#Big Data Security and Privacy
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Big Data Security Market to be Worth $60.1 Billion by 2031
Meticulous Research®—a leading global market research company, published a research report titled, ‘Big Data Security Market by Component (Solutions [Data Encryption, Security Intelligence, Data Backup & Recovery], Services), Deployment Mode, Organization Size, End User (IT & Telecom, BFSI, Retail & E-commerce), and Geography - Global Forecast to 2031.’
According to this latest publication from Meticulous Research®, the big data security market is projected to reach $60.1 billion by 2031, at a CAGR of 13.2% from 2024 to 2031. The growth of the big data security market is driven by the emergence of disruptive digital technologies, the increasing demand for data security and privacy solutions due to the rise in data breaches, and the growing data generation in the e-commerce industry. However, the high implementation costs of big data security solutions restrain the growth of this market.
Furthermore, the growing need for cloud-based security solutions and the increasing integration of AI, ML, and blockchain technologies in security solutions are expected to generate growth opportunities for the stakeholders in this market. However, the lack of knowledge about big data security solutions and the shortage of skilled IT professionals are major challenges impacting the growth of the big data security market.
The big data security market is segmented by component (solutions [data discovery and classification, data encryption {data protection, tokenization, data masking, other data encryption solutions}, security intelligence, data access control & authentication, data governance & compliance, data backup & recovery, data auditing & monitoring, other solutions], services [professional services, managed services]), deployment mode (on-premise deployments, cloud-based deployments), organization size (large enterprises, small & medium-sized enterprises), end user (IT & telecom, healthcare & pharmaceutical, BFSI, retail & e-commerce, energy & utilities, government, manufacturing, media & entertainment, transportation & logistics, and other end users). The study also evaluates industry competitors and analyzes the market at the regional and country levels.
Based on component, the big data security market is segmented into solutions and services. The solutions segment is further segmented into data discovery and classification, data encryption, security intelligence, data access control & authentication, data governance & compliance, data backup & recovery, data auditing & monitoring, and other solutions. In 2024, the solutions segment is expected to account for the larger share of the big data security market. The large market share of this segment is attributed to the increasing concerns regarding data security and privacy, the increasing adoption of data security solutions by SMEs, and the rising demand for encryption solutions for data protection across IoT devices. Big data security solutions include tools and measures to process or safeguard data and analytics processes. In March 2024, CrowdStrike, Inc. (U.S.) partnered with Rubrik, Inc. (U.S.) to transform data security solutions and stop breaches of critical information. Moreover, this segment is also projected to register the highest CAGR during the forecast period.
Based on deployment mode, the big data security market is segmented into on-premise deployments and cloud-based deployments. In 2024, the on-premise deployments segment is expected to account for the larger share of the big data security market. The large market share of this segment is attributed to the higher preference for on-premise deployments among large enterprises and increasing data generation in large enterprises. The on-premise model of deployment is majorly adopted by well-established and large companies that are capable of making capital investments toward the required hardware and hosting environments. In addition, these organizations also have sufficient in-house IT expertise to maintain software efficiency. Internal big data security is one of the major benefits of on-premise deployments.
However, the cloud-based deployments segment is projected to register the higher CAGR during the forecast period. The growth of this segment is driven by the rapid evolution of new security avenues for cloud-based deployments, the superior flexibility offered by cloud-based deployments, and the increase in security breaches. Cloud-based security solutions provide social networking privacy, system optimization, online storage, regulatory compliance, and connected device security. The adoption of cloud computing and storage systems is gaining popularity among small and medium-scale enterprises, supporting the growth of this segment.
Based on organization size, the big data security market is segmented into large enterprises and small & medium-sized enterprises. In 2024, the large enterprises segment is expected to account for the larger share of the big data security market. The large market share of this segment is attributed to the strong IT infrastructure of large enterprises, the growing adoption of advanced technologies such as AI, IoT, and blockchain, and the availability of skilled IT personnel to manage data security platforms. With larger budgets and a keen focus on developing strategic IT initiatives, large enterprises have a competitive advantage over small and medium-scale enterprises in terms of technology adoption. Large enterprises have a stable financial backup and can easily procure customized data security solutions, contributing to this segment's growth.
However, the small & medium-sized enterprises segment is projected to register the higher CAGR during the forecast period. The growth of this segment is driven by increasing digital transformation, government initiatives to promote security solutions, and the rising incidence of data breaches. SMEs are also increasingly becoming targets of cybercrime and therefore adopting suitable and strong security solutions.
Based on end user, the big data security market is segmented into IT & telecom, healthcare & pharmaceutical, BFSI, retail & e-commerce, energy & utilities, government, manufacturing, media & entertainment, transportation & logistics, and other end users. In 2024, the IT & telecom segment is expected to account for the largest share of the big data security market. The large market share of this segment is attributed to the increasing data breaches in IT companies as they store a vast amount of customer data, strict regulatory compliance forcing companies to implement stricter data security measures, and the increasing adoption of cloud-based solutions in the IT industry. In March 2023, IBM Corporation (U.S.) collaborated with Cohesity, Inc. (U.S.) to address increased data security and resiliency issues in hybrid cloud environments. With this collaboration, IBM launched its new IBM Storage Defender solution, including Cohesity's data protection, cyber resilience, and data management capabilities in the offering.
However, the healthcare & pharmaceutical segment is projected to register the highest CAGR during the forecast period. The growth of this segment is driven by the rising adoption of telemedicine devices and remote healthcare services, growing cyberattacks on connected devices, and the increasing demand for secure medical connected devices. A vast amount of medical data is generated in the healthcare sector. It is stored to improve patient outcomes, personalize treatment plans, and develop new drugs, among other applications. However, this sensitive data requires robust security measures to protect patient privacy and prevent unauthorized access. In November 2021, Armis, Inc. (U.S.) partnered with Nuvolo (U.S.) to improve data interoperability and the overall risk posture of healthcare organizations.
