AI Buyer Insights:

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Amazon Web Services Data, Technology Stack, and Enterprise Applications
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Culture Amp Legacy Culture Amp Employee Experience HCM n/a 2015 2015
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Meta Legacy Faiss AI Frameworks and Libraries AI Development n/a 2025 2025
In 2025, Amazon Web Services exposed Faiss as an engine option within Amazon OpenSearch Service k-NN and vector search capabilities, extending that option to OpenSearch Serverless vector collections to support large scale approximate nearest neighbor retrieval. AWS documentation and public blogs in the US region present Faiss under the AI Frameworks and Libraries category and position the library specifically for retrieval augmented generation and semantic search workloads. Faiss is surfaced as the vector indexing and ANN engine, with configuration choices that include index types, quantization settings, and performance tuning commonly associated with Faiss deployments. These capabilities align with standard AI Frameworks and Libraries functions, enabling dense vector indexing, approximate nearest neighbor search, and model-agnostic vector ingestion pipelines within OpenSearch Service. Integration points described in AWS guidance include Amazon OpenSearch Service serverless vector collections and examples that pair Faiss based retrieval with Amazon SageMaker JumpStart inference and model provisioning workflows. Documentation emphasizes engine selection at the OpenSearch layer, and shows how Faiss integrates into the search stack for RAG workflows, linking model outputs to vector collections managed inside OpenSearch. Governance and rollout are driven through AWS published guidance and examples released in 2025, which provide configuration patterns and quantitative option guidance for customers choosing Faiss. The published materials focus on configuration, operational integration with OpenSearch Service, and deployment patterns for customers adopting Faiss as their AI Frameworks and Libraries solution for vector retrieval and semantic search.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Zoom Video Communications Legacy Zoom Audio Video and Web Conferencing Collaboration n/a 2020 2020
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Content Management Content Management 2025 2025
Digital Asset Management Content Management 2014 2014
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Account Based Marketing CRM 2019 2019
Account Based Marketing CRM 2020 2020
Customer Experience CRM 2016 2016
Marketing Analytics CRM 2021 2021
Marketing Automation CRM 2015 2015
Marketing Automation CRM 2018 2018
Marketing Automation CRM 2023 2023
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Apps Development PaaS 2018 2018
Apps Development PaaS 2025 2025
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2018 2018
Cloud Storage IaaS 2013 2013
Network Management and Monitoring IaaS 2022 2023
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Network Detection and Response (NDR) CyberSecurity 2023 2023
Next Generation Firewall CyberSecurity 2022 2023
Secure Sockets Layer (SSL) CyberSecurity 2014 2014
Security Orchestration, Automation, and Response (SOAR) CyberSecurity 2025 2025
IT Decision Makers and Key Stakeholders at Amazon Web Services
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Amazon Web Services Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Amazon Web Services Technographics

Amazon Web Services is a Communications organization based in United States, with around 130000 employees and annual revenues of $107.60 billion.

Amazon Web Services operates a diverse technology stack with applications such as Culture Amp, Faiss and Zoom, covering areas like Employee Experience, AI Frameworks and Libraries and Audio Video and Web Conferencing.

Amazon Web Services has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Culture Amp, Meta and Zoom Video Communications.

Amazon Web Services recently adopted applications including Faiss in 2025, Hyland Nuxeo in 2025 and CrewAI OSS in 2025, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Amazon Web Services’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Amazon Web Services’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete Amazon Web Services technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.