Press Release
Building a machine network based on blockchain to create a new IoT era
Mankind is entering the era of “connection of all things”
Recently, the Ministry of industry and information technology released the key industries and application scenarios of “5G + industrial Internet”, marking that China’s 5G application has shifted from exploration to promotion. 5G has three characteristics: high speed, low delay and wide connection, which will promote the consumer Internet forward to the industrial Internet, and finally build an intelligent world of “everything connected”.
The essence of industrial Internet is to use information technology to closely connect the equipment, production lines, factories, suppliers, products and customers in the industrial manufacturing industry, which is across the equipment, system, and region, so as to improve efficiency and promote the intellectualization of the whole manufacturing service system. The 5G application scenarios released recently, such as collaborative operation and flexible manufacturing, indicating the importance of industrial Internet to achieve broader and deeper social cooperation. It is through this large-scale cooperation that human civilization makes progress continuously.
Large-scale social cooperation could be divided into two patterns: the first is centralized, with hierarchical “command-feedback” chain and mutual principal-agent relationship as the core characteristics. The typical representatives are government, bureaucratic organizations and military units; the second type is decentralized, represented by market mechanism. There is no central planning or unified coordination. The participants of the mechanism, based on cost-benefit calculation, promote the overall interests through automatic division of labor and exchange. On the social level, the efficiency of decentralized market mechanism is higher than that of centralized command mechanism. In the future mass machine equipment connection (mMTC) network, a decentralized and value exchange based large-scale collaboration among machines can be realized by introducing market mechanism. Therefore, the industrial Internet in the digital era is not only the Internet of factory manufacturing, but also a distributed network and governance structure. All enterprises can safely join this network to realize manufacturing services, integrated innovation and value sharing.
Sharing mechanism in large scale machine cooperation
Although large-scale collaboration between machines has great value potentially, it still faces problems such as privacy protection, trust between agents and higher demand of computing power of large-scale collaboration.
Therefore, the solution design of the industry is to adopt the pattern of “machine network + blockchain”. The role of Cloud in traditional industrial Internet, such as using the smart contract based on the blockchain to realize the value measurement, distribution and settlement of large-scale cooperation. Finally, it would make the large-scale cooperation of cross-border and public affairs more credible and efficient.
1) Effective data confirmation
The reason why blockchain has become the key to the future industrial Internet is that it integrates technologies such as cryptography, peer-to-peer network, consensus mechanism, and forms a new way of data recording, transmission, storage and presentation, so as to construct a decentralized pattern, which can effectively confirm the data rights. In the industrial Internet, the integration of blockchain technology can solve the problem of mutual trust and cooperation among multiple players, as well as the problem of industrial enterprises’ control over their own data.
2) Reducing the transaction cost of multilateral platform
With the development of global market and the subdivision of supply chain, the participation cost of complex business activities is no longer “bilateral”, but “multilateral”, and the establishment of trust relationship is more and more expensive. Blockchain technology can build a peer-to-peer and unified platform for business activities. At the same time, it can significantly reduce one of the trust costs in transaction costs to be commercially feasible. Participants in business activities will move from traditional “bilateral platform” to “multilateral platform”. While scale effect is formed, the trust cost will not increase too much.Finally, it will be superimposed into an ecological effect, forming a viable business model.
3) To solve the problem of Isolated Data Island by privacy computing
Although blockchain can play a significant role in solving trust, cooperation and other problems in industrial Internet, it still has some defects in data value mining and privacy protection. Therefore, blockchain also needs to combine with privacy computing. Privacy computing can not only realize data sharing under privacy protection, ensure the authorization of privavy data, but also prevent malicious eavesdroppers or others from accessing the original data or data calculation results. In the industrial Internet, the core data is still kept in the enterprise. Under the premise of meeting the needs of data privacy security, privacy computing enables enterprises to use massive industrial data more efficiently and accurately, solving the problem of Isolated Data Island. Furtherly, it enhance the value of data in the process of sovereign ownership and rights sharing, and realize the two-way empowerment of various enterprises.