Based on geography, the big data security market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2024, North America is expected to account for the largest share of the big data security market. The market growth in North America is driven by the presence of prominent players offering advanced big data security solutions & services, the early adoption of disruptive technologies, and growing awareness regarding data security. North America is home to several major players that provide products and services to improve big data security measures for IT assets, data, and privacy across different domains. Thus, big data security companies operating in the North America region are investing heavily in R&D activities to develop new & advanced security solutions that can address rising security challenges. In February 2024, Cyberhaven, Inc. (U.S.) launched Linea AI, an AI platform designed to combat the critical insider risks threatening vital corporate data.
However, the Asia-Pacific region is projected to record the highest CAGR during the forecast period. The growth of this market is driven by the growing data breaches, supportive government initiatives, and growing awareness regarding data security among small and medium-scale organizations. In December 2023, Safetica a.s. (U.S.) partnered with Kaira Global (Singapore) to deliver Safetica's Data Loss Prevention (DLP) solutions for enterprises of all sizes to safeguard their data against insider risks and data breaches in Singapore. APAC is the fastest-growing big data security market due to rapid investments in IT infrastructure, extensive use of the Internet, and growing security challenges.
Key Players
The key players operating in the big data security market are Check Point Software Technologies, Ltd. (Israel), Cisco Systems, Inc. (U.S.), Fortinet, Inc. (U.S.), Oracle Corporation (U.S.), IBM Corporation (U.S.), Microsoft Corporation (U.S.), Hewlett Packard Enterprise Development LP (U.S.), Intel Corporation (U.S.), Palo Alto Networks, Inc. (U.S.), Thales Group (France), Juniper Networks, Inc. (U.S.), Broadcom, Inc. (U.S.), Dell Technologies, Inc. (U.S.), CyberArk Software Ltd. (U.S.), and Rapid7, Inc. (U.S.).
Download Sample Report Here @ https://www.meticulousresearch.com/download-sample-report/cp_id=4984
Key Questions Answered in the Report:
What are the high-growth market segments in terms of the component, deployment mode, organization size, and end user?
What is the historical market size for the global big data security market?
What are the market forecasts and estimates for 2024–2031?
What are the major drivers, restraints, opportunities, challenges, and trends in the global big data security market?
Who are the major players in the global big data security market, and what are their market shares?
What is the competitive landscape like?
What are the recent developments in the global big data security market?
What are the different strategies adopted by major market players?
What are the trends and high-growth countries?
Who are the local emerging players in the global big data security market, and how do they compete with the other players?
Contact Us: Meticulous Research® [email protected] Contact Sales- +1-646-781-8004 Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-research
#Big Data Security Market#Big Data Security Management#Big Data Security and Privacy#Big Data Security Technologies#Big Data Security Solutions#Big Data Security Platform
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Matt Davies
* * * *
LETTERS FROM AN AMERICAN
April 11, 2025
Heather Cox Richardson
Apr 12, 2025
On April 4, Trump fired head of U.S. Cyber Command (CYBERCOM) and director of the National Security Agency (NSA) General Timothy Haugh, apparently on the recommendation of right-wing conspiracy theorist Laura Loomer, who is pitching her new opposition research firm to “vet” candidates for jobs in Trump’s administration.
Former secretary of the Air Force Frank Kendall wrote in Newsweek yesterday that the position Haugh held is “one of the most sensitive and powerful jobs in America.” Kendall writes that NSA and CYBERCOM oversee the world’s most sophisticated tools and techniques to penetrate computer systems, monitor communications around the globe, and, if national security requires it, attack those systems. U.S. law drastically curtails how those tools can be used in the U.S. and against American citizens and businesses. Will a Trump loyalist follow those laws? Kendall writes: “Every American should view this development with alarm.”
Just after 2:00 a.m. eastern time this morning, the Senate confirmed Retired Air Force Lieutenant General John Dan Caine, who goes by the nickname “Razin,” for chairman of the Joint Chiefs of Staff by a vote of 60–25. U.S. law requires the chairman of the Joint Chiefs of Staff to have served as the vice chairman of the Joint Chiefs of Staff, the chief of staff of the Army, the chief of naval operations, the chief of staff of the Air Force, the commandant of the Marine Corps, or the commander of a unified or specified combatant command.
Although Caine has 34 years of military experience, he did not serve in any of the required positions. The law provides that the president can waive the requirement if “the President determines such action is necessary in the national interest,” and he has apparently done so for Caine. The politicization of the U.S. military by filling it with Trump loyalists is now, as Kendall writes, “indisputable.”
The politicization of data is also indisputable. Billionaire Elon Musk’s “Department of Government Efficiency” (DOGE) claims to be saving Americans money, but the Wall Street Journal reported today that effort has been largely a failure (despite today’s announcement of devastating cuts to the National Oceanic and Atmospheric Administration that monitors our weather). But what DOGE is really doing is burrowing into Americans’ data.
The first people to be targeted by that data collection appear to be undocumented immigrants. Jason Koebler of 404 Media reported on Wednesday that Immigration and Customs Enforcement (ICE) has been using a database that enables officials to search for people by filtering for “hundreds of different, highly specific categories,” including scars or tattoos, bankruptcy filings, Social Security number, hair color, and race. The system, called Investigative Case Management (ICM), was created by billionaire Peter Thiel’s software company Palantir, which in 2022 signed a $95.9 million contract with the government to develop ICM.
Three Trump officials told Sophia Cai of Politico that DOGE staffers embedded in agencies across the government are expanding government cooperation with immigration officials, using the information they’re gleaning from government databases to facilitate deportation. On Tuesday, DOGE software engineer Aram Moghaddassi sent the first 6,300 names of individuals whose temporary legal status had just been canceled. On the list, which Moghaddassi said covered those on “the terror watch list” or with “F.B.I. criminal records,” were eight minors, including one 13-year-old.
