Traditionally, health records are kept in siloed data storages of different health organizations. Today, all patients’ EHRs (Electronic Health Records) are used and shared with different institutes and research facilities without their consent. To protect and overcome pitfalls of generic systems, we introduce a new hybrid system called Hybrid Patient Data Vault (HPDV). This hybrid system can help patients securely share their health information in a manner that could allow them to share only what is necessary or in need-to-know basis. We detail the system’s components, workflows, and emergency protocols, emphasizing patient-centric design. Through a STRIDE-based threat model and simulations of key metrics like transaction latency and ZKP generation time, we demonstrate HPDV’s security and feasibility. Our evaluation shows it outperforms monolithic approaches in auditability and privacy, with ZKP proofs generated in under 7 seconds on standard devices. This work demonstrates a practical modern approach for secure, patient-controlled health data exchange.

This article explores the transformative impact of Artificial Intelligence (AI) integration within SAP S/4HANA Cloud, focusing on its applications in enterprise management, particularly in finance and controlling operations. It examines how AI enhances various aspects of financial management, including cash management, robotic process automation, and advanced analytics. The article delves into the synergistic relationship between AI capabilities and human expertise, highlighting how this collaboration is reshaping traditional financial processes and decision-making paradigms. The article also discusses the future trajectory of AI in SAP S/4HANA Cloud, anticipating further advancements in areas such as predictive analytics and natural language processing. Additionally, it addresses the challenges and considerations that arise from this technological integration, including the need for balancing automation with human oversight, the ethical implications of AI-driven decision-making, and the imperative for workforce skill development. By providing a comprehensive overview of the current state and future potential of AI in SAP S/4HANA Cloud, this article offers valuable insights for organizations seeking to leverage AI technologies to enhance their financial operations and strategic decision-making processes

The paper discusses the great change at the high end of game development brought about by generative artificial intelligence — not simply a minor tooling upgrade but rather a machine that can be used in automating the building of adaptive systems and increasing the gravitational pull of engagement for players. At a studio level, adoption has already moved beyond pilot projects to institutional practice-a shift that turns mere efficiency gains into matters of existence for quite many teams. The paper’s novel input is a neat merge of three paths: first, the lift of a game’s “skeleton” to a formal meta-model that lets big language models set up event graphs; second, a change in how hardship is made real — moving from simple time factors (D1/D7) to group-level keeping and leaving-risk hints so that tuning helps long-term involvement rather than short-term win rates; and third, the use of a feedback loop — watcher-helper sending possible changes to a skilled checker, with checker fixes sent back as top-notch training samples to lessen false guesses methodically. AI-fueled automation substantially speeds up prototyping and can enhance extended player engagement; however, these advances are precarious — dependent on legally verifiable data origin, strict dual-path (algorithmic + human) examination, and transparent intervention mechanisms — if not present, then adaptive systems may stray from customization to hidden control. This paper aims at academics and business professionals who seek disciplined, practical methods for implementing AI in design while maintaining creative freedom and responsibility.