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

Widgets & Web Launches AI-Operated Investor Relations Websites for Public Companies at a Fixed $299 per Month

Published

1 hour ago

on

October 24, 2026

By

Miami, Florida, United States, October 24th, 2026, FinanceWire

Widgets & Web, the investor relations website provider trusted by more than 500 public companies, SPACs, and IPO-stage firms, today announced AI-operated investor relations websites: complete, custom IR sites designed, built and maintained through AI-driven operations, at a single fixed price of $299 per month, billed annually at $3,588. The company says its operations run entirely on AI with zero employees, an operating model it describes as a first for the investor relations website industry.

Every site includes live stock price data, automated SEC filings from EDGAR, press release feeds, investor email alerts, corporate governance pages, and presentations and events sections. Sites are built for ADA and WCAG compliance, with an accessibility widget on every page. The subscription covers design, hosting, security monitoring, and unlimited updates and support, with no setup fees, no design fees, and no per-change charges.

Every site is built, hosted, maintained and controlled on Widgets & Web’s own proprietary platform: no WordPress, PHP, third-party content management systems or plugin dependencies to maintain. The company says this removes the upkeep and plugin maintenance that come with third-party platforms.

“Public companies have spent decades paying agency retainers and five-figure design bills for websites their investors visit for one thing: accurate, current information,” said Steve Yakubov, CEO and co-founder of Widgets & Web. “We build the entire IR site, keep every feed live around the clock, and deliver it at a price any issuer can approve in one meeting.”

Widgets & Web delivers the first draft of a new IR website within 24 hours of sign-up. Each IR site runs on a dedicated subdomain managed by Widgets & Web.

About Widgets & Web

Widgets & Web is a Miami-based investor relations website provider for public companies, SPACs and IPO-stage firms. The company designs, hosts and manages IR websites on its own proprietary platform, with automated SEC filing and press release feeds, live stock data, governance pages and investor email alerts, and has served more than 500 public companies. Learn more at www.widgetsandweb.com.

Contact

CEO and co-founder
Steve Yakubov
Widgets & Web
production@ir365connect.com
786-263-9007

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

Thomas Berkley and Nexus Acquisition Group Outline AI Agency Partnership Approach in Cleveland

Published

3 hours ago

on

October 24, 2026

By

United States, 24th Oct 2026— Thomas Berkley, founder of Nexus Acquisition Group, is advancing a partnership-focused approach to developing and operating artificial intelligence-powered agency businesses. Based in Cleveland, Ohio, the company works with a limited number of individuals, combining business-specific assessment, infrastructure development, and ongoing operations to establish AI-powered agency businesses.

As artificial intelligence becomes increasingly integrated into business operations, entrepreneurs are exploring ways to build companies around technology-enabled services. Nexus Acquisition Group addresses this opportunity through a model that extends beyond standalone software or technology implementation, with the company working directly alongside partners throughout the development and operation of their businesses.

The company’s approach centers on three stages: assess, build, and operate. Each engagement begins with evaluating the systems required for a specific business, continues with developing the necessary infrastructure, and extends into ongoing operations alongside the partner. This framework provides a defined process for individuals interested in building an agency business around AI-powered capabilities.

Thomas Berkley Leads Nexus Acquisition Group’s Partnership Model

Thomas Berkley founded Nexus Acquisition Group with a focus on building and operating AI-powered agency businesses through direct collaboration with partners. His background includes service in the United States Air Force and experience with AI-driven business systems and agency operations.

Berkley’s involvement is a central part of the company’s model. Rather than limiting its role to an initial consultation or infrastructure setup, Nexus Acquisition Group works with partners throughout the engagement. This continued involvement connects business planning, system development, and operational execution within a single working relationship.

For entrepreneurs evaluating Nexus Acquisition Cleveland, the company’s Cleveland base and its defined partnership process provide a starting point for understanding how engagements are structured. The company works with partners across the United States, with individual arrangements determined by the requirements of each business.

Nexus Acquisition AI Agency Program Follows a Three-Stage Framework

The Nexus Acquisition AI agency program is structured around assessing business requirements, building operational infrastructure, and supporting ongoing business activity. The process is designed to account for the specific needs of each agency rather than applying an identical technical setup to every engagement.

During the assessment stage, the company evaluates the systems needed to support the proposed business. This step helps establish the operational requirements and identify the infrastructure necessary for the agency’s intended activities.

The build stage focuses on developing that infrastructure. Depending on the requirements of the business, relevant systems may include AI-driven voice and messaging tools, customer relationship management platforms, and client acquisition systems. The objective is to establish the operational foundation needed to run the agency.

