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PlatON 2.0 Established A Decentralized Collaborative Privacy Artificial Intelligence Network

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PlatON, a next-generation Internet infrastructure protocol based on the fundamental properties of blockchain, recently combined blockchain, artificial intelligence and privacy computing technology to establish a decentralized collaborative privacy artificial intelligence network, which would take utilization of data to a new level. This network will serve as the infrastructure of autonomous artificial intelligence (AI) agents, who can facilitate advanced artificial intelligence and explore the road to Artificial General Intelligence.

Based on blockchain network, PlatON developers designed a decentralized privacy computing network to connect data, algorithms and hashrate through privacy computing protocols. Autonomous AI agents can obtain the required resources at low cost, train artificial intelligence models and publish them on the network, and interact with other artificial intelligence services or agents to form a self-organizing and cooperative artificial intelligence network. On this network, anyone can obtain artificial intelligence technology or become a stakeholder in its development, and realize the autonomy of artificial intelligence. In addition to practical artificial intelligence services, PlatON aims to use self-organizing swarm intelligence to create a whole larger than the sum of its parts, and advance towards realizing the vision of Artificial General Intelligence.

According to developers, PlatON 2.0 is actively applying research results to new fields such as finance, medicine, smart cities and Internet of Things applications. PlatON, as an AI infrastructure, provides a trustworthy data collaboration environment for hospitals, pharmaceutical enterprises, as well as scientific research institutions, etc. It links activities, research areas, operation modes and data streams of different types and fields to form a large-scale data aggregation effect and maximize the value of medical datasets, including clinical trials, medications, electronic health records, and patients’ genomic data, etc. to form a data analysis and mining system for many technical means, such as pharmacogenomics, disease histology, network pharmacology, and protein structure simulation, so as to speed up the discovery and development of new drugs.

In smart cities, PlatON 2.0 intelligent mobile solutions can be provided in commercial real estate in the city center by using multi-agent artificial intelligence digital services based on blockchain. Using artificial intelligence agents can optimize resource use and reduce the carbon footprint of cities. We predict that the large-scale implementation of smart city infrastructure will lead to a reduction of 34,000 tons of carbon dioxide emissions every year.

Through privacy computing technology, operators, Internet platforms, insurance institutions and other multi-party data open more risk-controlled private domain data labels to cooperate with banks in a confidential way to support financial risk control business. To mitigate the comprehensive credit risk of customers, PlatON 2.0 does not disclose either party’s customer ID and private domain data information, forming a risk joint prevention and control ecology.

About the Company

PlatON 2.0 A new paradigm of intelligence and privacy security in the digital age.

To To know more, visit https://platon.network/en

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Medifakt Appoints Preethika Mandadi as Chief Executive Officer

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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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AI & Blockchain Startup Edubuk Secures $50M Investment from Nimbus Capital

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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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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.

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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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