#platform for data sharing

[data-sharing]

3 Benefits of Data Sharing

Sharing data among team members and partners can make a huge difference in how efficiently your company can act on data insights. Although data sharing can cause trouble if it isn’t handled properly, the benefits of streamlined data sharing outweigh the risks in most cases.

If you’re considering creating or re-evaluating a data sharing plan, below are three benefits of data sharing to keep in mind:

1. New Perspectives

One of the biggest benefits of data sharing is that you have the opportunity to gain new perspectives. Even the most talented data team in the world can become complacent over time when dealing with the same types of data over and over. Using a platform for data sharing allows you to bring fresh perspectives to data that your company may not have received when relying on the same analysts over and over. In almost all circumstances of data analysis, getting multiple sets of eyes on a problem is a good thing.

2. You Ensure Credit Attribution

While dealing with large datasets, it can be easy for attribution to get lost over time. When data comes from different sources and is analyzed by different people, you want to provide credit where it’s due. This can be tough when your team is the only source representing the data your company works with, but through the use of a platform for data sharing, all the moving pieces in a project can receive proper attribution.

3. Data Becomes Reusable

One of the more important benefits of data sharing is that it allows data to become reusable. When your team is finished analyzing and making use of data, it can be passed along to partners to help them.

This breeds stronger partnerships and can also be used as a source of attribution back to your company. In the age of generative search where entity SEO is more important than ever, having citations and attributions spread across the web is important.

Read a similar article about data catalog here at this page.

[thatgirlonstage]

The thing about tumblr is that there’s a panic about how the site is dying and falling apart literally every other week so eventually if you’ve been here long enough you just get zen about it. Like if anything specific is your breaking point do whatever you want but personally they’re gonna have to pry me out of the vents like a feral raccoon before I leave. Anyway if you’re new here and you see people talk about how something is the end of tumblr and you’re afraid they’re correct I just want you to know I’ve been here through probably like 300 ends of tumblr. I’m not saying it will never happen for real but statistically I remain skeptical.

[renjunniez]

helping edit research papers for the college journal and my hatred for Generative AI has never been greater. it's like the fucking plague in here i want AI to DIE

[blackknight-100]

Today I found out that apparently, even LinkedIn, a professional platform expected to contain people's personal information, is using our data to train generative AI models, and one has to specifically opt-out if they don't want their data to be harvested by AI. This change is effective from November 20th in all regions except the European Economic Area, Switzerland, and the United Kingdom.

If you don't want your data to be used to train AI models, consider opting out by going to Settings -> Data Privacy -> Data for Generative AI improvement -> Toggle switch to "Off"

[chimerarachnid]

The Sun creates enormous sound waves through its constant churning of plasma and fusion reactions. These waves are essentially pressure oscillations that travel through the Sun's plasma. Scientists call these oscillations "solar oscillations" or "helioseismic waves."

The "sound" these oscillations would make, if we could hear them, would be far below the range of human hearing - around 3 mHz (millihertz), or about 0.003 Hz. For comparison, humans generally hear between 20 Hz and 20,000 Hz.

The reason we can't hear these sounds on Earth is simple: sound waves need a medium to travel through (like air or water), and space is essentially a vacuum. There's no medium for the sound to travel from the Sun to Earth.

However, scientists have found ways to "listen" to the Sun:

NASA and other space agencies have converted the Sun's vibrations and electromagnetic variations into audible frequencies. This process is called "sonification" - it's not actual sound, but rather data converted into sound we can hear.

These solar "sounds" often come out as eerie humming or pulsing noises. The Sun essentially "rings" like a bell, but at frequencies millions of times deeper than we can hear.

The study of these solar oscillations (helioseismology) is actually quite important - it helps scientists understand the Sun's internal structure and dynamics, much like how seismology helps us understand Earth's interior.

I watched a video on sonification with astrophysicist and data sonification expert Kimberly Arcand the other day via StarTalk. It's over an hour long but worth the watch! They also mention Wanda Díaz-Merced, a blind astronomer who pioneered the use of sonification to study visual data! https://www.youtube.com/watch?v=sSl3bHuls80

[bigulalgotrading]

How Big Data is Revolutionizing Algorithmic Trading | Bigul

Big data, AI, and real time processing are transforming algorithmic trading. Explore its future with quantum computing and blockchain for smarter decisions.

Read more..