PlatON helps intelligent interconnection of Machine Networks
PlatON is a privacy computing network based on cryptography algorithm. As a global leader in blockchain industry, it can effectively solve the problems about Big Data managemen in the industrial Internet by its existing technical advantages, and provide a safer infrastructure based on privacy protection and edge computing capability. Firstly, PlatOn’s powerful encryption algorithm technology can provide trusted device authentication, multi-channel data transmission and data storage services for industrial Internet, and enhance the security of device system; Secondly, PlatOn’s new computing architecture can make full use of the computing resources of adjacent nodes, provide strong computing support for the industrial Internet, and comprehensively improve the timeliness of services. Finally, PlatOn’s privacy protection and multi-party secure computing (MPC) technology can support collaborative analysis of massive data and integration of diverse scenarios
On April 30, 2021, the PlatON privacy AI computing network obtained the community license with 80.6% support rate, and the current pre-deployment network has officially become the main network. PlatON will gradually establish a multi-agent collaboration and computing network for the future, and promote industrial civilization and human society from “interconnection of all things” to “intelligent connection of all things”.
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
DATA Network joins Sui and Walrus to scale the supply chain for AI training data
Palo Alto, United States, October 12th, 2026, Chainwire
Trace, the onchain registry for rights-cleared AI training data with more than 250 million verifiable receipts, brings its training data to Sui and Walrus to power the next generation of AI models.
Sui Foundation and The DATA Foundation today announced that the DATA Network and its Trace registry are joining the Sui stack, bringing a live supply of rights-cleared AI training data onto the infrastructure Sui has built for AI workloads. Walrus, the data platform with integrity proofs anchored on Sui, becomes the default storage layer for applications operated by DATA Foundation. Separately, the DATA Network will be upgraded to run as a protocol natively on Sui.
The upgrade gives AI labs a single place to source real-world training data they are allowed to use, with its provenance recorded by Trace and the original file stored and access-controlled on Walrus.
The data AI needs next
The next generation of AI models is constrained by access to real-world data. The open internet has been scraped, and the data that comes next must be sourced from people, with consent and with provenance that regulators and legal teams will accept. The EU AI Act and ongoing litigation over training data have made provenance a procurement requirement for labs.
The data those models need sits with people rather than on the open web: a nurse describing a patient’s night in her own words, a dashcam recording of a rainy commute in Jakarta, a factory technician’s hands as they diagnose a fault, or a customer call conducted in Bengali. It is personal and often regulated, and it belongs to the people who generated it.
Trace, launched by DATA Foundation in June as an onchain registry for AI training data, was built for exactly this kind of data. It records the origin of each contribution and the rights attached to it, and settles payment to the person who contributed it. It has registered more than 250 million contributions since launch and now processes over 3M receipts per day on average. Applications writing to Trace include Kled, the largest opt-in human data marketplace with over 1.5 billion records being onboarded, along with Numo and Oto, applications that already license data to frontier AI labs and robotics companies.
Why Sui and Walrus
Sui represents every asset as a programmable object, allowing datasets and their licenses to be managed onchain like tokens. Independent transactions execute in parallel and settle in under a second, making the network capable of handling millions of daily registrations. Walrus extends this capability to large files: it stores massive AI datasets efficiently and ensures data is only readable by licensed buyers. No other network offers storage, access control, and ownership tracking built natively into a single ecosystem, together with verifiable compute.
Trace now adds a flagship supply of rights-cleared data, with existing demand from the AI labs that license it today. The result of the integration will be stronger provenance guarantees and tamper evidence. Today a Trace record proves that a file was registered and when, and with Walrus, Trace will be able to hold an encrypted, immutable copy of the contributed file itself as a reference guarantee. The hash of the record can be regenerated from the data itself rather than from metadata an application supplied, and any later processing of the file can be checked against the original.
The upgrade is backed by a long-term strategic investment. Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, Chairman of Poseidon and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.
The protocol upgrade
DATA Network will be upgraded to run as a protocol natively on Sui, and its independent chain will be retired. $DATA continues as the token of the DATA protocol on Sui, carried over one-to-one, with holder economics and governance rights at least equivalent to today. Locked and vesting positions carry over unchanged. In parallel, Walrus becomes the default storage layer for DATA Foundation applications.
Adeniyi Abiodun, Co-Founder and Chief Product Officer at Mysten Labs, the original contributor to Sui and Walrus, said: “The AI industry has reached the point where the open internet has been read, and the next frontier is defined by access to datasets with the consent and provenance that regulators require. Sui and Walrus were built to be the home where AI data is stored, licensed, and paid for, capable of operating at the scale these systems demand. The migration of DATA Network and Trace to our stack now brings massive volumes of high-quality, rights-cleared data that is already serving the world’s frontier AI labs.”
