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

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5 years ago

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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.

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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.

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Press Release

AI Risks to Enter 60–80% of Liability and Cyber Insurance Underwriting by 2028, ScienceSoft Predicts

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46 minutes ago

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September 10, 2026

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McKinney, USA, September 10th, 2026, FinanceWire

ScienceSoft has released proprietary research on how midsize US insurers will address artificial intelligence (AI) risks in coverage and underwriting through 2028. Drawing on insurance market data, perspectives from industry experts, and ScienceSoft’s experience working with insurance organizations, the research examines whether growing AI-related losses will lead to a new class of AI-specific insurance.

The research forecasts that by 2028, 60–80% of new policies and renewals in errors and omissions (E&O), directors and officers (D&O), employment practices liability (EPL), and cyber insurance will factor AI risks into underwriting. However, ScienceSoft expects most midsize US insurers to continue covering AI risks primarily through existing lines of business rather than standalone AI policies. The research team anticipates AI-specific insurance to grow rapidly but remain a small niche in the commercial insurance market.

ScienceSoft finds that demand for clearer AI coverage is rising alongside AI-related incidents. The research points to a 262% rise in publicly documented AI incidents from 2022 to 2025 and highlights businesses are showing strong interest in protection against emerging liabilities associated with AI. Insurers take several approaches to making AI treatment more explicit, including affirmative policy wording, AI exclusions, specialized endorsements, and dedicated AI insurance products.

At the same time, the research reveals that much of today’s AI exposure remains covered through traditional insurance products. ScienceSoft concludes that AI-specific insurance is unlikely to become mainstream by 2028, despite the projected strong market growth (from $40 million in 2024 to $4.8 billion by 2032, at a roughly 80% CAGR). Yet even at that pace, the segment is projected to account for only around 0.34% of commercial P&C premiums by 2032. The research team expects unclear liability attribution, accumulation risk, limited loss history, and regulatory uncertainty to continue slowing the development of dedicated AI coverage.

The research findings suggest that underwriting will adapt considerably faster than coverage. ScienceSoft finds that insurers are beginning to assess not only whether businesses use AI but also how AI systems are governed, what level of autonomy they have, and what controls organizations have in place. The research team expects these factors to increasingly influence premiums, coverage conditions, and risk control requirements through 2028.

Beyond its market forecast, the research examines what these changes mean for insurers, brokers, commercial insurance customers, AI software providers, regulators, and individuals. In particular, it explores how insurers may need to adapt underwriting and claims processes, why insureds may increasingly require broker services as AI-specific insurance develops, and why AI vendors may become one of the main customer groups for AI liability insurance.

Read the full report for more insights.

About ScienceSoft

ScienceSoft is a Texas-headquartered AI transformation and software engineering company with 37 years of experience in artificial intelligence and 14 years in insurance IT. The company holds the 2025 Global Award for Insurance Digital Transformation Excellence and the 2026 AI Leader Award for Best AI Solution for Insurance. With long-standing experience across AI and insurance technology, ScienceSoft’s experts bring a practical perspective on how emerging AI risks may affect insurers’ operations, technology, and the broader market.

Press Inquiries Welcome

ScienceSoft’s consultants and financial researchers are available to provide expert commentary on AI-related commercial risks and emerging, technology-enabled approaches to AI risk coverage and underwriting. For media inquiries, please follow the link.

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Media and Analyst Relations Specialist
Alexa Tsviatkova
ScienceSoft
adtsviatkova@scnsoft.com

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Chicago’s De’Elegance Private Car Service Celebrates 28 Years in Business by Rebranding as ChauXure

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46 minutes ago

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September 10, 2026

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Oldest Black-owned, veteran-owned, woman-owned business of its kind in Chicago builds on its reputation for delivering exceptional experiences

CHICAGO—Sept. 9, 2026—De’Elegance, Chicago’s oldest Black owned, veteran-owned, woman-owned private car service, is celebrating its 28th year in business by rebranding as ChauXure and expanding its fleet of luxury cars. Founded in 1998 by Marie Guyton, an Air Force veteran, ChauXure is renowned for delivering exceptional experiences. By branding itself as ChauXure (Show Sure), the company is emphasizing its reputation for precision, reliability, and consistency.

“After almost 30 years in business, we felt it was time to update our brand to reflect the values that we have long embodied as a business,” explained Guyton, who was honorably discharged from the Air Force in 1990. “We work in high-demand environments where timing and execution cannot vary. Our goal is always to set the standard for service, and ensure that every experience reflects professionalism, punctuality, and attention to detail.”

ChauXure handles executive, airport, and group travel. Clients run the gamut from individuals to corporate clients and large-scale events such as the Indy 500, PGA, and WBNA. While based in Chicago, ChauXure frequently operates on a national basis, such as in the case of the SuperBowl and the NFL Draft. 