The Social Security Administration worked with the administration to get those people to “self-deport” by adding them to the agency's “death master file.” That file is supposed to track people whose death means they should no longer receive benefits. Adding to it people the administration wants to erase is “financial murder,” former SSA commissioner Martin O’Malley told Alexandra Berzon, Hamed Aleaziz, Nicholas Nehamas, Ryan Mac, and Tara Siegel Bernard of the New York Times. Those people will not be able to use credit cards or banks.
On Tuesday, Acting Internal Revenue Service (IRS) Commissioner Melanie Krause resigned after the IRS and the Department of Homeland Security agreed to share sensitive taxpayer data with immigration authorities. Undocumented immigrants pay billions in taxes, in part to demonstrate their commitment to citizenship, and the government has promised immigrants that it would not use that information for immigration enforcement. Until now, the IRS has protected sensitive taxpayer information.
Rene Marsh and Marshall Cohen of CNN note that “[m]ultiple senior career IRS officials refused to sign the data-sharing agreement with DHS,” which will enable HHS officials to ask the IRS for names and addresses of people they suspect are undocumented, “because of grave concerns about its legality.” Ultimately, Treasury Secretary Scott Bessent signed the agreement with Secretary of Homeland Security Kristi Noem.
Krause was only one of several senior career officials leaving the IRS, raising concerns among those staying that there is no longer a “defense against the potential unlawful use of taxpayer data by the Trump administration.”
Makena Kelly of Wired reported today that for the past three days, DOGE staffers have been working with representatives from Palantir and career engineers from the IRS in a giant “hackathon.” Their goal is to build a system that will be able to access all IRS records, including names, addresses, job data, and Social Security numbers, that can then be compared with data from other agencies.
But the administration’s attempt to automate deportation is riddled with errors. Last night the government sent threatening emails to U.S. citizens, green card holders, and even a Canadian (in Canada) terminating “your parole” and giving them seven days to leave the U.S. One Massachusetts-born immigration lawyer asked on social media: “Does anyone know if you can get Italian citizenship through great-grandparents?”
The government is not keen to correct its errors. On March 15 the government rendered to prison in El Salvador a legal U.S. resident, Kilmar Armando Abrego Garcia, whom the courts had ordered the U.S. not to send to El Salvador, where his life was in danger. The government has admitted that its arrest and rendition of Abrego Garcia happened because of “administrative error” but now claims—without evidence—that he is a member of the MS-13 gang and that his return to the U.S. would threaten the public. Abrego Garcia says he is not a gang member and notes that he has never been charged with a crime.
On April 4, U.S. District Court Judge Paula Xinis ordered the government to return Abrego Garcia to the U.S. no later than 11:59 pm on April 7. The administration appealed to the Supreme Court, which handed down a 9–0 decision yesterday, saying the government must “facilitate” Abrego Garcia’s release, but asked the district court to clarify what it meant by “effectuate,” noting that it must give “due regard for the deference owed to the Executive Branch in the conduct of foreign affairs.”
The Supreme Court also ordered that “the Government should be prepared to share what it can concerning the steps it has taken and the prospect of further steps.”
Legal analyst Joyce White Vance explained what happened next. Judge Xinis ordered the government to file an update by 9:30 a.m. today explaining where Abrego Garcia is, what the government is doing to get him back, and what more it will do. She planned an in-person hearing at 1:00 p.m.
The administration made clear it did not intend to comply. It answered that the judge had not given them enough time to answer and suggested that it would delay over the Supreme Court’s instruction that Xinis must show deference to the president’s ability to conduct foreign affairs. Xinis gave the government until 11:30 and said she would still hold the hearing. The government submitted its filing at about 12:15, saying that Abrego Garcia is “in the custody of a foreign sovereign,” but at the 1:00 hearing, as Anna Bower of Lawfare reported, the lawyer representing the government, Drew Ensign, said he did not have information about where Abrego Garcia is and that the government had done nothing to get him back. Ensign said he might have answers by next Tuesday. Xinis says they will have to give an update tomorrow.
As Supreme Court Justice Sonia Sotomayor recently warned, if the administration can take noncitizens off the streets, render them to prison in another country, and then claim it is helpless to correct the error because the person is out of reach of U.S. jurisdiction, it could do the same thing to citizens. Indeed, both President Trump and White House press secretary Karoline Leavitt have proposed that very thing.
Tonight, Trump signed a memorandum to the secretaries of defense, interior, agriculture, and homeland security calling for a “Military Mission for Sealing the Southern Border of the United States and Repelling Invasions.” The memorandum creates a military buffer zone along the border so that any migrant crossing would be trespassing on a U.S. military base. This would allow active-duty soldiers to hold migrants until ICE agents take them.
By April 20, the secretaries of defense and homeland security are supposed to report to the president whether they think he should invoke the 1807 Insurrection Act to enable him to use the military to aid in mass deportations.
LETTERS FROM AN AMERICAN
HEATHER COX RICHARDSON
#political cartoons#Matt Davies#The Big Chill#Heather Cox Richardson#Letters from An American#personal data#the right to privacy#identity theft#mistaken identity#SCOTUS#secretary of defense#homeland security#incompetence#data mining#data weaponization
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How to install NewPipe on Android
NewPipe is a YouTube replacement client for Android devices. It's open-source (meaning, you can see all of their code as you please), privacy-oriented, lightweight, and supports features that are normally locked behind a YouTube Premium paywall.
Disclaimer: I am not affiliated with NewPipe, YouTube, Android, Google, Alphabet Inc, or any other brand or name mentioned here. I made this guide to help my friends who were curious.
NewPipe's Website: https://newpipe.net/
The GitHub Repository
Step 0. Compatibility check
Make sure you're running an Android device! This won't work on an Apple device of any kind! Also, for those more tech-savvy among you, if you have the F-Droid store installed, you can download NewPipe straight from there!
