Connect with us

Press Release

Platon Aims To Become The Public Infrastructute Of Privacy Computing To Open Up Business Prospects For The Crypto Space

Published

5 years ago

on

In the Information Age, Data Becomes a New Factor of Productivity

In economics, factors of production, also known as production inputs, are essential resources for the production of goods and services. In his epochal work “Principles of Economics”, famous British economist Marshall put forward the theory of four factors of production — land, labor, capital and entrepreneurial talent. National income (NI) is the reward of four factors, and that is, national income (NI) = labor wage (w) + land rent (r) + capital interest (i) + operating profit (π). This “four-in-one formula” sums up the core of western economic production theory and distribution theory, which has been widely accepted for more than a century.

However, factors of production are a historical category that evolves with the development of economy and society. The birth and development of the Internet has changed the mode of production, life and consumption, and it promoted many important and profound changes, and played an increasingly important role in economic development, social life and national governance. The full exploitation and effective utilization of all kinds of data has raised production efficiency to an unprecedented level. Data has become an indispensable factor in economic activities and a new generation of production factors after land, energy, population and food.

Table – Production Factors at Different Stages

Privacy Brings Data Dilemma and MPC Realizes Data Collaborative Computing

Nowadays, people have already extended their social activities to the network space. Every day, people contribute data continuously to the network space. A large amount of data is collected, calculated, analyzed, excavated and this goes beyond the original data level of information value.

However, because of the plain text nature of the data, the owner loses ownership of the data once the data is granted to others for use. Therefore, to ensure the privacy protection of data, a huge amount of data managed by enterprises cannot be exchanged and co-calculated with the data held by other enterprises, which is why a large number of data cannot generate value.

The emergence of privacy computing ends this dilemma. Yao Qizhi, a member of the Chinese National Academy of Sciences, proposed secure multi-party computing (MPC) in 1982. In a nutshell, participants have to enter information to calculate an agreed function. In addition to the accuracy of the calculations, they must also protect the privacy of each participant’s input data. Specifically, there are now n participants, each of whom, xi, is aware of the xi they entered, who together calculate a pre-agreed function f (x1 ,…, xn) = y. In this way, all participants will get the final y value, but they will not be able to know the specific data entered by the other participants. Thus, with local data not aggregated and privacy not divulged, each party can still achieve a common desired result by performing the operations of the given logic.

Privacy computing opens up huge business prospects for the digital world (Crypto Space)

Bitcoin’s pioneering combination of virtual currencies and peer-to-peer payment systems open the door to decentralization. With the introduction of intelligent contract function, Ethernet has greatly improved the scalability of blockchain, and all kinds of applications can be deployed on blockchain. Because of these characteristics, early public blockchain networks such as Bitcoin and Ethernet have been developed, attracting a large number of blockchain and encryption enthusiasts in the world, and many traditional institutions have been entering the area of blockchain, exploring various possibilities of decentralization.

The combination of privacy computing and blockchain is expected to put data ownership back in the hands of data producers, meaning that vast amounts of data can be counted without affecting privacy and ownership, so that the owners can profit and data can burst out with greater value. Therefore, the blockchain project based on privacy calculation is naturally suitable for the commercial practice in the fields of financial, medical, scientific research, government affairs, and logistics and so on.

“Operator” PlatON network for blockchain data

PlatON, the representative project of the combination of privacy computing and blockchain currently, is based on the basic attribute of blockchain and is supported by privacy computing network, and provides the next generation Internet infrastructure protocol with the core characteristics of “computing interoperation”. PlatON’s vision is to become the public infrastructure for privacy computing of the next generation, publishing privacy computing algorithms through contracts, and implementing MPC protocols with data providers and computing nodes for privacy protection requirements, so as to realize cooperative computing of data. PlatON, designed to price data flows, is all about computing and data, which is the most fundamental part of future human production. PlatON can achieve large-scale application landing and commercial scenario implementation:

For example:

I. Build a wider credit collection network. The public chain that provides private computing can provide user with customizable computing logic template and multi-party access mode, and in the case that the access party’s data does not need to be collected and shared, only the credit inquiry results are output to the demander, and the original data can be encrypted and stored in the blockchain system to meet all kinds of audit needs.

II. Supply chain financial infrastructure. The public chain of private computing is based on blockchain technology and cryptography algorithm, which can provide a platform solution for supply chain finance to digitally identify, process and transfer assets. Construct a new financial financing model of supply chain in which the information of the upstream and downstream enterprises can be shared symmetrically, the credit value of the core enterprises can be transmitted, the business tickets can be split and the risk can be controlled, and provide convenient data traceability for the supervision and enhance the service efficiency of the industry as a whole.

To build the public infrastructure for the digital age, PlatON continuously optimizes technology, iterates the underlying infrastructure, and breaks through the “impossible triangle” in terms of performance. “Impossible triangle” means that it is difficult to achieve both a good “decentralization” and a good “security” of the system in a blockchain and a high “transaction processing performance” at the same time. The most well-known blockchain projects in the industry are Bitcoin, Ethernet, and EOS. At present, using native Token transfer performance test method and EOS under the same testing conditions, PlatON has achieved a comprehensive performance leader in the quasi-real environment, and will continue to focus on the data field and accelerate the construction of data market.

