge of this revolution offering powerful AI-driven solutions that help researchers deal with the complexity of information in real time.

As the landscape of research is constantly evolving, adopting an AI driven real-time analysis of data will become essential for companies looking to stay competitive and innovating. Through the use of platforms such as Photon Insights, researchers can attain new levels of collaboration, efficiency, and understanding, ultimately driving forward and improving in various disciplines. Future research possibilities are upon us and AI is leading the way.

[s3znl-gr3znl]

After a long period of reviewing hundreds of thousands of customer feedback data points, the results are overwhelmingly clear. That's why we here at BisCo are excited to announce that we're gonna ignore all that and make our service/product worse in nearly unimaginable ways! That's right, you little whiny pissbaby consumers! We dont give a shit about making our service/product even a little better or usable. In fact, we hate you, yes YOU, personally.

[fusiondigitech]

Data Research Company in Ahmedabad

Fusion Digitech stands out as the premier data research company in Ahmedabad, distinguished by its unparalleled expertise and commitment to excellence. Founded with a vision to redefine the landscape of data analytics, Fusion Digitech specializes in delivering cutting-edge solutions tailored to meet the unique needs of its clients. Our team of seasoned professionals combines deep industry knowledge with advanced analytical tools to transform raw data into actionable insights that drive strategic decision-making.

At Fusion Digitech, we understand that data is the new gold, and we harness its power to provide businesses with a competitive edge. Our comprehensive suite of services includes market research, data mining, predictive analytics, and business intelligence. We employ sophisticated methodologies and state-of-the-art technology to ensure the accuracy and relevance of our findings, enabling our clients to navigate complex market dynamics with confidence.

What sets us apart is our dedication to client satisfaction. We collaborate closely with each client to understand their specific objectives and challenges, ensuring that our solutions are not only precise but also strategically aligned with their goals. Our commitment to quality and innovation has earned us a reputation as a trusted partner for companies looking to leverage data for growth and success.

Whether you are a startup seeking market insights or an established enterprise looking to optimize your data strategy, Fusion Digitech offers the expertise and resources to turn your data into a powerful asset. Discover the difference of working with Ahmedabad's leading data research company and unlock new opportunities for your business today.

[fibre2fashion]

The Intelligent Textile: A Journey with Market Intelligence Tools

In an era defined by rapid technological advancements, the textile and apparel industry is embracing a revolutionary transformation through the integration of market intelligence tools. At the forefront of this evolution stands TexPro, a cutting-edge market intelligence tool designed to revolutionize the way businesses navigate the intricate landscape of textiles, apparel, footwear, leather, fashion accessories, and home textiles.

Unveiling TexPro: A One-Stop Solution

TexPro emerges as the ultimate one-stop solution, providing a wealth of information and data essential for various facets of business operations. It seamlessly integrates sourcing and procurement intelligence, supply chain trend analysis, logistics planning, competitor and potential customer analysis, and business development planning — all consolidated under one roof.

Key Features of TexPro:

Dynamic Analysis with Business Intelligence Tools:

TexPro employs inbuilt business intelligence tools that render the dynamic analysis of data through tables and various chart types.

The online business intelligence dashboard, with its central market research database, facilitates flexible operations on various systems globally.

Explore more:-

[itesservices]

Fuel Business Decisions and Processes With Data-driven Insights

Data research companies like Damco have the right resources to gather in-depth insights and valuable information at scale. The knowledge retrieved from data research functions helps businesses to understand their competition, consumer, and market better and make informed decisions. 

[reasonsforhope]

People ask me sometimes how I'm so confident that we can beat climate change.

There are a lot of reasons, but here's a major one: it would take a really, really long time for Earth to genuinely become uninhabitable for humans.

Humans have, throughout history, carved out a living for themselves in some of the most harsh, uninhabitable corners of the world. The Arctic Circle. The Sahara. The peaks of the Himalayas. The densest, most tropical regions of the Amazon Rainforest. The Australian Outback. etc. etc.

Frankly, if there had been a land bridge to Antarctica, I'm pretty sure we would have been living there for thousands of years, too. And in fact, there are humans living in Antarctica now, albeit not permanently.