SY Lee, Chairman of Poseidon and CEO of PIP Labs, said: “The next generation of AI will be trained on data that lives with people rather than on the open web, and that data needs consent and provenance built in, along with a way to pay the people it comes from, and Trace was built to be that layer. It now becomes part of the Sui stack alongside Walrus, backed by one of the strongest engineering organizations in the industry and with Sui Foundation as the network’s largest strategic holder. This is the right home for the network we built, and I am looking forward to helping Sui make it the data layer for AI.”
Andrea Muttoni, CEO of DATA Foundation, said: “Training data is critical for continuously expanding the frontier, and making sure it is traceable, auditable and cleared to use is just as important for AI safety as it is a precursor for data quality. With Trace, we have been tracking hundreds of millions of data assets. Joining forces with Sui now allows us to build out more of the stack, offering more than just an audit trail, like encrypted reference file storage and potentially fully verifiable TEEs for evals and fine tunings in the future.”
The existing DATA Network will continue to operate until the upgrade is complete, and a detailed timeline and holder transition plan will be published prior to the upgrade.
About DATA Foundation
DATA Foundation supports the DATA Network, the protocol for tracking provenance of the real-world data AI models need. Through Trace, each contribution is registered with its provenance receipt and a full audit trail. Applications building on the network include Kled, Numo, Oto, and others. Formerly Story Foundation, the organization refocused on AI training data in June 2026. The DATA Network is being upgraded to run as a protocol on Sui.
About Sui
Sui, where money moves as freely as messages, is a next-generation Layer 1 blockchain built for onchain finance and agentic infrastructure. Founded by the core team behind Meta’s stablecoin initiative and powered by an object-centric model, Sui makes assets, permissions, and user data programmable and verifiable. Sui’s primitives offer everything necessary to create high-performance finance and AI-native applications. Learn more at sui.io.
About Walrus
Walrus is the data platform built for the demands of AI. It lets builders, enterprises, and AI agents move data across apps and models, protect it with built-in access rules, and make it verifiable by anyone. As AI takes actions with consequence, the data it runs on has to be provable. Created by the cryptographers and distributed systems engineers behind Sui and Meta’s first stablecoin initiative. walrus.xyz
Media contacts
DATA Foundation: datafoundation@150bond.com
Sui Foundation: comms@sui.io
Contact
Head of Communications
HV
DATA Foundation
henri.vues@piplabs.xyz
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
The World’s Best Magazine Releases Issue 16 – October 2026 Edition, Excellence in Action

Australia, 10th Oct 2026, Grand Newswire –
The World’s Best Magazine has released Issue 16, the October 2026 edition, under the theme Excellence in Action: Where Knowledge, Leadership and Human Potential Shape a Better Future.
The edition examines leadership, education, wellness, health and human performance, focusing on how knowledge is applied, how learning approaches evolve and how innovation informs professional practice.
Four cover stories address these subjects. Future-Shaping Excellence examines how approaches to excellence respond to changing circumstances and emerging opportunities. Leaders Turn Expertise Into Action considers the application of professional knowledge in leadership and decision-making.
Rethinking How We Learn explores approaches to learning and the role of adaptation in education and development. On Wellness, Health & Human Performance: Ethical and Effective Innovations examines innovation in health and human performance, including the consideration of ethics and effectiveness.
Across its cover stories and interviews, Issue 16 considers how knowledge, experience and learning inform decisions and practices across different fields. The edition brings these subjects together under the theme of applying expertise and developing human capabilities.
The October 2026 edition forms part of The World’s Best Magazine’s coverage of people, ideas and work across professional and creative fields. More details about this announcement can be found via the website of The World’s Best Magazine.
About The World’s Best Magazine
The World’s Best Magazine is a publication featuring interviews, articles and cover stories about people, ideas, work and developments across a range of fields. Its editorial coverage includes leadership, education, business, health, creativity and human potential. The magazine publishes editions that examine the experiences, practices and ideas shaping professional and creative activities.
Media Contact
Organization: The World’s Best Magazine
Contact
Person: The World’s Best Magazine
Email:
info@theworldsbestmagazine.com
Country:Australia
The post The World’s Best Magazine Releases Issue 16 – October 2026 Edition, Excellence in Action
appeared first on Grand Newswire.