The third stage involves ongoing operation. Nexus Acquisition Group continues working with the partner after the initial infrastructure has been developed, maintaining a collaborative relationship as the business operates. The scope and duration of this work depend on the individual engagement.

By connecting these stages, the company approaches agency development as an ongoing business process rather than a one-time technology installation.

A Collaborative Structure for AI Agency Development

Building an agency around artificial intelligence involves more than selecting tools. Business owners must also consider how technology fits into their workflows, how systems are maintained, and how day-to-day operations are organized. A coordinated approach can help bring these requirements into a more consistent operating framework.

Nexus Acquisition Group’s model places collaboration at the center of this process. Partners work directly with the company’s team from the initial build through ongoing operation, while the systems and engagement structure are tailored to the particular business.

This approach may be relevant to individuals exploring AI-powered agency ownership who prefer a working relationship that includes both infrastructure development and operational involvement. Rather than presenting its services solely as access to software, the company describes its role as building and operating agency businesses in partnership with a limited number of individuals.

The model also recognizes that the requirements of an agency can differ according to its business objectives and operating needs. For this reason, engagements are structured individually, with the scope, terms, and timeline defined through an agreement between the company and the partner.

Nexus Acquisition Agency Partnership Opportunities

A Nexus Acquisition agency partnership provides a framework for discussing the development and operation of an AI-powered agency business. The company’s approach brings together assessment, implementation, and continuing operational involvement, allowing the parties to establish expectations before proceeding with an engagement.

For prospective partners, understanding the structure of the relationship is an important part of evaluating an opportunity. Nexus Acquisition Group outlines its process through its website, where interested individuals can review the company’s approach, learn about its founder, and contact the team to discuss a potential engagement.

The company does not describe every partnership as having identical requirements. Instead, its process is designed to reflect the systems needed for the specific business and the responsibilities agreed upon by the parties.

As AI-enabled services continue to create new possibilities for business development, Nexus Acquisition Group remains focused on connecting technology infrastructure with practical agency operations. Led by Berkley, the company continues to build its approach around direct partner involvement and an ongoing operational relationship.

Individuals interested in learning more about the company’s model can visit Nexus Acquisition Group to review its process and inquire about potential partnership opportunities.

About Nexus Acquisition Group

Nexus Acquisition Group is a Cleveland, Ohio-based company that builds and operates AI-powered agency businesses in partnership with a limited number of individuals. Founded by Thomas Berkley, the company follows an assess, build, and operate framework, working directly with partners from initial infrastructure development through ongoing operations. Its engagements are individually structured according to business requirements, scope, terms, and timeline.

Media Contact

Organization: Nexus Acquisition Group

Contact Person: Thomas Berkley

Website: https://nexusacquisitiongroup.com/

Email: Send Email

Address: Cleveland, Ohio, United States

Country: United States

Release id: 50182

View source version on King Newswire:
Thomas Berkley and Nexus Acquisition Group Outline AI Agency Partnership Approach in Cleveland

file

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

Thomas Berkley of Nexus Acquisition AI Focuses on Turning Business Inquiries Into Structured Growth Opportunities

Published

3 hours ago

on

October 24, 2026

By

United States, 24th Oct 2026 — Thomas Berkley of Nexus Acquisition AI is bringing attention to a critical challenge facing service businesses: creating a more organized path from initial customer interest to meaningful sales opportunities. As companies navigate changing customer expectations and increasingly competitive markets, the relationship between marketing, lead management, and business development is becoming an important consideration for long-term growth.

For service providers, attracting potential customers does not always translate into new business. Inquiries can go unanswered, follow-up can become inconsistent, and opportunities can be overlooked when teams lack a clear process for managing prospective clients. These challenges have prompted growing interest in systems that connect customer acquisition activities with the operational workflows needed to support them.

Nexus Acquisition AI operates in this evolving space, focusing on the intersection of artificial intelligence, marketing, and customer acquisition. Its work reflects a broader shift toward examining how technology can help businesses establish more consistent processes for engaging prospects and managing opportunities.

Moving Beyond Lead Volume

Businesses often evaluate marketing performance through the number of inquiries or contacts generated. However, lead volume represents only one part of the customer acquisition process. The ability to respond promptly, maintain relevant communication, and manage opportunities through subsequent stages can also influence the effectiveness of a company’s marketing efforts.

For service businesses with limited administrative resources, coordinating these activities can be particularly challenging. Owners and employees frequently balance customer delivery, scheduling, sales conversations, and daily management responsibilities. Without clearly defined procedures, potential customers may encounter delays or inconsistent communication.