Step 1. Downloading
Go to NewPipe's Github repo (repository, the codebase or where all of the code is stored). Scroll to the bottom of the page until you see "Releases". Click on the one that says "Latest" next to it in a little green bubble:
Your version number (v#...) will be different if you're reading this in the future! That's okay. Scroll past the changelog (unless you want to read it!) until you find "Assets":
Click on the first one, the one with the little cube ending in .apk. APK files are Android Package (Kit) and are the main format for downloading apps. Once you click on the link, it should begin downloading or your browser will ask you to confirm that you want to download this file. You should always verify the filename matches what you expect it to be (namely, the file format) before attempting to install! It might take a few moments for the file to download depending on your internet connection.
Step 2. Installation
Once you have the file downloaded, you can click the download popup in your notification bar or find the file in your device's file system. One of 2 things will happen:
You will get a popup asking if you want to install an APK by the name of NewPipe - confirm that you do (and make sure the app is really NewPipe!) and it will install automatically. You can then click "Open" to open the app and begin using it.
You will get a popup warning you that you have the ability to install apps from unknown sources disabled and that you can't install this. This is normal and does not mean that you downloaded the wrong thing.
If you got the first popup, continue past this step. For those of you who got the second, let's go over what this means.
By default, most Androids have this setting disabled. This is for security purposes, so you can't accidentally install a malicious app from the whole internet. If you enable this setting (allow installations from unknown/unsigned sources), you are theoretically putting yourself at risk. Realistically, you're probably fine. But, after installing NewPipe, you can always re-disable the setting if it makes you more comfortable. That will prevent you from installing updates in the future, but it can always be re-enabled.
Ready to turn that setting on? It will vary by your individual device! Some devices will take you directly to the page with the setting upon failed installation, and some you will just have to find it yourself using the searchbar in settings.
Once you've allowed installations from unknown sources (wording may vary slightly), try to repeat the steps above of clicking the download popup or finding the APK in your files and trying to install it. It should work correctly this time!
Step 3. Updating NewPipe
Like most apps, NewPipe is in development currently and frequently has new versions released to improve it and fix bugs. Unlike most apps, NewPipe needs to be manually updated, since we haven't downloaded through the Google Play store.
To update NewPipe, all you have to do is follow the above steps for installing the app, except that when you get the popup asking to install it, it will instead say "Update". That's it! NewPipe and Android handle the rest.
NewPipe also has popup notifications for when the app has a new update, so you don't have to worry about checking the GitHub for a new release. Just click on the "A new version is available" popup and it should take you directly to the webpage.
That's it! Enjoy browsing videos in peace without ads and with the ability to download and so much more. Pro tip: you can copy paste YouTube links into the NewPipe search bar to go directly to that video/playlist/channel.
#newpipe#youtube#youtube client#youtube replacement#how to install newpipe#android#android apk#android app#images#text#links#image descriptions#privacy#data privacy#internet privacy#big tech#data security#github#software#database#opensource#open source#newpipe app
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In the past week, I have had 1100 attempts by Tumblr to track me.
Most of these attempts are by Facebook, with a few attempts by google (for funsies, one assumes).
The information they want includes my name, email, gender, network, location, fingerprint, cookies, and every single bit of information about my device (its brand, id, storage, memory, screen resolution, rotation, battery, advertising id, etc).
Most of this information is probably out there somewhere or the other, in the Great Cloud. I have blocked all these attempts on principle.
Anywa-
#privacy#data safety#data theft#online security#google#facebook#tumblr#device tracking#i live the global capitalist era i swear#u believe me right Big Brother?
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AI images have such an uncanny feeling to it that I can't explain. There's nothing truly off with most of the images, they can look pretty fine and normal at times but there's still that feeling of it being off. It's like a whole body feeling to be alert because something's wrong, regardless of the context of the images. I have never had the experience of uncanny valley feeling before AI
#art#I feel tempted to study them to see if that feeling can be recreated by making art naturally#God knows I can find more than enough on Tumblr#i dont want to promote ai art i just want to see if i can figure out why its always off#also this isnt a foolproof way of determining whether somethings AI or not#ive just accepted that i will be fooled by AI sometimes no matter how hard i check#im so tired of AI#i looked at computers recently and it has AI built in#how is that not a privacy violation??????#yeah just monitor everything i ever do on my computer that sounds safe and secure!#i miss ai at the beginning when it just showed fucked up images of a computer misunderstanding the world#i dont think id ever feel comfortable using it until data centers figure out how to use less water#there are ways to make data centers more efficient#putting them in the middle of a hot desert is not the way to do that#you'd think companies wouldn't be so fucking dumb but they don't think about anything but profit#i think companies will always try to fuck over everyone if they can make more money#but i dont think ai can ever replace human art because i think a big part of art is connection#connection to the world and reality and to other people#a story from a person writing about their experience will always mean more and be more impactful than a computer generating words together#Godspeed if you're still reading i keep trying to look at art and seeing ai and its made me fall in love with art thats made by people#i especially love art by someone whos just starting to explore a new way to create#theres a freedom in the beginning of trying something new
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youtube
#enviornment#science#social media#technology#data analytics#datascience#big data#data privacy#online privacy#internet privacy#worldwide privacy tour#internet#safety#security#Youtube
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Enhancing healthcare documentation with IDP - AI News
New Post has been published on https://thedigitalinsider.com/enhancing-healthcare-documentation-with-idp-ai-news/
Enhancing healthcare documentation with IDP - AI News
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Healthcare documentation is an integral part of the sector that ensures the delivery of high-quality care and maintains the continuity of patient information. However, as healthcare providers have to deal with excessive amounts of data, managing it can feel overwhelming. With the advent of intelligent document processing technology, a new solution can now be implemented. This article explores how such technology works, its role in healthcare documentation, and its benefits, limitations, and implications for the future.
Intelligent document processing and its importance
Intelligent document processing is a more advanced type of automation based on AI technology, machine learning, natural language processing, and optical character recognition to collect, process, and organise data from multiple forms of paperwork. Unlike traditional document systems, IDP can handle unstructured and semi-structured data for multiple healthcare documents, which can exist in various forms. As such data is based on advanced, permanent algorithms and artificial intelligence tools, IDP can enhance the functions of healthcare providers and assist them in the care delivery process.