[jcmarchi]

Storage Predictions for 2025: Larry O’Connor Explores the Future of Data Management

New Post has been published on https://thedigitalinsider.com/storage-predictions-for-2025-larry-oconnor-explores-the-future-of-data-management/

Storage Predictions for 2025: Larry O’Connor Explores the Future of Data Management

In this article by Larry O’Connor for LarryJordan.com, the founder and CEO of OWC shares his insightful predictions for the future of data storage in 2025. Highlighting the return to on-premises solutions, the democratization of AI through local implementation, and the growing performance gap between local and cloud-based systems, O’Connor provides a roadmap for businesses to optimize their storage strategies. These predictions focus on enhancing security, improving performance, and reducing costs—key considerations for data management in the digital era.

The Return of On-Premises Data Storage and Computing

O’Connor predicts a major resurgence in on-premises data storage and computing as organizations prioritize security, performance, and cost control. With cloud storage costs on the rise and vulnerabilities becoming more apparent, many businesses are turning to local solutions for critical data management. On-prem data storage offers faster access speeds, greater reliability, and enhanced protection against cyberattacks.

Smaller businesses, in particular, benefit from local storage since it is less attractive to cybercriminals compared to public cloud platforms. O’Connor emphasizes that the cloud should play a supporting role—serving as a tertiary backup or for external data sharing—while local solutions remain the primary strategy for data security. By reducing reliance on cloud storage, businesses can avoid bandwidth costs, accelerate data recovery, and maintain control over sensitive information.

On-Premises AI: Democratizing Technology and Protecting Intellectual Property

One of the most exciting predictions from O’Connor is the rise of on-premises AI. This shift enables smaller businesses to access powerful data processing tools without the high costs associated with cloud-based AI platforms. Running AI systems locally not only democratizes advanced technology but also protects proprietary data, algorithms, and customer insights from being exposed in the cloud.

O’Connor warns of the risks of “data bleed,” where proprietary information inadvertently enhances third-party systems or becomes accessible to competitors. On-prem AI ensures full control over sensitive data while eliminating recurring costs associated with cloud AI services. This makes on-premises AI a cost-effective and secure option for businesses looking to leverage AI capabilities.

The Expanding Performance Gap Between Local and Cloud-Based Systems

O’Connor’s third prediction underscores the growing performance gap between locally operated systems and cloud-dependent solutions. With advancements like Thunderbolt 5 technology, local systems now achieve data transfer speeds of up to 7000MB/s, far surpassing the 100MB/s typical of cloud-based systems.

This dramatic performance boost is essential for tasks such as video editing, high-resolution imagery processing, and managing complex data sets. By leveraging local systems, businesses can streamline workflows and significantly reduce the time and cost associated with cloud dependency. O’Connor suggests that cloud storage is best reserved for distribution and collaboration, while local solutions should handle performance-intensive tasks.

Conclusion: Embracing a Hybrid Storage Strategy

Larry O’Connor’s predictions for 2025 highlight a pivotal shift in data management strategies. Businesses are advised to embrace on-premises solutions for their speed, security, and cost advantages while using cloud services selectively for supplementary needs. Whether it’s safeguarding intellectual property, optimizing performance, or reducing expenses, on-premises storage and computing are poised to take center stage in the future of data management.

For organizations looking to stay ahead of the curve, O’Connor’s insights provide a clear path to success. By adopting a hybrid approach to data storage, businesses can harness the best of both local and cloud technologies, ensuring they remain competitive in an evolving digital landscape.

Read the full article by Larry O’Connor HERE

Learn more about OWC below:

[industrynewsupdates]

Data Marketplace Platform Market: A Deep Dive into Key Industry Players

The global data marketplace platform market size is expected to reach USD 5.73 billion by 2030, registering a CAGR of 25.2% from 2025 to 2030, according to a new report by Grand View Research, Inc. A data marketplace is a transactional platform that facilitates buying and selling of different data types, offering a unique user experience. Data marketplaces comprise cloud services where businesses or individuals can upload data to the cloud. The different data types, such as demographic, business intelligence, and firmographic, personal data, are available in a data marketplace.

The data marketplace platform enables self-service data access, maintaining a high quality of data, consistency, and security for both parties. Businesses and organizations are commencing to augment internal data sets with external data propelling the growth of the data marketplace platform market. It enables buyers with segmented, dependable, and relevant data to access data via analytical tools and platforms to meet business needs.

For instance, the Microsoft Azure marketplace provides data through a uniform interface, and developers can access data via Microsoft Excel and PowerPivot. The gradual shift from conventional business practices to online platforms resulted in the establishment of efficient data marketplace services and solutions. Data marketplace arranges data flow and optimizes data sourcing, providing a data analytics framework for tuning decision models to optimize and improve processes.

