Technology
Azure AI Services
Last fetched
Azure AI Services is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under application development & management, with a published adopter count of 9,901 hostnames.
Profile
- Broader grouping
- intelligence and analytics, software development
- Published adopter count
- 9,901
- Vendor
- microsoft.com
Azure AI Services is a collection of APIs and services that enable developers to integrate intelligent features into their applications, such as vision, speech, language understanding, and decision-making capabilities. It allows for the development of applications that can see, hear, speak, understand, and interpret human needs through natural methods of communication.
Vendor site: https://azure.microsoft.com/en-us/products/ai-services
Sample adopters
20 hostnames WhisperGraph observed running Azure AI Services, a sample of the 9,901 published adopters.
Hosting concentration
The networks announcing the IP addresses of a sample of 20 Azure AI Services adopters, not of all 9,901 published adopters. A hostname counts once per network.
Related pages
Pivot from Azure AI Services into its category and the vendor behind it.
Queries
Resolves the slug's technology-name candidate(s) and projects the winner's fields.
MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
winner.description AS description,
winner.category AS category,
winner.parentCategories AS parentCategories,
winner.adopterCount AS adopterCount,
winner.url AS url,
winner.vendorApex AS vendorApex,
candidatesRun yourself →Reads a 20-host adopter sample and the ASNs announcing its IP addresses.
MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200Run yourself →Or query Whisper from your own LLM workflow via the Whisper MCP server.