IDP’s role in healthcare documentation
Multiple forms of documents, like health, employment, or insurance records, reports, notes, forms, and social documents, have to be dealt with by multiple providers daily. IDP can reduce the need for inefficient data management processes through:
Automating the data extraction process by automatically capturing the essential information from the documents. Thus, it reduces the human factor and enhance performance,
Establishing more accurate data With AI algorithms. IDP ensures that the data captured is accurate and consistent; crucial for patient safety and care quality,
Organising data in a searchable format to allow better data access.
Ensuring compliance with regulations like HIPAA by securely managing sensitive patient data and providing audit trails.
Benefits of IDP in healthcare
The implementation of IDP in healthcare comes with several benefits:
Increased efficiency: By automating routine tasks, healthcare providers can focus more on patient care rather than paperwork,
Cost reduction: IDP reduces the need for manual data entry and paper-based processes, leading to significant cost savings,
Better patient experience: Quick access to patient history and records leads to more informed decision-making and personalised care,
Scalability: As healthcare facilities grow, IDP systems can easily scale to manage increased data volumes without compromising performance.
Challenges in implementing IDP
While IDP offers many advantages, there are challenges to its adoption:
Integration with existing systems: Integrating IDP with current healthcare IT ecosystems can be complex and requires careful planning,
Data privacy concerns: Protecting patient data is paramount, and IDP must adhere to stringent security standards,
Change management: Staff may resist shifting from manual to automated processes, necessitating adequate training and change management strategies.
Future of IDP in healthcare
In the future, IDP is likely to increase its impact in the healthcare field. Given the rise of AI and machine learning, the corresponding systems will become increasingly sophisticated, likely providing predictive analytics and decision support services. This could help improve diagnostic precision and create a more personalised patient treatment plan, eventually leading to better outcomes. In addition, IDP may facilitate data exchange between different healthcare systems.
Conclusion
Intelligent document processing is a typical solution that is bound to become increasingly impactful in healthcare. It may help healthcare professionals deal more effectively with the contemporary challenges of patient data. Although challenges exist, the potential results of improved client care, decreased expenses, and more precise data make IDP an invaluable asset. Thus, it can be concluded that Intelligent Document Processing should be considered one of the healthcare industry’s future solutions in its quest toward digitalisation.
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#2024#adoption#ai#ai & big data expo#ai news#Algorithms#amp#Analytics#Article#artificial#Artificial Intelligence#audit#author#automation#Big Data#california#change#change management#character recognition#Cloud#compliance#comprehensive#conference#cost savings#cyber#cyber security#data#data extraction#Data Management#data privacy
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I've seen a number of people worried and concerned about this language on Ao3s current "agree to these terms of service" page. The short version is:
Don't worry. This isn't anything bad. Checking that box just means you forgive them for being US American.
Long version: This text makes perfect sense if you're familiar with the issues around GDPR and in particular the uncertainty about Privacy Shield and SCCs after Schrems II. But I suspect most people aren't, so let's get into it, with the caveat that this is a Eurocentric (and in particular EU centric) view of this.
The basic outline is that Europeans in the EU have a right to privacy under the EU's General Data Protection Regulation (GDPR), an EU directive (let's simplify things and call it an EU law) that regulates how various entities, including companies and the government, may acquire, store and process data about you.
The list of what counts as data about you is enormous. It includes things like your name and birthday, but also your email address, your computers IP address, user names, whatever. If an advertiser could want it, it's on the list.
The general rule is that they can't, unless you give explicit permission, or it's for one of a number of enumerated reasons (not all of which are as clear as would be desirable, but that's another topic). You have a right to request a copy of the data, you have a right to force them to delete their data and so on. It's not quite on the level of constitutional rights, but it is a pretty big deal.
In contrast, the US, home of most of the world's internet companies, has no such right at a federal level. If someone has your data, it is fundamentally theirs. American police, FBI, CIA and so on also have far more rights to request your data than the ones in Europe.
So how can an American website provide services to persons in the EU? Well… Honestly, there's an argument to be made that they can't.
US websites can promise in their terms and conditions that they will keep your data as safe as a European site would. In fact, they have to, unless they start specifically excluding Europeans. The EU even provides Standard Contract Clauses (SCCs) that they can use for this.
However, e.g. Facebook's T&Cs can't bind the US government. Facebook can't promise that it'll keep your data as secure as it is in the EU even if they wanted to (which they absolutely don't), because the US government can get to it easily, and EU citizens can't even sue the US government over it.
Despite the importance that US companies have in Europe, this is not a theoretical concern at all. There have been two successive international agreements between the US and the EU about this, and both were struck down by the EU court as being in violation of EU law, in the Schrems I and Schrems II decisions (named after Max Schrems, an Austrian privacy activist who sued in both cases).
A third international agreement is currently being prepared, and in the meantime the previous agreement (known as "Privacy Shield") remains tentatively in place. The problem is that the US government does not want to offer EU citizens equivalent protection as they have under EU law; they don't even want to offer US citizens these protections. They just love spying on foreigners too much. The previous agreements tried to hide that under flowery language, but couldn't actually solve it. It's unclear and in my opinion unlikely that they'll manage to get a version that survives judicial review this time. Max Schrems is waiting.
So what is a site like Ao3 to do? They're arguably not part of the problem, Max Schrems keeps suing Meta, not the OTW, but they are subject to the rules because they process stuff like your email address.
Their solution is this checkbox. You agree that they can process your data even though they're in the US, and they can't guarantee you that the US government won't spy on you in ways that would be illegal for the government of e.g. Belgium. Is that legal under EU law? …probably as legal as fan fiction in general, I suppose, which is to say let's hope nobody sues to try and find out.
