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“Data Island” Problem Can Be Solved by Combining Privacy Computing AI and Blockchain Technology

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Platon Now Offers Breakthrough Solutions to Break the “Data Island” and Release the Value Potential

During the COVID-19 pandemic, medical networking services developed rapidly, and big data played a key role in the development. In the medical industry, new medical models and cutting-edge research also require a large number of patient data to verify. However, due to the lack of effective privacy protection, data cannot be shared, resulting in the “data island” phenomenon, which has become a big problem to be solved. At the same time, the widespread use of medical big data also triggered the issue of privacy leaks and data abuse, and raised social concerns about data security and privacy protection.

These problems exist not only in the medical industry, but also in other industries. Citing the protection of trade secrets and refusing to trade their own data, government departments are also reluctant to share data because of security, interests, technology, and other concerns. This exacerbates the “data Island” problem, which restricts the maximization of data value.

In the current data market, users produce new online data every day, but they do not own the data. Data is held in the hands of each independent collector, resulting in the compartmentalization of data ownership, which is referred to as “data Island.” The lack of data privacy protection and sharing mechanism is the main obstacle for data authentication.

Blockchain provides an opportunity for data validation. Blockchain is a distributed ledger technology designed to realize transaction accounting through the joint participation of multi-nodes, and each node account is complete and cannot be tampered with. This helps in integrating users into the three-party governing account for insusceptible and uninterrupted data production, data monopoly and data use.

Through node authorization, the final data income is shared among the parties in proportion to realizing the sharing of data ownership. Although transaction information is shared in this process, account information is highly encrypted. Therefore, zero-knowledge proof is an effective strategy to protect the privacy of accounts. Zero-knowledge proof is to make the verifier believe that he has certain knowledge or ability without providing any useful information to the verifier, for example, to realize the asset transfer without disclosing user identity.

Blockchain technology can be widely used in equipment authentication, communication encryption and other areas to provide a strong support for breaking the “data island” and promoting data transactions.

Privacy computing brings solutions

The realization of data sharing transaction and potential value release happens on the value chain of “property right confirmation – privacy protection – co-computing – value sharing.” The scheme, which is widely accepted by finance and blockchain industry, is based on the solution combining privacy computing and AI, which is a new way to solve security problems such as key management, by integrating multiple cryptography algorithms with frontier blockchain technology. Public chain PlatOn is the pioneer that set a precedence of multi-party secure computing (MPC) and other cryptographic algorithms into the key management system (KMS), which realizes the management of massive scale digital assets through cryptography, thereby effectively resolving the contradiction between data privacy protection, right ownership and data sharing, and improving the value and efficiency of data. The technology can be used in future scenarios such as digital wallets and inter-agency transactions.

PlatON has focused on the combination of privacy computing and big data AI. The open-sourced, community-based, blockchain ecosystem recently launched Tensorflow, the world’s first privacy AI framework that supports mainstream in-depth learning. PlatON’s series of innovative practices have provided an observable way to solve the problem of “data island” and data asset transaction.

Thanks to its rich industry experience, PlatON can fix the impasse and step forward. It is reported that PlatON’s core founding team has more than 15 years of experience in finance and communications, and strong software implementation capability too. These are exactly what the foundation for PlatON is built on to continuously and effectively promote R&D investment and business practice. At present, PlatON is focusing on R&D and solving the problem of data sharing step by step in the engineering and business world. Currently, PlatON’s leading network, Alaya, is focused on the financial sector, where data is highly standardized and financial institutions have a strong desire to address data privacy concerns.

PlatON’s Future Vision: Building a Data Transaction Infrastructure

PlatON has become a global leader in the field of privacy-protected computing. With the accumulation of finance and AI, PlatON has reached strategic cooperation with HashQuark, Keystore, HashKey Hub and other well-known platforms in the industry to jointly promote the implementation and application of cutting-edge technologies, such as KeyShard, so as to realize the new digital assets custody service in the world and better protect the security of digital assets.

PlatON’s vision is to build a peer-to-peer computing network that integrates verifiable computing, privacy computing, scalable computing, and dedicated computing hardware to provide open-source public infrastructure software development, consulting, and operational services to developers, data providers, as well as various communities, organizations, and individuals with computing needs around the world, and ultimately to support mass data asset transactions.

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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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