What Is Aizen?

Aizen Overview

Aizen is a full-stack artificial intelligence (AI) platform where you can build, deploy, and scale AI solutions on real-time streaming data. Aizen integrates all stages of the AI pipeline for scalable data processing and predictive analytics. It is a single platform where you can manage your entire pipeline.

Transform Any Data from Any Source

Aizen simplifies data operations (DataOps) with pipeline orchestration, quality monitoring, and governance for efficient, secure data management. Using Aizen, you can connect, ingest, analyze, transform, and store features from any batch or streaming data source. You can pull real-time and batch data from various types and sources, such as Kafka, sensors, and JDBC. With support for diverse types and sources, you can more easily collaborate, integrate, and automate your data management processes.

Automate Your AI Pipeline: Train, Serve, and Monitor

Aizen's advanced machine learning operations (MLOps) framework enables you to train, deploy, serve, and monitor AI solutions with high accuracy and performance. Using Aizen, you can automate your AI pipeline with dynamic distributed model training, continuous integration and delivery (CI/CD) deployment, customizable real-time serving endpoints, and continuous monitoring to detect drift.

Power AI Workloads with Scalable Infrastructure Management

Aizen provides Kubernetes-powered microservices that optimize your AI infrastructure operations (InfraOps), offering automated, scalable, and efficient management of computing resources across both cloud and on-premises (on-prem) environments.

Using Aizen, you can scale AI solutions to accommodate growing data volumes and evolving business needs. You can:

• Build AI solutions for enterprises of any size, from supply chain and manufacturing to retail and fintech.

• Create models easily, ranging from small machine learning to large deep learning applications, customized for your needs.

• Accelerate time-to-value with ready-to-use models that can be quickly fine-tuned for your specific use cases.

Aizen Platform Features

The Aizen platform integrates these features in an easy-to-use and scalable AI platform.

Aizen AI System Architecture

Application Gateway

Aizen's application gateway provides an intuitive, front-end user interface (UI), which you can use to set up your AI workflows without complex programming. Aizen's UI consists of a JupyterLab notebook, which enables you and other data scientists, data engineers, or prompt engineers to securely connect to backend microservices to build, deploy, and scale AI-enabled solutions. Through the Aizen UI, you can:

• Connect to various data sources and ingest raw data.

• Transform real-time data streams into features without writing any code, simplifying the data preparation process.

• Generate machine learning (ML) or deep learning (DL) models, using the UI's algorithm selection and model building features.

Storage Layer

Aizen's storage layer is designed to manage AI data at scale, power real-time feature serving, and optimize training with computing-aware data partitioning and streaming to CPUs/GPUs. The storage layer can handle massive AI data volumes. Its low-latency row access and high-throughput batch access enable fast predictions and efficient training. Its object store persistence and high availability ensure data integrity and minimize downtime and data loss concerns. Its metadata store for features discovery and lineage supports transparency and compliance. Its feature store enables real-time and collaborative AI feature serving. You can manage and search vector embeddings through its vector database integration. Using Aizen's time-travel capability, you can gain insight from historical data and make informed decisions based on past trends.

Microservices

Aizen's Kubernetes-powered microservices enable on-demand scaling of computing resources for dynamic, remote graphics processing unit (GPU) training, which optimizes performance and reduces costs. For more information, see Resources and GPUs.