It is provided by a third-party content provider. Grand Newswire makes no
warranties or representations in connection with it.
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
Press Release
Malmö Project Outlines Business Proposal Development and Project Funds Management Activities in the Netherlands
Netherlands, 10th Oct 2026 — The Malmö Project, presented by Audrius Razma under the Project Funds Manager designation at Ossendrecht Contract, outlines an approach to business project proposal development, investment-related research, and the coordination of professional support services. The initiative is documented on the project’s online platform, where readers can explore its stated objectives and the resources associated with its activities.
The project information is published on the website of Audrius Razma and references Malmö as the focus of its business proposal activities. It describes the use of publicly available company information to develop commercial project proposals that may be presented to businesses for consideration and potential financing.
Business Research and Project Proposal Development
A central element of the Malmö Project is the preparation of business proposals informed by company information. The published material encourages readers to examine lists of businesses identified as potential investment opportunities and use relevant information to develop structured project proposals.
Business proposal development typically involves understanding a company’s activities, identifying potential commercial opportunities, assessing resource requirements, and presenting a clear rationale for a proposed initiative. A well-organized proposal can help prospective business partners evaluate the purpose, feasibility, and expected costs of a project before deciding whether to participate.
The project’s stated approach places emphasis on commercial awareness and the preparation of written material based on available business information. Such work requires careful research, transparent assumptions, and clear documentation of any projected financial outcomes.
Companies and individuals considering a proposal should independently verify the information used, assess the associated risks, and establish the terms of any potential funding arrangement before making financial commitments.
The Role of Project Funds Management
Audrius Razma is identified in the published material as the Project Funds Manager associated with Ossendrecht Contract. The role provides an administrative framework for the project’s discussion of funding proposals, portfolio documentation, and financial coordination.
Project funds management generally involves organizing financial records, documenting proposed allocations, monitoring project-related expenditures, and maintaining information that supports financial reviews. These activities can help stakeholders understand how a project is structured and what resources may be required for its implementation.
Clear documentation is particularly important when proposals involve multiple companies, external service providers, or prospective funding partners. Written agreements, verifiable records, and clearly defined responsibilities can help establish expectations and support informed decision-making.
Professional Support and Documentation
The online material also references professional services relating to legal assessments, translation, accounting reviews, investigative research, and the preparation of supporting reports. These services are presented as potential resources for individuals seeking assistance with complex administrative, financial, or legal matters.
Depending on the circumstances, professional support may help individuals organize documents, understand procedural requirements, review financial information, or prepare materials for consultation with qualified advisers.
Legal matters involving compensation claims, business liabilities, insolvency, or disputes with public authorities require an assessment of the relevant facts and applicable law. Outcomes depend on the evidence, jurisdiction, and individual circumstances. Individuals should therefore seek advice from appropriately qualified professionals before relying on potential compensation estimates or pursuing legal action.
Similarly, investment proposals should be reviewed carefully, with attention to the identity of the parties involved, the source and availability of funds, the proposed terms, and any associated risks.
Accessing Information About the Malmö Project
The project page provides the primary reference for readers interested in reviewing the Malmö Project’s published information. It outlines the proposal-development concept and identifies the associated project-management contact.
The initiative is presented in the context of business research, funding-related documentation, and coordination with professional service providers. Its practical application will depend on the details of individual proposals, the reliability of supporting information, and the terms agreed upon by the relevant parties.
Readers can consult the published page to learn more about the project’s stated approach and determine whether further clarification is required before entering into any business or financial arrangement.
Project Contact Information
Project: Malmö Project
Position: Project Funds Manager
Organization: Ossendrecht Contract Hiroshima Office Press Dansk Systems Syndikat Inc Roosendaal Journaal
Contact Person: Audrius Razma
Email: razmaaudrius@yahoo.com
Country: Netherlands
Website: https://tomashelpiai.blogspot.com/2026/08/niet-40.html
Media Contact
Organization: Ossendrecht Contract Hiroshima Office Press Dansk Systems Syndikat Inc Roosendaal Journaal
Contact Person: Audrius Razma
Website: https://tomashelpiai.blogspot.com/2026/08/niet-40.html
Email: Send Email
Country: Netherlands
Release id: 49837
View source version on King Newswire:
Malmö Project Outlines Business Proposal Development and Project Funds Management Activities in the Netherlands
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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.
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