And now, we're not even facing down apocalypse, anymore. Here's a 2022 quote from the author of The Uninhabitable Earth, David Wallace-Wells, a leader on climate change and the furthest thing from a climate optimist:

"The most terrifying predictions [have been] made improbable by decarbonization and the most hopeful ones practically foreclosed by tragic delay. The window of possible climate futures is narrowing, and as a result, we are getting a clearer sense of what’s to come: a new world, full of disruption but also billions of people, well past climate normal and yet mercifully short of true climate apocalypse. Over the last several months, I’ve had dozens of conversations — with climate scientists and economists and policymakers, advocates and activists and novelists and philosophers — about that new world and the ways we might conceptualize it. Perhaps the most capacious and galvanizing account is one I heard from Kate Marvel of NASA, a lead chapter author on the fifth National Climate Assessment: “The world will be what we make it.”" -David Wallace-Wells for the New York Times, October 26, 2022

If we can adapt to some of the harshest climates on the planet - if we could adapt to them thousands of years ago, without any hint of modern technology - then I have every faith that we can adjust to the world that is coming.

What matters now is how fast we can change, because there is a wide, wide gap between "climate apocalypse" and "no harm done." We've already passed no harm done; the climate disasters are here, and they've been here. People have died from climate disasters already, especially in the Global South, and that will keep happening.

But as long as we stay alive - as long as we keep each other alive - we will have centuries to fix the effects of climate change, as much as we possibly can.

And looking at how far we've come in the past two decades alone - in the past five years alone - I genuinely think it is inevitable that we will overcome climate change.

So, we're going to survive climate change, as a species.

What matters now is making sure that every possible individual human survives climate change as well.

What matters now is cutting emissions and reinventing the world as quickly as we possibly can.

What matters now is saving every life and livelihood and way of life that we possibly can.

[digitalmarketingcompanylacleo]

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[aroaceleovaldez]

i am always eternally amused by the idea that the Mist hiding baby Jason being a human child in Lupa's pack to mortals just. made him look like a wolf pup. so as far as mortals are/the state of California is concerned Jason is legally a wolf.

[romanticize-until-you-drop]

2024-03-28

Coding, cat café, sunset, and a long weekend.

Can’t get any better than that, I think.

[mostlysignssomeportents]

Palantir’s NHS-stealing Big Lie

I'm on tour with my new, nationally bestselling novel The Bezzle! Catch me in TUCSON (Mar 9-10), then SAN FRANCISCO (Mar 13), Anaheim, and more!

Capitalism's Big Lie in four words: "There is no alternative." Looters use this lie for cover, insisting that they're hard-nosed grownups living in the reality of human nature, incentives, and facts (which don't care about your feelings).

The point of "there is no alternative" is to extinguish the innovative imagination. "There is no alternative" is really "stop trying to think of alternatives, dammit." But there are always alternatives, and the only reason to demand that they be excluded from consideration is that these alternatives are manifestly superior to the looter's supposed inevitability.

Right now, there's an attempt underway to loot the NHS, the UK's single most beloved institution. The NHS has been under sustained assault for decades – budget cuts, overt and stealth privatisation, etc. But one of its crown jewels has been stubbournly resistant to being auctioned off: patient data. Not that HMG hasn't repeatedly tried to flog patient data – it's just that the public won't stand for it:

https://www.theguardian.com/society/2023/nov/21/nhs-data-platform-may-be-undermined-by-lack-of-public-trust-warn-campaigners

Patients – quite reasonably – do not trust the private sector to handle their sensitive medical records.

Now, this presents a real conundrum, because NHS patient data, taken as a whole, holds untold medical insights. The UK is a large and diverse country and those records in aggregate can help researchers understand the efficacy of various medicines and other interventions. Leaving that data inert and unanalysed will cost lives: in the UK, and all over the world.

For years, the stock answer to "how do we do science on NHS records without violating patient privacy?" has been "just anonymise the data." The claim is that if you replace patient names with random numbers, you can release the data to research partners without compromising patient privacy, because no one will be able to turn those numbers back into names.

It would be great if this were true, but it isn't. In theory and in practice, it is surprisingly easy to "re-identify" individuals in anonymous data-sets. To take an obvious example: we know which two dates former PM Tony Blair was given a specific treatment for a cardiac emergency, because this happened while he was in office. We also know Blair's date of birth. Check any trove of NHS data that records a person who matches those three facts and you've found Tony Blair – and all the private data contained alongside those public facts is now in the public domain, forever.

Not everyone has Tony Blair's reidentification hooks, but everyone has data in some kind of database, and those databases are continually being breached, leaked or intentionally released. A breach from a taxi service like Addison-Lee or Uber, or from Transport for London, will reveal the journeys that immediately preceded each prescription at each clinic or hospital in an "anonymous" NHS dataset, which can then be cross-referenced to databases of home addresses and workplaces. In an eyeblink, millions of Britons' records of receiving treatment for STIs or cancer can be connected with named individuals – again, forever.

