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What is Teradata Enterprise AgentStack?

The Teradata Enterprise AgentStack serves as a robust platform for the creation, deployment, and oversight of enterprise-grade autonomous AI agents, facilitating seamless connections to trustworthy data and analytics, thereby aiding enterprises in moving from initial experimentation to fully functional agentic AI under stringent enterprise governance. This platform integrates a variety of features to oversee the complete agent lifecycle; for instance, AgentBuilder simplifies the creation of intelligent agents through both no-code and pro-code options that work harmoniously with Teradata Vantage and a range of open-source frameworks. Moreover, the Enterprise MCP delivers secure, context-rich access to well-managed enterprise data, complemented by customized prompts that enhance the agents' cognitive capabilities. Simultaneously, AgentEngine guarantees scalable execution of agents while ensuring memory consistency and reliability across different hybrid environments. Furthermore, AgentOps is vital for centralizing the monitoring, governance, compliance, auditability, and policy enforcement, ensuring that agents operate within defined limits, which fosters improved efficiency and compliance with organizational policies. Together, these capabilities empower businesses to fully exploit the advantages of autonomous AI in a structured and effective manner, ultimately driving innovation and operational excellence in the enterprise landscape.

What is Genesis Computing?

Genesis Computing presents a cutting-edge enterprise AI platform that revolves around autonomous "AI data agents" aimed at optimizing intricate data engineering and analytics workflows seamlessly within an organization's current technological ecosystem. This pioneering strategy introduces a novel breed of AI knowledge workers that operate as independent agents, capable of handling extensive data workflows rather than simply offering code recommendations or analytical perspectives. These agents possess the ability to investigate data sources, assimilate and transform datasets, convert raw data from initial systems into structured analytical formats, generate and run data pipeline code, create comprehensive documentation, perform testing, and supervise pipelines in real-time operational environments. By taking charge of these tasks from inception to completion, the platform notably reduces the manual labor typically required to build and maintain data pipelines and analytics frameworks. As a result, organizations can dedicate more of their resources to strategic initiatives instead of becoming overwhelmed by monotonous technical chores. This shift in focus empowers companies to enhance their overall efficiency and drive innovation in their respective industries.

Media

Media

Integrations Supported

Herus
Model Context Protocol (MCP)
QuerySurge
Teradata VantageCloud

Integrations Supported

Amazon Web Services (AWS)
Apache Kafka
Apache Spark
Azure Databricks
Docker
Git
GitHub
Google Cloud Platform
Jira
Microsoft Azure
Microsoft Teams
Python
Slack
Snowflake

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Free
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Teradata

Date Founded

1979

Company Location

United States

Company Website

www.teradata.com/platform/agent-stack

Company Facts

Organization Name

Genesis Computing

Date Founded

2024

Company Location

United States

Company Website

genesiscomputing.ai/

Categories and Features

Agentic AI

Not specified

Agentic Orchestration

Not specified

AI Agent Builders

Not specified

AI Agents

Not specified

AI Automation

Not specified

AI Data Analytics

Not specified

AI Orchestration

Not specified

AI Tools

Not specified

Categories and Features

Agentic AI

Not specified

Agentic DevOps

Not specified

AI Agents

Not specified

AI Data Analytics

Not specified

Data Quality

Not specified

DataOps

Not specified

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