As part of its rebrand and anniversary observance, ChauXure has invested in expanding its fleet of Lincoln Navigators and Mercedes Sprinter vans. The latter can carry up to 14 passengers in luxury style. 

 

To learn more or reserve travel, visit https://chauxure.com/, email info@chauxure.com, or call (708) 765-6255. Service is available 24 hours a day, 365 days a year.

Media Contact

Organization: ChauXure

Contact Person: T. Guyton

Website: https://chauxure.com/

Email: Send Email

Contact Number: +17087656255

City: Chicago

State: IL

Country: United States

Release id: 48943

The post Chicago’s De’Elegance Private Car Service Celebrates 28 Years in Business by Rebranding as ChauXure appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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Tribal Launches Campfire, Letting Business and Technical Teams Build on Salesforce Together

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46 minutes ago

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September 10, 2026

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NEW YORK, NEW YORK, September 10th, 2026, FinanceWire

Tribal’s Campfire is a shared canvas that lets enterprises build and change their own Salesforce org at the speed of business, with security, permissions and dependencies intact 

Enterprise-native AI platform Tribal today launched Campfire, a shared, production-grounded workspace that brings business users, architects, security teams, admins, reviewers, and testers into one governed process for building applications on Salesforce (NYSE: CRM).

Salesforce’s move toward Headless 360 is expanding how users, agents, and applications can interact with the platform. For large enterprises, that creates a new challenge: how to let more people build without losing control of the org. 

Campfire replaces disconnected handoffs with one shared workspace where business leaders, architects, security teams, and admins build together. Business leaders define the outcome, architects identify dependencies, security sets the guardrails, and admins turn the approved design into a production-ready solution. Requirements, risks, and decisions stay aligned from idea through deployment.

Every participant works from the same context, grounded in the systems already running in production. Tribal’s Metadata Fabric continuously maps the org’s objects, automations, permissions, business rules, and dependencies. This allows teams to move directly into building instead of spending cycles reconciling conflicting context and assumptions across separate AI tools. 

From there, Campfire turns the shared design into an application built on Agentforce and Omni-Channel, with the agreed workflows and guardrails carried through.

“The biggest bottleneck in enterprise software is not a shortage of ideas. It is everything that has to happen between an idea and production,” said Yoav Kolodner, Co-founder and CEO of Tribal. “Campfire addresses what comes next: how enterprises decide what automations, objects, and AI applications to build, bring the right people into that decision, and move safely into production.”

Campfire is designed to help enterprises retain ownership of their mission-critical Salesforce systems rather than route every change through a central development queue or implementation partner. Because applications are built inside Salesforce, teams retain their existing permissions, governance, and audit controls instead of recreating them in external tools. Campfire applies those guardrails throughout the build process, allowing more people to contribute without compromising the org. 

“The best ideas in a Salesforce org rarely come only from the people with permission to build,” said Uri Pintov, CPO of Tribal. “They come from the people closest to the work, who usually have no way to act on them. Campfire lets those people shape the solution without forcing the enterprise to choose between speed and security.”

For global companies, that model also changes how Salesforce programs scale. ADAMA, a global crop protection company, used Tribal to support its Agentforce rollout across 19 countries. Rather than one central team guessing at what every market needed, or 19 local builds drifting apart, the teams closest to each market shaped their own requirements on a shared foundation, with separation maintained between markets where local requirements called for it. 

“With Tribal, we move significantly faster, iterating quickly and deploying to production with confidence. We’re now able to better serve users in 19 countries while streamlining how they work with data across both new and existing markets,” said Nir Rehav, CIO of ADAMA.

The same holds on everyday enterprise needs. One customer used Campfire to build a commission calculator for its sales team, a project that would normally have required an implementation partner, a six-figure budget and months of work. 

As AI expands who can build inside enterprise systems, the challenge is no longer generating solutions. It is coordinating the people, context, and controls required to deploy them safely. Campfire gives CIOs a way to increase development speed without loosening governance or fragmenting the systems their businesses run on. 

Tribal Campfire is rolling out to customers now. Tribal will demonstrate Campfire during Dreamforce 2026, September 15 to 17, at Moscone Center in San Francisco.

About Tribal

Tribal is an enterprise AI platform that lets companies own their mission-critical systems and manage them at the speed of business. Founded by Wix and Salesforce veterans, Tribal’s Metadata Fabric maps the full org and, with a team of AI agents on top, enables teams to build and change these systems 10x faster inside their existing security guardrails. Tribal supports Salesforce, ServiceNow, Snowflake, and other key enterprise systems of record. 

For more information, visit https://gotribal.ai/.

Salesforce, Agentforce and other Salesforce marks are trademarks or registered trademarks of Salesforce, Inc. 

Contact

PR
Orian Tal
Tribal
orian@thepitch.media

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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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