But what's important is that nothing changed, just the language. Ao3 has always stored your user name and email address on servers in the US, subject to whatever the FBI, CIA, NSA and FRA may want to do it. They're just making it more clear now.
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https://www.bloglovin.com/@vastedge/how-to-protect-your-privacy-in-a-big-data
In a world dominated by big data, safeguarding your privacy is crucial. This guide offers practical steps and solutions to protect personal and corporate data, with a focus on compliance, encryption, and best practices for data security.
#protect privacy in big data#data privacy solutions#big data security guide#personal data protection.
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The Illusion of Influence: An Examination of the Media, Security Agencies, and Technological Power in Shaping Public Perception
Introduction In today’s digital age, the boundary between reality and illusion has blurred significantly. This essay explores how the perception of magical influence, akin to saying “hocus pocus” and seeing changes unfold, mirrors the intricate interplay between journalism, security agencies, state agencies, and information specialists in contemporary society. By examining these mechanisms and…
#Advanced Analytics#augmented reality#behavioral analysis#Behavioral Insights#Big Data#control mechanisms#data analysis#data collection#Data Management#data mining#Data Privacy#data security#Design#digital age#digital culture#Digital Design#Digital Dynamics#Digital Dynamics Research#digital identity#Digital Impact#Digital Influence#Digital Influence Factors#Digital Information#Digital Innovations#Digital Marketing#digital media#Digital Media Influence#Digital Perception#digital surveillance#digital technology
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Big Data Security Market by Size, Share, Forecast, & Trends Analysis
Meticulous Research®—a leading global market research company, published a research report titled, ‘Big Data Security Market by Component (Solutions [Data Encryption, Security Intelligence, Data Backup & Recovery], Services), Deployment Mode, Organization Size, End User (IT & Telecom, BFSI, Retail & E-commerce), and Geography - Global Forecast to 2031.’
According to this latest publication from Meticulous Research®, the big data security market is projected to reach $60.1 billion by 2031, at a CAGR of 13.2% from 2024 to 2031. The growth of the big data security market is driven by the emergence of disruptive digital technologies, the increasing demand for data security and privacy solutions due to the rise in data breaches, and the growing data generation in the e-commerce industry. However, the high implementation costs of big data security solutions restrain the growth of this market.
Furthermore, the growing need for cloud-based security solutions and the increasing integration of AI, ML, and blockchain technologies in security solutions are expected to generate growth opportunities for the stakeholders in this market. However, the lack of knowledge about big data security solutions and the shortage of skilled IT professionals are major challenges impacting the growth of the big data security market.
The big data security market is segmented by component (solutions [data discovery and classification, data encryption {data protection, tokenization, data masking, other data encryption solutions}, security intelligence, data access control & authentication, data governance & compliance, data backup & recovery, data auditing & monitoring, other solutions], services [professional services, managed services]), deployment mode (on-premise deployments, cloud-based deployments), organization size (large enterprises, small & medium-sized enterprises), end user (IT & telecom, healthcare & pharmaceutical, BFSI, retail & e-commerce, energy & utilities, government, manufacturing, media & entertainment, transportation & logistics, and other end users). The study also evaluates industry competitors and analyzes the market at the regional and country levels.
Based on component, the big data security market is segmented into solutions and services. The solutions segment is further segmented into data discovery and classification, data encryption, security intelligence, data access control & authentication, data governance & compliance, data backup & recovery, data auditing & monitoring, and other solutions. In 2024, the solutions segment is expected to account for the larger share of the big data security market. The large market share of this segment is attributed to the increasing concerns regarding data security and privacy, the increasing adoption of data security solutions by SMEs, and the rising demand for encryption solutions for data protection across IoT devices. Big data security solutions include tools and measures to process or safeguard data and analytics processes. In March 2024, CrowdStrike, Inc. (U.S.) partnered with Rubrik, Inc. (U.S.) to transform data security solutions and stop breaches of critical information. Moreover, this segment is also projected to register the highest CAGR during the forecast period.
Based on deployment mode, the big data security market is segmented into on-premise deployments and cloud-based deployments. In 2024, the on-premise deployments segment is expected to account for the larger share of the big data security market. The large market share of this segment is attributed to the higher preference for on-premise deployments among large enterprises and increasing data generation in large enterprises. The on-premise model of deployment is majorly adopted by well-established and large companies that are capable of making capital investments toward the required hardware and hosting environments. In addition, these organizations also have sufficient in-house IT expertise to maintain software efficiency. Internal big data security is one of the major benefits of on-premise deployments.
However, the cloud-based deployments segment is projected to register the higher CAGR during the forecast period. The growth of this segment is driven by the rapid evolution of new security avenues for cloud-based deployments, the superior flexibility offered by cloud-based deployments, and the increase in security breaches. Cloud-based security solutions provide social networking privacy, system optimization, online storage, regulatory compliance, and connected device security. The adoption of cloud computing and storage systems is gaining popularity among small and medium-scale enterprises, supporting the growth of this segment.
Based on organization size, the big data security market is segmented into large enterprises and small & medium-sized enterprises. In 2024, the large enterprises segment is expected to account for the larger share of the big data security market. The large market share of this segment is attributed to the strong IT infrastructure of large enterprises, the growing adoption of advanced technologies such as AI, IoT, and blockchain, and the availability of skilled IT personnel to manage data security platforms. With larger budgets and a keen focus on developing strategic IT initiatives, large enterprises have a competitive advantage over small and medium-scale enterprises in terms of technology adoption. Large enterprises have a stable financial backup and can easily procure customized data security solutions, contributing to this segment's growth.
However, the small & medium-sized enterprises segment is projected to register the higher CAGR during the forecast period. The growth of this segment is driven by increasing digital transformation, government initiatives to promote security solutions, and the rising incidence of data breaches. SMEs are also increasingly becoming targets of cybercrime and therefore adopting suitable and strong security solutions.
