Technology

CKGSB Professor Quantified Value of Personal Data in E-Commerce

Published

2 years ago

July 5, 2024

BEIJING, July 5, 2024 /PRNewswire/ — In a world where e-commerce platforms offer consumers an overwhelming array of products, data assets are the linchpins of digital platform operations as data-driven algorithm recommendations help users discover and purchase their desired items. But what would happen if these recommendations were turned off?

Sun Tianshu, CKGSB Dean’s Distinguished Chair Professor of Information Systems and Director of the Center for Digital Transformation, has explored this question by quantifying the value of personal data to e-commerce platforms through the world’s first large-scale randomized field experiment on 550,000 e-commerce users in collaboration with Zhejiang University and Alibaba, detailed in his recent paper published at Management Science, a top management journal, titled, “The Value of Personal Data in Internet Commerce: A High-Stake Field Experiment on Data Regulation Policy.”

The experiment uniquely assessed the significance of data assets to the digital platform economy by disabling the algorithmic recommendation system based on personal data on the platform’s homepage for the test group. The results were telling: when users were denied access to information flows recommended to them based on characteristics inferred from their personal data, ecommerce platforms saw asymmetry in the products recommended, hurting the diversity of products on platforms and leading to fewer transactions and lower engagement rate.

Products recommended on the homepage dropped from 4 million to around 280,000, and the top 1,000 products from leading brands took up 90% of recommended slots for a disproportionately high exposure. Customers’ click-through rate (CTR) and page views (PV) went down by 75.3% and 33.6% respectively and sellers’ gross merchandise value (GMV) and transaction volume plummeted by a whopping 81.1% and 86%. Small and medium-sized sellers on the platform saw a 54% decrease in pageviews and a 90% drop in GMV, suggesting they were more impacted than leading sellers, whose PV fell by 27% and GMV by 79%. Research also found consumers with low purchasing power are negatively impacted.

This paper provides a quantified basis for how to balance the use of data assets and personal privacy protection through large-scale experiments, but also helps businesses formulate more informed digital economic policies.

Professor Sun leads CKGSB’s Center for Digital Transformation, focusing on digital business, digital technology and implication for traditional businesses. This research underscores CKGSB’s commitment to pioneering knowledge that drive understanding and innovation in the digital economy.

View original content:https://www.prnewswire.com/apac/news-releases/ckgsb-professor-quantified-value-of-personal-data-in-e-commerce-302189465.html

SOURCE Cheung Kong Graduate School of Business (CKGSB)

Technology

Monnit Introduces NIST Detachable Leads to Streamline Compliance Monitoring

Published

36 minutes ago

June 18, 2026

New hot-swappable lead architecture reduces downtime, simplifies recertification, and helps organizations maintain continuous monitoring.

SALT LAKE CITY, June 18, 2026 /PRNewswire/ — Monnit announced new NIST Standard and Low Temperature and Humidity Detachable Leads for compatible ALTA® Sensor Bases designed to simplify sensor recertification, reduce downtime, and support continuous compliance monitoring.

“Organizations shouldn’t have to choose between maintaining compliance and operational continuity,” said Brad Walters, Founder and CEO of Monnit. “Our detachable lead architecture allows customers to hot-swap certified leads in minutes while preserving traceability and keeping trusted monitoring programs running.”

Each NIST Detachable Lead is uniquely calibrated and designed to support traceability requirements aligned with the National Institute of Standards and Technology (NIST) standards.

Rather than removing and shipping an entire sensor for recertification, customers can disconnect only the lead, connect a certified replacement, and send the original lead for recalibration. This approach is ideal for pharmaceuticals, healthcare facilities, laboratories, food storage operations, manufacturing environments, and other applications that require calibration records.

In addition to these hot-swappable, removable leads or cables with probes, we offer short Monnit Standard Temperature and Humidity Detachable Non-Leaded Probes that you can connect to compatible sensor bases.

Each NIST Detachable Lead or Probe connects to compatible ALTA Industrial and Enterprise Sensor Bases via sealed, keyed M8 6-pin connectors designed for field installation. Embedded memory within the lead stores unique lead and sensor identification, calibration data, certification information, and traceability records.

Key features and benefits include:

Hot-swappable lead replacement that minimizes downtime and monitoring interruptionsNIST-traceable calibration support and ISO 17025-accredited lab certificationSupport for FDA 21 CFR Part 11 workflows and audit programsAutomatic synchronization of calibration information with iMonnit® SoftwareLogging of lead connection and disconnection events in iMonnitHot-swapping capability while powered on or off for easier servicing

Monnit and its accredited lab partner, Sensor Calibrations, provide 25-month certificates for NIST Detachable Standard Temperature Leads and 13-month certificates for NIST Detachable Low Temperature and Humidity Leads.

Compatible ALTA Sensor Bases automatically recognize connected lead types and maintain digital maintenance records, helping organizations avoid monitoring gaps caused by traditional recertification.

About Monnit Corporation
The origin story of the Internet of Things (IoT) begins with Monnit. Before our inception in 2010, we were already at the forefront of embedding technology into machines and devices to enable them to talk and deliver valuable data to business leaders. Monnit Remote Monitoring Solutions for nearly any industry use case have delivered 72B+ data points in 130+ countries for 90K+ customers. Monnit’s 80+ long-range IoT sensors remotely monitor many conditions such as temperature, light, humidity, water, vibration, pressure, and more. You can analyze data using iMonnit cloud software and get alerts via email, text, push notification, or call when our sensors detect a change you should know.