Re-identification attacks are now considered inevitable; security researchers have made a sport out of seeing how little additional information they need to re-identify individuals in anonymised data-sets. A surprising number of people in any large data-set can be re-identified based on a single characteristic in the data-set.

Given all this, anonymous NHS data releases should have been ruled out years ago. Instead, NHS records are to be handed over to the US military surveillance company Palantir, a notorious human-rights abuser and supplier to the world's most disgusting authoritarian regimes. Palantir – founded by the far-right Trump bagman Peter Thiel – takes its name from the evil wizard Sauron's all-seeing orb in Lord of the Rings ("Sauron, are we the baddies?"):

https://pluralistic.net/2022/10/01/the-palantir-will-see-you-now/#public-private-partnership

The argument for turning over Britons' most sensitive personal data to an offshore war-crimes company is "there is no alternative." The UK needs the medical insights in those NHS records, and this is the only way to get at them.

As with every instance of "there is no alternative," this turns out to be a lie. What's more, the alternative is vastly superior to this chumocratic sell-out, was Made in Britain, and is the envy of medical researchers the world 'round. That alternative is "trusted research environments." In a new article for the Good Law Project, I describe these nigh-miraculous tools for privacy-preserving, best-of-breed medical research:

https://goodlawproject.org/cory-doctorow-health-data-it-isnt-just-palantir-or-bust/

At the outset of the covid pandemic Oxford's Ben Goldacre and his colleagues set out to perform realtime analysis of the data flooding into NHS trusts up and down the country, in order to learn more about this new disease. To do so, they created Opensafely, an open-source database that was tied into each NHS trust's own patient record systems:

https://timharford.com/2022/07/how-to-save-more-lives-and-avoid-a-privacy-apocalypse/

Opensafely has its own database query language, built on SQL, but tailored to medical research. Researchers write programs in this language to extract aggregate data from each NHS trust's servers, posing medical questions of the data without ever directly touching it. These programs are published in advance on a git server, and are preflighted on synthetic NHS data on a test server. Once the program is approved, it is sent to the main Opensafely server, which then farms out parts of the query to each NHS trust, packages up the results, and publishes them to a public repository.

This is better than "the best of both worlds." This public scientific process, with peer review and disclosure built in, allows for frequent, complex analysis of NHS data without giving a single third party access to a a single patient record, ever. Opensafely was wildly successful: in just months, Opensafely collaborators published sixty blockbuster papers in Nature – science that shaped the world's response to the pandemic.

Opensafely was so successful that the Secretary of State for Health and Social Care commissioned a review of the programme with an eye to expanding it to serve as the nation's default way of conducting research on medical data:

https://www.gov.uk/government/publications/better-broader-safer-using-health-data-for-research-and-analysis/better-broader-safer-using-health-data-for-research-and-analysis

This approach is cheaper, safer, and more effective than handing hundreds of millions of pounds to Palantir and hoping they will manage the impossible: anonymising data well enough that it is never re-identified. Trusted Research Environments have been endorsed by national associations of doctors and researchers as the superior alternative to giving the NHS's data to Peter Thiel or any other sharp operator seeking a public contract.

As a lifelong privacy campaigner, I find this approach nothing short of inspiring. I would love for there to be a way for publishers and researchers to glean privacy-preserving insights from public library checkouts (such a system would prove an important counter to Amazon's proprietary god's-eye view of reading habits); or BBC podcasts or streaming video viewership.

You see, there is an alternative. We don't have to choose between science and privacy, or the public interest and private gain. There's always an alternative – if there wasn't, the other side wouldn't have to continuously repeat the lie that no alternative is possible.

Name your price for 18 of my DRM-free ebooks and support the Electronic Frontier Foundation with the Humble Cory Doctorow Bundle.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/03/08/the-fire-of-orodruin/#are-we-the-baddies

Image: Gage Skidmore (modified) https://commons.m.wikimedia.org/wiki/File:Peter_Thiel_(51876933345).jpg

CC BY-SA 2.0 https://creativecommons.org/licenses/by-sa/2.0/deed.en

[justonebigbee]

Assigned Gay by Targeted Advertisements

Rated T | 10,979 words | Buck/Eddie | Loosely 5+1 style | Real world issues of data privacy and surveillance, justified technophobe Eddie Diaz

At first, Eddie thinks nothing of it. He lives in LA: there are plenty of ads specifically for queer people all over the place, so it’s not like he’s never seen a billboard with a rainbow on it. Then Buck starts talking about data privacy and the ads just keep coming, so Eddie starts to wonder if the advertising companies know something about him that he doesn’t.

[Read on AO3]