Based on end user, the big data security market is segmented into IT & telecom, healthcare & pharmaceutical, BFSI, retail & e-commerce, energy & utilities, government, manufacturing, media & entertainment, transportation & logistics, and other end users. In 2024, the IT & telecom segment is expected to account for the largest share of the big data security market. The large market share of this segment is attributed to the increasing data breaches in IT companies as they store a vast amount of customer data, strict regulatory compliance forcing companies to implement stricter data security measures, and the increasing adoption of cloud-based solutions in the IT industry. In March 2023, IBM Corporation (U.S.) collaborated with Cohesity, Inc. (U.S.) to address increased data security and resiliency issues in hybrid cloud environments. With this collaboration, IBM launched its new IBM Storage Defender solution, including Cohesity's data protection, cyber resilience, and data management capabilities in the offering.
However, the healthcare & pharmaceutical segment is projected to register the highest CAGR during the forecast period. The growth of this segment is driven by the rising adoption of telemedicine devices and remote healthcare services, growing cyberattacks on connected devices, and the increasing demand for secure medical connected devices. A vast amount of medical data is generated in the healthcare sector. It is stored to improve patient outcomes, personalize treatment plans, and develop new drugs, among other applications. However, this sensitive data requires robust security measures to protect patient privacy and prevent unauthorized access. In November 2021, Armis, Inc. (U.S.) partnered with Nuvolo (U.S.) to improve data interoperability and the overall risk posture of healthcare organizations.
Based on geography, the big data security market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2024, North America is expected to account for the largest share of the big data security market. The market growth in North America is driven by the presence of prominent players offering advanced big data security solutions & services, the early adoption of disruptive technologies, and growing awareness regarding data security. North America is home to several major players that provide products and services to improve big data security measures for IT assets, data, and privacy across different domains. Thus, big data security companies operating in the North America region are investing heavily in R&D activities to develop new & advanced security solutions that can address rising security challenges. In February 2024, Cyberhaven, Inc. (U.S.) launched Linea AI, an AI platform designed to combat the critical insider risks threatening vital corporate data.
However, the Asia-Pacific region is projected to record the highest CAGR during the forecast period. The growth of this market is driven by the growing data breaches, supportive government initiatives, and growing awareness regarding data security among small and medium-scale organizations. In December 2023, Safetica a.s. (U.S.) partnered with Kaira Global (Singapore) to deliver Safetica's Data Loss Prevention (DLP) solutions for enterprises of all sizes to safeguard their data against insider risks and data breaches in Singapore. APAC is the fastest-growing big data security market due to rapid investments in IT infrastructure, extensive use of the Internet, and growing security challenges.
Key Players
The key players operating in the big data security market are Check Point Software Technologies, Ltd. (Israel), Cisco Systems, Inc. (U.S.), Fortinet, Inc. (U.S.), Oracle Corporation (U.S.), IBM Corporation (U.S.), Microsoft Corporation (U.S.), Hewlett Packard Enterprise Development LP (U.S.), Intel Corporation (U.S.), Palo Alto Networks, Inc. (U.S.), Thales Group (France), Juniper Networks, Inc. (U.S.), Broadcom, Inc. (U.S.), Dell Technologies, Inc. (U.S.), CyberArk Software Ltd. (U.S.), and Rapid7, Inc. (U.S.).
Download Sample Report Here @ https://www.meticulousresearch.com/download-sample-report/cp_id=4984
Key Questions Answered in the Report:
What are the high-growth market segments in terms of the component, deployment mode, organization size, and end user?
What is the historical market size for the global big data security market?
What are the market forecasts and estimates for 2024–2031?
What are the major drivers, restraints, opportunities, challenges, and trends in the global big data security market?
Who are the major players in the global big data security market, and what are their market shares?
What is the competitive landscape like?
What are the recent developments in the global big data security market?
What are the different strategies adopted by major market players?
What are the trends and high-growth countries?
Who are the local emerging players in the global big data security market, and how do they compete with the other players?
Contact Us: Meticulous Research® [email protected] Contact Sales- +1-646-781-8004 Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-research
#Big Data Security Market#Big Data Security Management#Big Data Security and Privacy#Big Data Security Technologies#Big Data Security Solutions#Big Data Security Platform
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Welcome to the digital era, where data reigns as the new currency.
In modern information technology, the term “Big Data” has surged to the forefront, embodying the exponential growth and availability of data in today’s digital age. This influx of data encompasses vast volumes, generated at unprecedented speeds and with diverse varieties, presenting both challenges and opportunities across industries worldwide.
To unlock the true potential of big data, businesses need to address several critical areas like #BigDataCollection and #DataIntegration, #DataStorage and Management, #DataAnalysis and #DataAnalytics, #DataPrivacy and #DataSecurity, Innovation and Product Development, Operational Efficiency and Cost Optimization. Here at SBSC we recognize the transformative power of #bigdata and empower businesses to unlock its potential through a comprehensive suite of services: #DataStrategy and #Consultation: SBSC’s Tailored advisory services help businesses define their Big Data goals, develop a roadmap, and align data initiatives with strategic objectives.
#DataArchitecture and #DataIntegration: We Design and implementation of scalable, robust data architectures that support data ingestion, storage, and integration from diverse sources. #DataWarehousing and Management: SBSC provides Solutions for setting up data warehouses or data lakes, including management of structured and unstructured data, ensuring accessibility and security. Data Analytics and Business Intelligence: Advanced analytics capabilities leveraging machine learning, AI algorithms, and statistical models to derive actionable insights and support decision-making.
#DataVisualization and Reporting: Creation of intuitive dashboards and reports that visualize key insights and performance metrics, enabling stakeholders to interpret data effectively. #CloudServices and Infrastructure: Leveraging #cloudplatforms for scalability, flexibility, and cost-effectiveness in managing Big Data environments, including migration and optimization services Continuous Improvement and Adaptation: Establishment of feedback loops and metrics to measure the impact of Big Data initiatives, fostering a culture of continuous improvement and adaptation.
