The article discusses the Centers for Medicare & Medicaid Services (CMS) efforts to transition healthcare providers and insurers away from outdated, manual methods of sharing patient information. This initiative aims to streamline data exchange and improve efficiency within the healthcare system.

This article explores customer preferences for AI versus human interactions in identity management. It highlights key trust factors, such as clear labeling and human oversight, and discusses how identity controls can enhance security while minimizing user friction.

This article outlines how Zalando revamped its data-sharing framework to better serve its retail partners. By adopting Delta Sharing, Zalando enables partners to access live data securely and efficiently, reducing manual data handling and improving analytics capabilities.

Mercor is a startup that helps AI labs access industry knowledge by hiring former employees from companies like investment banks and law firms. Co-founder Brendan Foody highlights the benefits of this model, noting that it enables automation without needing direct data from those companies. Mercor has rapidly grown and is now valued at $10 billion.

This article outlines how Persona enables secure data sharing among partners without complex agreements. It discusses tools like Share Tokens for KYC data exchange and highlights features for managing compliance and verification results.

Alphabet's shares rose 8% following a ruling that minimized the consequences of a major antitrust case against Google, which found it held an illegal monopoly in internet search. U.S. District Judge Amit Mehta ruled against forced divestitures of key assets like Chrome and Android but mandated changes to Google's distribution practices and data sharing. The DOJ emphasized the need for remedies to enhance competition in the search market and prevent anticompetitive behavior in Google’s GenAI products.

Zalando has transformed its partner data sharing by implementing Delta Sharing, moving from a fragmented system to an organization-wide platform that enables real-time and secure data access. This solution addresses the diverse analytical needs of partners, allowing for seamless integration with their existing systems while reducing manual data processing efforts. The initiative aims to enhance collaborative relationships and empower partners to make informed business decisions.

A new model for differential privacy, termed trust graph DP (TGDP), is proposed to accommodate varying levels of trust among users in data-sharing scenarios. This model interpolates between central and local differential privacy, allowing for more nuanced privacy controls while providing algorithms and error bounds for aggregation tasks based on user relationships. The approach has implications for federated learning and other applications requiring privacy-preserving data sharing.

YouTube has introduced a feature allowing channels to share data with brands, enhancing collaboration for original content. This move aims to improve content detection and better align creators with brand partnerships. The update is part of YouTube's ongoing efforts to strengthen ties between creators and advertisers.

The Data Act aims to enhance the accessibility and sharing of data within the EU, promoting innovation and fostering a more data-driven economy. It establishes a framework for data governance, ensuring that data is used responsibly while balancing the interests of data providers and users. The Act is part of the EU's broader strategy to become a global leader in digital transformation and data management.

YouTube is enhancing its influencer marketing capabilities by introducing a new feature that allows creators to share their channel and audience data with brands and advertisers. This initiative aims to provide creators with more earning opportunities while addressing industry challenges related to measurement and communication between creators and brands. The updates seek to align YouTube's offerings with competitors like Instagram and improve the overall influencer marketing ecosystem.

Novel algorithms have been developed to enhance user privacy in data sharing through differentially private partition selection, enabling the safe release of meaningful data subsets while preserving individual privacy. The MaxAdaptiveDegree (MAD) algorithm improves the utility of data outputs by reallocating weight among items based on their popularity, achieving state-of-the-art results on massive datasets, including the Common Crawl dataset. Open-sourcing this algorithm aims to foster collaboration and innovation in the research community.