Through its focus on Nexus Acquisition marketing, the company addresses a business environment in which marketing performance is increasingly considered alongside the processes responsible for managing incoming opportunities.

This perspective encourages businesses to examine the complete customer journey rather than viewing advertising, outreach, and sales follow-up as separate functions. It also highlights the importance of identifying gaps between generating interest and taking the next appropriate action.

Exploring Practical Applications of Artificial Intelligence

Artificial intelligence is creating new possibilities for businesses seeking to organize repetitive tasks and improve the coordination of customer-facing processes. Depending on the tools selected and their implementation, AI-supported workflows may assist with inquiry classification, routine communications, information organization, and follow-up management.

For companies evaluating these capabilities, the central question is not simply whether AI can be introduced into an existing operation. It is whether a particular application addresses a genuine business need and fits the way the organization serves its customers.

Nexus Acquisition AI’s focus on technology-assisted growth aligns with this practical consideration. Businesses exploring automation must account for their existing systems, customer communication standards, staffing capacity, and the level of human oversight required for effective implementation.

Automation can support consistency, but it does not eliminate the need for sound business judgment. Service providers must still ensure that customer interactions remain relevant, information is handled appropriately, and important decisions receive the necessary attention.

Building More Consistent Lead Management Processes

The period between a customer’s initial inquiry and a purchasing decision can involve multiple interactions. Prospective customers may request information, compare providers, ask additional questions, or require time before deciding whether to proceed.

A structured lead management process gives businesses a framework for handling these different stages. It can establish how inquiries are recorded, who is responsible for responding, when follow-up should occur, and how the status of each opportunity is tracked.

Within this context, Nexus Acquisition lead generation relates to the broader challenge of developing a more coordinated approach to attracting and managing potential customers.

Generating new inquiries remains important, but businesses also benefit from understanding what happens after those inquiries arrive. Reviewing response times, follow-up consistency, conversion patterns, and the sources of qualified opportunities can help decision-makers identify areas for improvement.

These measures provide a more comprehensive basis for evaluating marketing activity than lead counts alone. They also allow businesses to consider operational adjustments before increasing spending on customer acquisition.

Aligning Growth Technology With Business Objectives

Every service business operates under different conditions. A company serving a local market may have different customer acquisition requirements from a provider operating across multiple cities or industries. Similarly, businesses with small teams may prioritize administrative efficiency, while larger organizations may focus on coordinating workflows across departments.

Consequently, growth technology must be evaluated against specific operational requirements rather than adopted solely because it is available.

The concept of Nexus Acquisition AI growth systems reflects the broader market interest in connecting marketing activities, customer information, and follow-up processes within a more coordinated operating framework.

A useful evaluation begins with identifying recurring problems, establishing measurable objectives, and determining which tasks may benefit from automation. Businesses can then assess whether the selected systems improve workflow consistency, reduce unnecessary manual effort, or provide clearer insight into customer acquisition performance.

This measured approach helps keep technology adoption connected to practical business priorities.

A Process-Oriented Perspective on Business Development

As artificial intelligence becomes more accessible, service businesses have additional options for reconsidering how they organize marketing and sales activities. The opportunity lies in identifying where technology can complement existing capabilities while preserving the personal communication and service quality that customers expect.

Thomas Berkley and Nexus Acquisition AI are positioned within this changing business landscape, where the discussion around growth increasingly includes not only attracting customers but also establishing processes for managing the opportunities that marketing creates.

For businesses reviewing their acquisition strategies, the emphasis on connected workflows offers a useful starting point: understand where prospects enter the process, determine what happens next, and evaluate whether each stage supports the organization’s broader objectives.

Further information about Nexus Acquisition AI and its approach to marketing and customer acquisition is available on the company’s website at https://nexusacquisitionai.com/ .

About Nexus Acquisition AI

Nexus Acquisition AI focuses on marketing, lead generation, and AI-powered growth systems for service businesses. The company operates within the business technology and customer acquisition sector, addressing the growing interest in using automation and structured workflows to support marketing operations and business development.

Learn more at https://nexusacquisitionai.com/.

Media Contact

Organization: Nexus Acquisition AI

Contact Person: Thomas Berkley

Website: https://nexusacquisitionai.com/

Email: Send Email

Country: United States

Release id: 50183

View source version on King Newswire:
Thomas Berkley of Nexus Acquisition AI Focuses on Turning Business Inquiries Into Structured Growth Opportunities

file

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