By offering a comprehensive suite of services in these areas, SBSC helps businesses to harness the power of Big Data to drive innovation, improve operational efficiency, enhance customer experiences, and achieve sustainable growth in today’s competitive landscape
Contact SBSC to know the right services you need for your Business
Email: [email protected] Website:https://www.sbsc.com
#Big Data Collection#big data#Cloud Services Consultation#Data Warehousing#Data Strategy#Data Storage#Data Security#Data Privacy#Data Integration#Data Architecture#Data Analysis
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The Data Economy: A Balancing Act in the Age of AI Enhanced Devices
The AI Revolution: A New Era of Computing
AI is no longer a distant concept; it's woven into the fabric of our digital lives. Smartphones and computers, once mere tools, are evolving into intelligent companions, capable of understanding, learning, and anticipating our needs. Companies like Apple, with its focus on privacy and user experience, and Microsoft, with its aggressive push into AI, are at the forefront of this transformation. Apple Intelligence and Microsoft's Copilot+ PC are prime examples of how AI is being integrated into everyday devices.
The Allure of AI: Benefits and Promises
AI-powered devices offer a myriad of benefits:
Personalized Experiences: Tailored recommendations, content, and services based on individual preferences and behaviors.
Enhanced Productivity: Automation of routine tasks, freeing up time for more creative and strategic endeavors.
Improved Accessibility: Tools and features designed to assist individuals with disabilities.
Healthcare Advancements: AI-driven diagnostics, drug discovery, and personalized treatment plans.
Data: The Fuel for AI
To function effectively, AI algorithms require vast amounts of data. This data is meticulously collected from user interactions, sensor data, and third-party sources. AI-powered devices are constantly learning and adapting based on the data they collect, creating a symbiotic relationship between technology and human behavior.AI-driven devices meticulously collect data about user preferences, habits, and interactions. This data is used to train AI models, improve device performance, and deliver targeted advertising.
Brands like Apple and Microsoft and Their Approach to AI
Apple’s Pioneering Intelligence
Apple has been a pioneer in integrating AI into its devices, with Apple Intelligence enhancing the capabilities of Siri and other services. Siri's AI-driven features include voice recognition, contextual understanding, and proactive suggestions, making it a robust personal assistant. Apple also focuses on privacy, ensuring that user data is processed on-device whenever possible, minimizing the risk of data breaches.
Microsoft's Copilot Approach
Microsoft has introduced the Copilot+ PC, a new line of AI-enhanced laptops designed to integrate AI seamlessly into everyday tasks. These devices come with AI features that assist with productivity, security, and personalization. For example, the Copilot+ PC can anticipate user needs, suggest actions, and automate routine tasks, significantly enhancing the user experience.
The Data Privacy Dilemma
The extensive data collection practices of AI-powered devices raise significant privacy concerns. Users may be unaware of the extent to which their data is being collected, shared, and used.
Data Breaches: The concentration of vast amounts of personal data on these devices creates a tempting target for cybercriminals. Data breaches can have devastating consequences for individuals and organizations.
Surveillance Capitalism: The business model of collecting and monetizing user data raises ethical questions about surveillance and privacy.
Consent and Control: Users should have greater control over their data, including the ability to opt out of data collection and usage.
Mitigating the Risks
To harness the benefits of AI while minimizing its risks, a responsible approach is essential:
Data Privacy Regulations: Enforceable data protection laws like GDPR and CCPA are crucial to safeguarding user rights.
Transparency and Accountability: Companies must be transparent about data collection practices and accountable for data breaches.
User Control: Providing users with clear choices about data sharing and usage is essential.
Ethical AI Development: AI systems should be developed and deployed with ethical considerations in mind, avoiding bias and discrimination.
Cybersecurity: Robust cybersecurity measures are necessary to protect user data from breaches.
The Future of AI and Data
The relationship between AI and data is complex and constantly evolving. As AI technology advances, so too will the volume and complexity of data collected. It is imperative to strike a balance between innovation and privacy, ensuring that AI benefits society while protecting individual rights.
By fostering a culture of data responsibility, transparency, and user empowerment, we can shape a future where AI serves as a force for good. At Uvation, we are committed to helping businesses navigate the complexities of AI technology and data security. Our expert team provides tailored solutions to ensure responsible AI deployment, protecting user data and enhancing operational efficiency.
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#Linux#Linux data replication#cloud solutions#Big data security#cloud computing#secure data handling#data privacy#cloud infrastructure#cloud technology#Data Analytics#data integration#Big data solutions#Big data insights#data management#File transfer solutions
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Is Big Data Spying On You?
"Feeling like Big Data's got an eye on you? Let's uncover the truth together. Explore with ThunkDeep if we're just data in a digital spy game. #BigDataSpying #PrivacyMatters #ThunkDeep
Alright, folks, let’s chop it up on how we all dwell in this digital cosmos, cluttered with ads like it’s some kind of constellation out here. Is Big Data Spying on you? You know what it’s like—you’re scrolling, minding your own, and bam! An ad for them kicks you saw two weeks ago pops up. Coincidence? I think not. Lemme lay it on ya: this is about whether you crave that custom ad experience or…

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#AfroFuturism#Big Data#data security#digital footprint#internet privacy#online tracking#privacy#surveillance#tech insights#ThunkDeep#user data
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Unlock Data Governance: Revolutionary Table-Level Access in Modern Platforms
Dive into our latest blog on mastering data governance with Microsoft Fabric & Databricks. Discover key strategies for robust table-level access control and secure your enterprise's data. A must-read for IT pros! #DataGovernance #Security
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#Access Control#Azure Databricks#Big data analytics#Cloud Data Services#Data Access Patterns#Data Compliance#Data Governance#Data Lake Storage#Data Management Best Practices#Data Privacy#Data Security#Enterprise Data Management#Lakehouse Architecture#Microsoft Fabric#pyspark#Role-Based Access Control#Sensitive Data Protection#SQL Data Access#Table-Level Security
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