About Author

Alex Jacob

Alex Jacob is a literature author. He was born in Chicago. Alex passion is writing news articles. He writes number of articles and published it.

See author's posts

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.

Related Topics:
Continue Reading

Press Release

Adam Weitsman Backs Unserious in their Acquisition of Creepz and Psychrome homecoming

Published

51 minutes ago

on

July 22, 2026

By

Miami, United States, July 22nd, 2026, Chainwire

Unserious today announced the acquisition of Creepz, one of the most recognizable NFT collections of the 2021-22 cycle. Backed by entrepreneur and investor Adam Weitsman, and with the support of the original founders, the deal places the lizard cult brand under a powerhouse new team.

Most importantly, the acquisition marks a homecoming for Psychrome – the original mastermind and creative genius behind the Creepz lore. Returning to lead IP development, he also brings a resume as a globally exhibited artist whose commercial collaborations span Nike, Salomon, Sneaker Con, Staple, Disney, Warner Bros., and Rovio.

Beyond this foundational creative leadership, the Unserious team brings deep operating experience with a track record spanning consumer brands, entertainment, and enterprise tech, alongside crypto’s largest token launches – including the historic ApeCoin.

Unserious also took the opportunity to formally deny the existence of lizard people, their alleged evil activities, and any plans for $CREEPZ world domination.

About Unserious

Unserious is reimagining the future of decentralized brands.

Contact

Acquirer
Unserious
Unserious
contact@unserious.inc

About Author

Cloud PR Wire

See author's posts

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.

Continue Reading

Press Release

Mandela Digital Announces $5 Million Investment From Datavault AI

Published

2 hours ago

on

July 22, 2026

By

Laramie, Wyoming, July 22nd, 2026, FinanceWire

Mandela Digital today announced a $5 million investment from Datavault AI and the launch of its official digital website at www.mandela.digital.

Datavault AI Commits $5 Million and Technology Platform to Support Mandela Dollar

Datavault AI Inc. has committed and begun deploying $5 million in funding to Mandela Digital. The investment will accelerate the development and launch of the Mandela Dollar (MUSD), a 1:1 USD-backed stablecoin designed to promote financial inclusion, remittances, and digital payments across the Global South and beyond.

Mandela Digital combines institutional-grade financial infrastructure with the moral authority of the Mandela name to address the needs of the billions of people globally who remain unbanked or underbanked.

Under the agreement, Datavault AI’s investment will support stablecoin infrastructure, regulatory compliance, exchange integrations, liquidity, and go-to-market initiatives. As the primary technology partner, Datavault AI will also provide its patented AI platforms, blockchain tokenization expertise, SanQtum quantum-resilient encryption, and real-world asset (RWA) frameworks to power MUSD’s issuance, redemption, compliance, and on-chain transparency.

Key Highlights

  • $5 million investment by Datavault AI Inc. (NASDAQ: DVLT) into Mandela Digital.
  • Full deployment of Datavault AI’s technology stack, including AI-driven platforms, tokenization patents, quantum-secure encryption, and RWA infrastructure.
  • Launch of the Application Stage of the Early Access Programme, which will remain open for a symbolic 67-day window starting on Nelson Mandela International Day 2026, honoring the 67 years Nelson Mandela spent fighting for human rights, equality and social justice. 
  • Official website www.mandela.digital now live as the central global hub for the initiative.

Mandela Digital Launches Official Digital Home

www.mandela.digital

The new website at www.mandela.digital serves as the venture’s primary global hub, offering stakeholders transparent information, official updates, and resources. It follows the recent opening of applications for the Mandela Dollar Early Access Programme on Nelson Mandela International Day.

Key sections of the website will be updated periodically to include details on the MUSD framework, reserves and audits, governance, the Early Access Programme for financial institutions and intergovernmental organizations, partnership information, and educational resources aligned with Nelson Mandela’s values of economic empowerment.

Quotes

Mustaq Patel, Chairman, Mandela Digital: “I conceived the Mandela Dollar to solve what the industry has long failed to deliver: a stablecoin that combines institutional architecture with genuine moral authority. Technology without trust is a commodity; trust without infrastructure is insufficient. Datavault AI’s $5 million investment and full technology deployment under a signed legal agreement mark the transition from vision to construction. www.mandela.digital represents our commitment to transparency and accessibility as we build serious financial infrastructure for the Global South and beyond.”

Zaziwe Dlamini-Manaway, Director, Mandela Digital “My grandfather measured progress by its impact on people’s daily lives — whether families could thrive, young people could build futures, and workers could preserve the value of their labor. Mandela Digital, brought to us by Mustaq Patel and now supported by Datavault AI’s capital and technology under formal agreement, carries that vision forward with clarity and seriousness of purpose. The Mandela name stands for what endures, and we are confident this initiative is built to last.”