Several companies have launched new platforms during the COVID-19 pandemic. For instance, in 2020, Aiisma, a data marketplace, launched Aiisma App with Aiihealth feature, consisting of marketplaces’ location sharing and health mapping features. Users can anonymously and consensually share their behavioral data in exchange for rewards, and this application has proven helpful in creating a digital fence against the pandemic.

The growth is attributed to the emergence of Big Data, web scraping, and advancements in blockchain, as it provides access to considerable data to enhance performance and generate revenue. Web scraping is an automatic process of extracting data from websites; it automates data collection, unlocks web data sources, and suggests data-driven decisions that add value to decision-making. The increasing adoption of AI, data mesh, data management, and blockchain in data & analytics is propelling the usage of self-service analytics solutions.

The market is projected to witness significant growth attributed to the increasing adoption of Internet of Things (IoT) solutions and the deployment of cutting-edge technologies such as AI, AR/VR orchestration capabilities, and machine-to-machine (M2M) advancements in communications networks. Additionally, a growing emphasis on the usage of cloud services is anticipated to boost the growth.

Gather more insights about the market drivers, restrains and growth of the Data Marketplace Platform Market

Data Marketplace Platform Market Report Highlights

• The platform segment dominated the overall market with a revenue share of more than 62% in 2024, and is expected to witness a CAGR of 24.3% during the forecast period.

• The B2B data marketplace platforms segment dominated the overall data marketplace platform industry, gaining a revenue share of over 58% in 2024. It is expected to witness a CAGR of 24.6% during the forecast period.

• The subscription segment dominated the overall market, gaining a revenue share of over 52% in 2024. It is anticipated to witness a CAGR of 27.2% during the forecast period.

• The large enterprises segment dominated the overall market with a revenue share of nearly 57% in 2024 and is expected to grow at a CAGR of 24.7% during the forecast period.

• The financial services segment dominated the overall market, gaining a revenue share of 18.5% in 2024. It is witnessing a CAGR of 18.7% during the forecast period.

• North America data marketplace platform market led the overall data marketplace platform industry in 2024, with a share of more than 35%.

Data Marketplace Platform Market Segmentation

Grand View Research has segmented global data marketplace platform market report based on component, type, revenue model, enterprise size, end-user, and region:

Data Marketplace Platform Component Outlook (Revenue, USD Million, 2017 - 2030)

• Platform

• Services

Data Marketplace Platform Type Outlook (Revenue, USD Million, 2017 - 2030)

• Personal Data Marketplace Platforms

• B2B Data Marketplace Platforms

• IoT Data Marketplace Platforms

Data Marketplace Platform Revenue Model Outlook (Revenue, USD Million, 2017 - 2030)

• Subscription

• Commission

• Paid features

• Others

Data Marketplace Platform Enterprise size Outlook (Revenue, USD Million, 2017 - 2030)

• Large Enterprises

• SME's

Data Marketplace Platform End-user Outlook (Revenue, USD Million, 2017 - 2030)

• Financial Services

• Advertising, Media & Entertainment

• Retail & CPG

• Healthcare & Life Sciences

• Technology

• Public Sector

• Manufacturing

• Other (Education, Automotive, Energy, Oil & Gas)

Data Marketplace Platform Regional Outlook (Revenue, USD Million, 2017 - 2030)

• North America

o U.S.

o Canada

o Mexico

• Europe

o U.K.

o Germany

o France

o Italy

• Asia Pacific

o China

o Japan

o India

o South Korea

o Australia

• Latin America

o Brazil

• Middle East & Africa

o UAE

o KSA

o South Africa

Order a free sample PDF of the Data Marketplace Platform Market Intelligence Study, published by Grand View Research.

[dhirajmarketresearch]

[appendingfic]

Person: This TOS is TERRIBLE! Me: Is it actually terrible, or are you misunderstanding basic legal terms relating to a third party hosting your work? Person: The TOS is TERRIBLE Person: they say they have a ROYALTY-FREE LICENSE to modify your work- Me: *leaves*

[anki1994]

Big Data Platform Market Size, Segments, Growth and Trends by Forecast to 2031

The Insight Partners latest offering, titled “Big Data Platform Market Size and Share Analysis to 2031,” provides comprehensive insights for startups and big market players. The report covers industry performance, risk factors, growth determinants, economics of cost, and ROI streams. It combines qualitative and primary research methods, making it an essential product for companies, investors, and business strategists aiming to excel in the Big Data Platform market in a projected timeframe.

