Protect your business with AI policies and data loss prevention in the browser
Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
SIOP: Scripting Inter-Operation Protocol - Dynamic inter-process communications mechanism that allows script based languages to communicate with each other similar to standards such as CORBA, but without the need for explicit definitions of interfaces.
An attempt at a Xanalogical Web, comprised of a CGI system with both native and HTML interfaces, a set of standards, a backend supporting Transclusion, versioning, and a custom browser with support for Transpointing and editing.
Doulos is a set of tools for rapidly developing n-tier distributed applications, with a framework for writing business methods, a protocol for accessing those methods, and frameworks for creating web and native user interfaces that utilize the methods.
SOAPy is a SOAP-1.1 library for Python which uses WSDL and SDL documents to discover SOAP-based service APIs. It also includes an XML Schema parser which can parse a subset of the XML Schema standard.
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.