About Mandela Digital

Mandela Digital is the U.S.-headquartered Joint Venture developing the Mandela Dollar (MUSD), a 1:1 USD-backed stablecoin engineered to institutional standards. The initiative aims to expand reliable U.S. Dollar-denominated financial access across Africa, Southeast Asia, Latin America, and beyond.

Caution Regarding Unauthorized Tokens

The Mandela Dollar (MUSD) is currently in development and not yet live on any blockchain or exchange. Mandela Digital has not authorized any token sale, pre-sale, ICO, IEO, or similar offering. The public is advised to exercise extreme caution against any unauthorized tokens, websites, or individuals claiming to represent MUSD or Mandela Digital. Suspected fraudulent activity should be reported to legal@mandela.digital. All verified information is available exclusively at www.mandela.digital.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of U.S. federal securities laws. These statements are based on current expectations and are subject to risks and uncertainties, including regulatory developments, technology timelines, market conditions, and other factors that may cause actual results to differ materially. Neither Datavault AI nor Mandela Digital undertakes any obligation to update forward-looking statements except as required by law.

Nothing in this release constitutes an offer to sell or solicitation to buy any security or digital asset.

Contact

Chairman
Mustaq Patel
Mandela Digital
PR@mandela.digital

About Author

Cloud PR Wire

See author's posts

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.

Continue Reading

Press Release

Former Marine Engineer Turned Supply Chain Executive Releases “From Engines to Algorithms,” Charting a New Framework for Operational Constraints

Published

2 hours ago

on

July 22, 2026

By

Los Angeles, California, 22nd July 2026 — Niraj Jha, Senior Director of Logistics at Niagara Bottling LLC, the largest privately held beverage company in the United States, has released From Engines to Algorithms, a book drawing on his uncommon path from licensed marine engineer to supply chain leader to explain why technology does not make operational bottlenecks disappear, they just relocate them.

Jha spent four years at sea as a marine engineer before moving into logistics and manufacturing operations, a transition that forms the spine of the book. The title itself signals the arc: from the mechanical world of ship engines, where a single failed component can strand a vessel, to the algorithmic systems now running modern supply chains, where the failure points are just as real but far less visible.

At the center of the book is Jha’s “Law of Constraint Migration,” a framework he has developed over years of running manufacturing and logistics operations across dozens of plants and thousands of weekly truckloads. The core argument: every time an organization fixes its most visible bottleneck with technology , the constraint does not vanish, it migrates to the next weakest point in the system. Leaders who treat constraint-fixing as a one-time project, rather than a permanent discipline, end up chasing the same problem in a different disguise year after year.

“Systemic failure does not happen because of one big catastrophic event,” Jha said. “It starts with leaders having a static approach to problem solving , where this fix one constraint using technology and then move on without understanding where the constraint has moved.”

That principle was shaped in part by direct experience. Jha’s early engineering career included firsthand exposure to the operational and mechanical failure chains that can escalate quietly before becoming visible incidents, lessons he has carried directly into how he now evaluates risk in logistics networks spanning multiple plants, carriers, and third-party providers.

Since moving into supply chain leadership, Jha has held roles from plant director to his current position overseeing logistics strategy across a multi-state region, and is now deeply involved in Niagara Bottling’s AI strategy for manufacturing and supply chain operations. He holds several patents in manufacturing and supply chain technology, including three granted US patents around direct to store shipments, and has deployed AI-driven systems for automated palletizing, dynamic shipping, and operational incident handling.

From Engines to Algorithms is written for operators, not theorists. Jha’s stated approach throughout is practitioner credibility over metaphor: fewer abstractions, more direct account of what breaks in real operations and why. The book avoids the hedge-everything tone common in management literature in favor of decision-oriented conclusions.

Jha is a member of CSCMP’s Executive Inner Circle, an invitation-only group of senior supply chain executives, as well as the member of the World Economic Forum  and the Fast Company Executive Board. He has been featured as a keynote speaker in multiple industry forums and his writing has appeared in Beverage digest, supply chain management review, SupplyChainBrain, Fast Company, and other trade publications, and he continues to publish ongoing analysis on constraint migration, AI economics, and supply chain strategy through his Substack and LinkedIn.

From Engines to Algorithms is available now. Readers can learn more and find purchasing details at enginestoalgorithms.com.

About the Author

Niraj Jha is Senior Director of Logistics at Niagara Bottling LLC, where he is deeply involved in the company’s AI strategy for manufacturing and supply chain operations. A licensed marine engineer by training, he spent four years in deep-sea service before transitioning into supply chain and operations leadership, where he has spent sixteen years in various leadership roles. He holds several patents in manufacturing and supply chain technology and developed and conceptualized the Law of Constraint Migration.

Media Contact Visit enginestoalgorithms.com for more information.

About Author

Cloud PR Wire

See author's posts

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.

Continue Reading

LATEST POST

Like Us
Follow Us
Subscribe Us
Follow Us