Market Overview

Big Data Platform market has experienced dynamic transformations in recent years, anticipated to remain an investible domain for investors in the projected time. The market is propelled by consumer preferences, regulatory parameters, and advancements in technology. Concurrently, the surge in automation has favored Big Data Platform market share expansion. Advancements in manufacturing technologies have made the Big Data Platform market viable and accessible, which is further expected to contribute to market growth.

In confluence with the aforementioned growth drivers, the Big Data Platform market is also gauged for restraints and trends. The emerging trends in the market are analyzed in this chapter to assist market players in trying to retain their competitive edge. Strategic insights on key players and their tactics are perks of this research. This section brings forward different organic business strategies, strategic partnerships, and collaborations in the Big Data Platform market.

Market Segmentation

To adequately aid their customers in a competitive Big Data Platform market, enterprises must educate themselves on key segments. Streamlining market approaches is an effective application of market research. The market segmentation section focuses on product, application, and regional categories. Understanding demographics and high-ROI geographical regions helps entrepreneurs optimize their products. 

Regional Insights

The report attempts to explore both global and regional market aspects through authorized sources. Regional share, trends, key market players, and future scope are perks under this section.

Report Attributes

Details

Segmental Coverage

Offering

Solution

Service

Deployment

On-premises

Cloud

End-user

BFSI

IT and Telecom

Government

Others

Regional and Country Coverage

North America (US, Canada, Mexico)

Europe (UK, Germany, France, Russia, Italy, Rest of Europe)

Asia Pacific (China, India, Japan, Australia, Rest of APAC)

South / South & Central America (Brazil, Argentina, Rest of South/South & Central America)

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

Market Leaders and Key Company Profiles

1010data, Inc.

Cloudera, Inc.

IBM

Microsoft Corporation

Oracle Corporation

Pivotal Software, Inc.

SAP SE

Sisense

Teradata Corporation

Vertica Systems

Other key companies 

Need a Customized Market Research Report?

You can always share any specific requirements that you have, and our team will adjust the scope of research offerings as per your needs. the following are some customizations our clients ask for:

The report can be customized based on specific regions/countries as per the intention of the business

The report production was facilitated as per the need and following the expected time frame

Insights and chapters tailored as per your requirements.

Depending on the preferences we may also accommodate changes in the current scope.

Key Questions Addressed in the Big Data Platform Market Research Include:

What are present Big Data Platform market values, and what can be expected in the upcoming decade?

What are the key segments in the Big Data Platform market?

What is the regional distribution of the Big Data Platform market report?

What are the key players and their recent strategies?

What are the key factors driving Big Data Platform market growth?

What are regulatory concerns and requirements businesses have to compel?

Our Unique Research Methods at The Insight Partners

We offer syndicated market research solutions and consultation services that provide complete coverage of global markets. This report includes a snapshot of global and regional insights. We pay attention to business growth and partner preferences, that why we offer customization on all our reports to meet individual scope and regional requirements.

Our team of researchers utilizes exhaustive primary research and secondary methods to gather precise and reliable information. Our analysts cross-verify facts to ensure validity. We are committed to offering actionable insights based on our vast research databases.

About Us:

The Insight Partners is a one-stop industry research provider of actionable intelligence. We help our clients in getting solutions to their research requirements through our syndicated and consulting research services. We specialize in industries such as Semiconductor and Electronics, Aerospace and Defense, Automotive and Transportation, Biotechnology, Healthcare IT, Manufacturing and Construction, Medical Devices, Technology, Media and Telecommunications, Chemicals and Materials.

[latest-info]

The Role of Technology in Unveiling Knowledge Horizons

Introduction In today’s rapidly evolving world, technology plays a pivotal role in reshaping the horizons of knowledge. The unprecedented pace at which technology advances enables us to access, analyze, and disseminate information like never before. This article delves into how technology is unveiling new knowledge horizons, transforming education, research, communication, and societal…

[ellipsus-writes]

Back when we started Ellipsus (it's been eighty-four years… or two, but it sure feels like forever), we encountered generative AI.

Immediately, we realized LLMs were the antithesis of creativity and community, and the threat they posed to genuine artistic expression and collaboration. (P.S.: we have a lot to say about it.)

Since then, writing tools—from big tech entities like Google Docs and Microsoft Word, to a host of smaller platforms and publishers—have rapidly integrated LLMs, looking to capitalize on the novelty of generative AI. Now, our tools are failing us, corrupted by data-scraping and hostile to users' consent and IP ownership.

The future of creative work requires a nuanced understanding of the challenges ahead, and a shared vision—writers for writers. We know we're stronger together. And in a rapidly changing world, we know that transparency is paramount.

So… some Ellipsus facts:

We will never include generative AI in Ellipsus.

