3,135 articles
AlphaPose
AlphaPose is an open-source deep learning system for multi-person human pose estimation that detects people in images and video and returns their body keypoints as skeletons.
Alternating least squares
Alternating least squares (ALS) is an iterative optimization algorithm for matrix factorization used in recommender systems, solving for one factor matrix while holding the other fixed.
Alteryx
Alteryx is an American data analytics software company headquartered in Irvine, California, whose drag-and-drop Designer product lets analysts prepare, blend, and analyze data without code.
Amazon Athena
Amazon Athena is AWS's serverless interactive query service for analyzing Amazon S3 data with standard SQL, built on Trino (engine v3, formerly Presto), billed at $5 per TB scanned, with Glue Catalog, federated queries, and Spark support.
Amazon DataZone
Amazon DataZone is AWS's fully managed data management service for cataloging, discovering, sharing, and governing data across AWS, on-premises, and third-party sources. Announced November 2022, generally available October 4, 2023; since June 2025 its domains upgrade into Amazon SageMaker Unified Studio (domainVersion V1 to V2).
Amazon DynamoDB
Amazon DynamoDB, also known as DynamoDB, is a fully managed serverless NoSQL database from Amazon Web Services, launched in 2012 and known for single-digit-millisecond latency at any scale.
Amazon EMR
Amazon EMR, formerly Amazon Elastic MapReduce, is AWS's managed big data cluster platform launched in 2009 for Hadoop, Spark, Hive, and Trino. It offers EC2, EKS, and Serverless deployments, per-second pricing, and versioned releases with support lifecycle stages.
Amazon Kinesis
Amazon Kinesis is AWS's family of managed real-time streaming data services, launched November 14, 2013 at re:Invent. Components include Data Streams (sharded, up to 365-day retention), Data Firehose, Data Analytics, and Video Streams.
Amazon MSK
Amazon MSK (Amazon Managed Streaming for Apache Kafka) is AWS's fully managed Apache Kafka streaming service, generally available since May 30, 2019, offering Provisioned (Standard/Express brokers), Serverless clusters, and MSK Connect.
Amazon MWAA
Amazon MWAA (Managed Workflows for Apache Airflow) is AWS's managed Apache Airflow service, offered in provisioned and Serverless modes, running schedulers and workers on Fargate with an Aurora PostgreSQL metadata database, auto-scaling workers, and classes from mw1.micro to mw1.2xlarge.
Amazon QuickSight
Amazon QuickSight (now Amazon Quick Sight, part of Amazon Quick) is AWS's cloud BI service, launched October 7, 2015 at re:Invent, generally available November 2016, built on the SPICE in-memory engine supporting 2 billion rows or 2 TB per dataset.
Amazon RDS
Amazon RDS (Relational Database Service) is a managed Amazon Web Services service that creates and operates relational databases in the cloud, handling backups, patching, and recovery.
Amazon Redshift
Amazon Redshift (AWS Redshift) is a fully managed, petabyte-scale cloud data warehouse from Amazon Web Services, launched in 2012, that uses columnar storage and PostgreSQL-based SQL.
Amazon S3 API
Amazon S3 API: the REST web service interface of Amazon Simple Storage Service, version 2006-03-01, launched March 2006; now the de facto object storage standard reimplemented by Google, IBM, Oracle, Cloudflare R2, and others.
Amazon SageMaker Ground Truth
Amazon SageMaker Ground Truth, also called AWS Ground Truth, is a data labeling service launched November 28, 2018 for building ML training datasets with MTurk, vendor, or private workforces, plus active-learning automated labeling; closed to new customers July 30, 2026.
Amazon SageMaker Unified Studio
Amazon SageMaker Unified Studio is AWS's single data and AI development environment, announced in preview at re:Invent December 2024 and generally available March 13, 2025, unifying EMR, Glue, Athena, Redshift, Bedrock, and SageMaker AI tooling in governed projects.
Amortized analysis
Amortized analysis, also called amortized complexity, is a computer science technique that bounds the average cost per operation over a sequence, using the aggregate, accounting, or potential method.
Amortized inference
Amortized inference is a machine learning approach that trains a model once, so posterior estimates for new data come in a single forward pass instead of fresh optimization.
Amplitude estimation
Amplitude estimation, also known as quantum amplitude estimation, is a quantum algorithm that estimates the probability of a marked subspace, using O(1/ε) queries versus classical O(1/ε²) sampling.
Analog image processing
Analog image processing is image processing on continuous signals, using lenses, masks, and analog circuits for convolution and Fourier transforms with high parallelism and low energy.
Analysis of algorithms
Analysis of algorithms, also known as algorithm analysis, is the mathematical study of the running time and memory an algorithm needs, using asymptotic notation like big O.
Analytic hierarchy process
The analytic hierarchy process (AHP) is a structured technique for multi-criteria decision making, developed by Thomas L. Saaty in the 1970s, that decomposes problems into a hierarchy of goal, criteria, and alternatives.
Analytics
Analytics is the discipline of applying statistical, computational, and mathematical methods to data to explain what happened and what should be done, spanning four types: descriptive, diagnostic, predictive, and prescriptive.
Analytics engineering
Analytics engineering: a data discipline transforming raw warehouse data into clean, tested, documented data sets using software engineering practices like version control and CI. Named in Michael Kaminsky's 2019 blog post; centered on the dbt ecosystem; 72% AI-assisted coding adoption in 2026.
Anchor modeling
Anchor modeling is an open-source 6NF database modeling technique for evolving data environments, using anchors, knots, attributes, and ties; every schema change is additive, with per-attribute history, distinct from Data Vault.
Anchors (machine learning)
Anchors is a model-agnostic explainability method, introduced by Marco Tulio Ribeiro, Sameer Singh, and Carlos Guestrin in 2018, that explains individual predictions of black-box classifiers with high-precision if-then rules.
Angle-of-arrival estimation
Angle-of-arrival estimation, also called direction-of-arrival (DOA) estimation, is a signal processing method that determines the directions signals arrive from at a sensor array, underpinning radar tracking, sonar, wireless beamforming, and 5G positioning.
Anisotropic diffusion (image processing)
Anisotropic diffusion is a PDE-based image-smoothing technique that reduces noise while keeping region boundaries sharp, introduced by Pietro Perona and Jitendra Malik in 1990 and used in denoising and segmentation.
Annoy (software)
Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings for approximate nearest-neighbor search, built by Erik Bernhardsson at Spotify in 2013.
Anomalo
Anomalo (formerly Data Gravity) is an AI-powered enterprise data quality monitoring platform founded in 2018 in Palo Alto by Instacart alumni Elliot Shmukler and Jeremy Stanley, using unsupervised machine learning to detect anomalies.