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
Medifakt Appoints Preethika Mandadi as Chief Executive Officer
Medifakt, the health-to-earn DeSci ecosystem built on a cross-chain token economy, today announced the appointment of Preethika Mandadi as Chief Executive Officer. Preethika brings deep expertise in technology strategy, health innovation, and operations to the role, stepping in at a pivotal moment as Medifakt prepares for its global commercial launch.
About Preethika Mandadi

Preethika Mandadi is a technology strategist and health innovation leader who has driven Medifakt’s operations, product development, and go-to-market strategy. She holds a Master’s in Computer Information Technology from Purdue University, and brings enterprise experience from the State of Indiana and DXC Technology, where she led AI-driven analytics and business modernisation projects.
A certified Yoga Teacher (RYT 200), Preethika’s commitment to wellness is both professional and personal — the authentic foundation of the Medifakt mission. She is also the first author on a forthcoming peer-reviewed DeSci research paper on the Medifakt ecosystem, targeting a high-impact journal for December 2026 publication.
About Medifakt

Medifakt is a Decentralised Science (DeSci) health-to-earn ecosystem that rewards users for verified healthy behaviour through on-chain incentives. The company’s products include the FaktUp mobile application — a gamified mental wellness platform — alongside the Fakt-O-Band and Fakt-O-Ring BLE wearable devices that generate cryptographically signed, device-verified health data. Medifakt operates a dual-chain token economy: SOLFAKT on Solana serves as the earn-and-spend velocity token, while FAKT on Ethereum functions as the governance and store-of-value layer. Medifakt’s mission is to create a privacy-first, decentralised model for personal health data ownership — giving individuals full control over their wellness journey and rewarding them in real tradeable value.
Fore more information Visit: www.medifakt.com | email us at social@medifakt.com
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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
AI & Blockchain Startup Edubuk Secures $50M Investment from Nimbus Capital
New Delhi, India, March 24th, 2026, ZEX PR WIRE, Edubuk, a fast-scaling AI and blockchain startup, has secured a $50 million strategic investment commitment from Nimbus Capital, marking a major milestone in its mission to redefine global hiring infrastructure, powered by its upcoming $EBUK reward token launch.

Founded by Apoorva Bajaj (CFA, IIT Dhanbad; IIM Kozhikode Gold Medallist, with work-ex in Global Financial Markets with Goldman Sachs, DE Shaw, GlobalData) and Shivani Mehrotra (MBE from Lucknow University, Topper, UGC NET Qualified ex- Professor, Education leader, Microsoft Innovative Educator, Women in AI APAC finalist), Edubuk is tackling one of the world’s largest yet overlooked problems, fake credentials and broken verification systems, impacting over 500 million profiles globally, a $50billion+ issue.
- $50M strategic backing from Nimbus Capital
- 100,000+ on-chain verifications
- Expanding across India, South East Asia, Middle East, Europe & Africa
At the core is TruCV, a blockchain-powered, tamper-proof CV platform integrated with DigiLocker, enabling instant credential verification, and TruJobs, an AI-driven job matching platform for employers.
Backed by global recognition and awards from G20, MIT, Harvard, GITEX, CNBC, CNN, Leap-to-Unicorn, STPI, and others, Edubuk is not just building a product; it is building the trust layer for the future of work.
This isn’t just a startup, it’s the infrastructure for a transparent, skill-first global workforce.
Website: https://www.edubuk.io/
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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
Steve Valdiserri Identifies Three Shifts Reshaping the Back End of Healthcare Finance
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Traverse City executive Steve Valdiserri outlines the operational trends he sees accelerating across revenue cycle management, AI adoption, and value-based care performance in 2026 and beyond.
Healthcare Finance Is Changing Faster Than Most Organizations Are Ready For
Michigan, USA, 24th March 2026, ZEX PR WIRE — The back end of healthcare finance has historically been defined by manual processes, siloed data systems, and reporting volumes that require significant staff time to produce and interpret. Steve Valdiserri, SVP of Operations at Tally and Accurio and Founding Partner of Avanti Strategy Group, has spent the past year working at the intersection of these systems and the AI tools designed to replace or augment them. He identifies three shifts that healthcare executives and operators should be tracking closely.

Shift One: AI Adoption Is Moving from Strategy to Operationalization
The question in healthcare AI has shifted. Organizations are no longer asking whether AI belongs in revenue cycle or financial reporting. They are asking how to operationalize it within existing workflows and regulatory constraints. Valdiserri sees this as meaningful progress, though he notes that the distance between adopting a tool and realizing its financial benefit remains significant for most organizations. The gap is typically operational, not technological.
At Tally, where he leads operations, the focus is on building the infrastructure that allows AI automation to produce consistent results for organizations managing insurance verification, claims submission, AR follow-up, and financial reporting. The tool is only as effective as the operational environment it runs in.
Shift Two: Attribution Is Becoming a Recognized Strategic Priority in Value-Based Care
For years in value-based care, attribution management was treated as a technical function handled by data teams with limited connection to executive strategy or operations. Valdiserri has argued consistently that this framing understates its importance. The patient panel determines the performance baseline for every value-based care program. If attribution is broken, the downstream investment in care management, quality programs, and payer engagement produces less return than it should.
He notes a growing recognition among VBC leaders that attribution deserves a dedicated operational strategy, including systematic payer engagement and ongoing panel validation. The organizations beginning to treat it that way are seeing earlier identification of performance gaps and more accurate financial projections from their risk-based contracts.
Shift Three: Healthcare Finance Metrics Are Being Simplified, Not Expanded
Counter to the general trend toward more reporting, Valdiserri sees leading healthcare finance teams moving toward fewer, higher-quality metrics. The volume of data available to healthcare organizations has grown faster than the capacity to interpret it strategically. His view, developed across a decade of VBC operations and now applied in revenue cycle contexts, is that most organizations need a small number of metrics that describe financial health clearly rather than a comprehensive dashboard that requires significant analysis time to interpret.
For revenue cycle, his working framework focuses on AR days, write-off rate, and gross charge distribution as core indicators. Other metrics matter, but these three describe the financial condition of the business in terms that allow for direct operational response.
What These Shifts Mean for Healthcare Operators
Each of these shifts rewards organizations that prioritize operational discipline over technology adoption speed. AI tools deliver better results in organizations that have already clarified their processes. Attribution strategy produces better financial outcomes when it is connected to executive decision-making rather than siloed in analytics. Simplified metrics work when an organization has already done the harder work of understanding which numbers actually drive performance.
Valdiserri’s current work across Tally, Accurio, and Avanti Strategy Group reflects a consistent thesis: the organizations that will benefit most from the changes underway in healthcare finance are the ones that invest first in the operational foundations that make those changes productive.
About Steve Valdiserri
Steve Valdiserri is a healthcare operations executive and entrepreneur based in Traverse City, Michigan. He serves as SVP of Operations at Tally and Accurio and as Founding Partner of Avanti Strategy Group. He previously held senior operational roles at VillageMD over approximately a decade. He completed a certificate in AI in Health Care from Harvard Medical School in October 2025 and holds a Bachelor of Arts in Economics from DePauw University. Connect with him at stevevaldiserri.com.
About Author
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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