We will never access your work without explicit consent, sell your data, or use your work for exploitative purposes.

We believe in the strength of creative communities and the stories they tell—and we want to foster a space in which writers can connect and tell their stories in freedom and safety—without compromise.

[bitnest]

In the current rapidly evolving digital currency market, decentralized finance (DeFi) platforms are redefining the shape of financial services with their unique advantages. Bit Loop, as a leading decentralized lending platform, not only provides a safe and transparent lending environment, but also opens up new passive income channels for users through its innovative sharing reward system.

Personal links and permanent ties: Create a stable revenue stream One of the core parts of Bit Loop is its recommendation system, which allows any user to generate a unique sharing link when they join the platform. This link is not only a “key” for users to join the Bit Loop, but also a tool for them to establish an offline network. It is worth noting that offline partners who join through this link are permanently tied to the recommender, ensuring that the sharer can continue to receive rewards from the offline partner’s activities.

Unalterable referral relationships: Ensure fairness and transparency A significant advantage of blockchain technology is the immutability of its data. In Bit Loop, this means that once a referral link and live partnership is established, the relationship is fixed and cannot be changed. This design not only protects the interests of recommenders, but also brings a stable user base and activity to the platform, while ensuring the fairness and transparency of transactions.

Automatically distribute rewards: Simplify the revenue process Another highlight of the Bit Loop platform is the ability for smart contracts to automatically distribute rewards. When the partner completes the circulation cycle, such as investment returns or loan payments, the smart contract automatically calculates and sends the corresponding percentage of rewards directly to the recommender’s wallet. This automatic reward distribution mechanism not only simplifies the process of receiving benefits, but also greatly improves the efficiency of capital circulation.

Privacy protection and security: A security barrier for funds All transactions and money flows are carried out on the blockchain, guaranteeing transparency and traceability of every operation. In addition, the use of smart contracts significantly reduces the risk of fraud and misoperation, providing a solid security barrier for user funds. Users can confidently invest and promote boldly, and enjoy the various conveniences brought by decentralized finance.

conclusion As decentralized finance continues to evolve, Bit Loop offers a new economic model through its unique recommendation system that enables users to enjoy highly secure and transparent financial services while also earning passive income by building and maintaining a personal network. Whether for investors seeking stable passive income or innovators looking to explore new financial possibilities through blockchain technology, Bit Loop provides a platform not to be missed.

[firoz857]

DebitMyData Custom Logo and Facial Recognition-You Are the Product! Get Paid for Your Data!

Welcome to the official YouTube Channel of DebitMyData! Debit My Data is your ultimate hub for understanding our groundbreaking peer-to-peer platform that's redefining the crypto space. With our platform, we merge the power of cryptocurrency and Non-Fungible Tokens (NFTs), all driven by advanced technology to innovate digital transactions and content sharing. From insightful tutorials on creating your custom logo or facial recognition NFTs, to deep dives into our unique Proof of Work (PoW) and Proof of Future (PoF) strategies, our channel is your one-stop guide. We aim to equip you with the right knowledge to fully engage with all the possibilities DebitMyData offers. If you are a content creator looking to monetize your NFTs, an advertiser aiming for impactful reach, a crypto enthusiast keen to learn more, or someone intrigued by the potential of digital finance, we invite you to join us on this thrilling journey. Don’t forget to subscribe and tap the bell icon to stay updated on our latest videos and announcements.

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tage:

[aminul857]

DebitMyData Custom Logo and Facial Recognition-Quantum-Computing-Bridge

Welcome to the official YouTube Channel of DebitMyData! Debit My Data is your ultimate hub for understanding our groundbreaking peer-to-peer platform that's redefining the crypto space. With our platform, we merge the power of cryptocurrency and Non-Fungible Tokens (NFTs), all driven by advanced technology to innovate digital transactions and content sharing. From insightful tutorials on creating your custom logo or facial recognition NFTs, to deep dives into our unique Proof of Work (PoW) and Proof of Future (PoF) strategies, our channel is your one-stop guide. We aim to equip you with the right knowledge to fully engage with all the possibilities DebitMyData offers. If you are a content creator looking to monetize your NFTs, an advertiser aiming for impactful reach, a crypto enthusiast keen to learn more, or someone intrigued by the potential of digital finance, we invite you to join us on this thrilling journey. Don’t forget to subscribe and tap the bell icon to stay updated on our latest videos and announcements.

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🔹🔹🔹Please Subscribe to My Channel: https://www.youtube.com/@DebitMyData

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👉👉 Request to watch top 6 videos of my channel ….. 👇👇

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