Media Contact:
David Hill
Marketing Communications
801-505-8172
417089@email4pr.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/monnit-introduces-nist-detachable-leads-to-streamline-compliance-monitoring-302803906.html

SOURCE Monnit

Technology

Monnit Introduces NIST Detachable Leads to Streamline Compliance Monitoring

Published

36 minutes ago

June 18, 2026

New hot-swappable lead architecture reduces downtime, simplifies recertification, and helps organizations maintain continuous monitoring.

Each NIST Detachable Lead is uniquely calibrated and designed to support traceability requirements aligned with the National Institute of Standards and Technology (NIST) standards.

Key features and benefits include:

Compatible ALTA Sensor Bases automatically recognize connected lead types and maintain digital maintenance records, helping organizations avoid monitoring gaps caused by traditional recertification.

Media Contact:
David Hill
Marketing Communications
801-505-8172
417089@email4pr.com

View original content to download multimedia:https://www.prnewswire.com/news-releases/monnit-introduces-nist-detachable-leads-to-streamline-compliance-monitoring-302803906.html

SOURCE Monnit

Technology

deepset Joins HPE’s Unleash AI Program to Accelerate Sovereign Agentic AI

Published

36 minutes ago

June 18, 2026

SAN JOSE, Calif., June 18, 2026 /PRNewswire/ — deepset, the company behind Haystack, the production-ready open-source AI agent framework and platform, today announced it has joined the HPE Unleash AI partner program to help government, defense, and regulated enterprises deploy production-grade AI systems in sovereign, self-hosted, and air-gapped environments.

As part of the collaboration, deepset will leverage the Haystack Enterprise Platform, deepset’s platform for building, orchestrating, and governing AI agents and applications, and HPE’s AI ecosystem and infrastructure portfolio to help organizations rapidly identify and operationalize high-value AI use cases while reducing deployment complexity and risk. This enables customers to access AI-ready infrastructure, strategic guidance, and accelerated pilot execution to address their most challenging AI adoption and operationalization needs.

Together, the companies enable organizations to deploy AI agents, multi-agent systems, and Retrieval-Augmented Generation (RAG) applications on self-hosted, sovereign, and air-gapped infrastructure while maintaining full ownership over sensitive and classified data, models, and AI operations.

Customers can leverage the joint architecture to operationalize governed AI applications faster while maintaining the security, compliance, and deployment flexibility required for sovereign and mission-critical environments.

The HPE Unleash AI partner program is a curated ecosystem, combining ISV solutions that go through comprehensive validation testing with engineered HPE AI systems, including HPE Private Cloud AI and the broader HPE AI Factory with NVIDIA solutions, to deliver the performance, security, and scalability enterprises need for production AI. By joining the program, deepset expands access to governed AI platform capabilities designed for organizations operating in highly regulated environments, including public sector, defense, cybersecurity, and enterprise industries.

The Haystack Enterprise Platform enables organizations to:

Build and govern AI agents, multi-agent systems, and RAG applicationsDeploy AI on self-hosted, private cloud, and air-gapped infrastructureOrchestrate modular AI pipelines across models, databases, and enterprise systemsEnforce governance, auditability, and lifecycle management for production AISupport sovereign AI initiatives aligned with European and national security requirements

The collaboration builds on deepset’s experience supporting sovereign AI initiatives with organizations including the European Commission, the German Ministry of Research, Technology and Space (BMFTR), and other government, defense, and enterprise organizations deploying sovereign AI systems under strict governance and security requirements.

“With agentic AI moving into operational deployment, organizations need infrastructure and AI platforms they can control and trust,” said Milos Rusic, CEO and co-founder of deepset. “The challenge is getting agentic systems into production while maintaining control over infrastructure, governance, and sensitive data. Together with HPE, we’re helping customers deploy governed AI systems faster across highly regulated and mission-critical environments.”

Use cases supported through the joint architecture include:

Sovereign AI platform for public sector & regulated industry institutionsSovereign AI intelligence and decision-support systems for classified operationsCybersecurity investigation and threat analysisAI agents for technology, manufacturing, research, legal, and financial workflows

“The Unleash AI program is designed to help organizations deploy AI solutions faster and with greater operational confidence,” said Robin Braun, Vice President of AI Business Development, Hybrid Cloud, HPE. “Together, HPE and deepset are delivering secure, governed AI solutions that combine enterprise-grade infrastructure with flexible and governed AI agent capabilities to help customers operationalize AI across hybrid, sovereign, and classified environments.”

For more information, visit https://www.deepset.ai

About deepset

deepset is the company behind Haystack, the leading open-source framework and platform for building production-grade AI applications and agentic systems. deepset enables enterprises and public sector organizations to develop, deploy, and govern flexible AI applications powered by their choice of large language models, enterprise data, infrastructure, and governance policies across cloud, hybrid, and sovereign environments.

Media Contact
Steph McGuirk
417109@email4pr.com
845.269.8868

View original content to download multimedia:https://www.prnewswire.com/news-releases/deepset-joins-hpes-unleash-ai-program-to-accelerate-sovereign-agentic-ai-302803905.html

SOURCE deepset