News from the AI & ML world
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@www.bigdatawire.com
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Starburst is enhancing its data platform with new agentic AI capabilities, marking a significant step in the evolution of enterprise AI. These updates include the introduction of Starburst AI Workflows, a suite designed to expedite AI experimentation and deployment, alongside Starburst AI Agent, a pre-built natural language interface for the platform. This move aims to empower data analysts and application-layer AI agents, enabling them to extract faster and more insightful business insights from the data lakehouse. Starburst is also launching Starburst Data Catalog, a modern enterprise-grade metastore solution purpose-built to replace Hive Metastore in Starburst Enterprise.
The new AI capabilities address the growing need for enterprises to leverage AI for better-informed decision-making and increased efficiency. With fragmented data spread across various clouds and formats, many organizations struggle to build effective AI workflows. Starburst's platform updates aim to remove the friction between data and AI, enabling enterprise data teams to rapidly build AI applications and analytics on a single, governed foundation. Starburst uniquely helps enterprises speed up AI adoption, reduce costs, and realize value faster by enabling access to all their data, no matter where it lives, across clouds, on-premises, or hybrid environments, so they don’t need to move or migrate it to build, train, or tune their AI models.
Justin Borgman, CEO and co-founder of Starburst, emphasized that AI's power is directly tied to the data it can access. The company's aim is to remove the barriers between data and AI by bringing distributed, hybrid data lakeside capabilities, enabling enterprise data teams to rapidly build AI and analytics on a governed foundation. Kevin Petrie, an analyst at BARC U.S., noted the significance of Starburst's new tools, highlighting their focus on addressing key risks associated with AI development, such as data access, quality, privacy, and incompatible systems.
ImgSrc: www.bigdatawire
References :
The new AI capabilities address the growing need for enterprises to leverage AI for better-informed decision-making and increased efficiency. With fragmented data spread across various clouds and formats, many organizations struggle to build effective AI workflows. Starburst's platform updates aim to remove the friction between data and AI, enabling enterprise data teams to rapidly build AI applications and analytics on a single, governed foundation. Starburst uniquely helps enterprises speed up AI adoption, reduce costs, and realize value faster by enabling access to all their data, no matter where it lives, across clouds, on-premises, or hybrid environments, so they don’t need to move or migrate it to build, train, or tune their AI models.
Justin Borgman, CEO and co-founder of Starburst, emphasized that AI's power is directly tied to the data it can access. The company's aim is to remove the barriers between data and AI by bringing distributed, hybrid data lakeside capabilities, enabling enterprise data teams to rapidly build AI and analytics on a governed foundation. Kevin Petrie, an analyst at BARC U.S., noted the significance of Starburst's new tools, highlighting their focus on addressing key risks associated with AI development, such as data access, quality, privacy, and incompatible systems.
ImgSrc: www.bigdatawire
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References :
- AiThority: Starburst Unveils New AI Platform Capabilities to Accelerate Enterprise AI and Agents
- www.bigdatawire.com: Starburst Brings AI Agents Into Data Platform
- WhatIs: Addition of new AI capabilities shows Starburst's growth
- aithority.com: Starburst Unveils New AI Platform Capabilities to Accelerate Enterprise AI and Agents
Classification:
- HashTags: #AgenticAI #DataPlatform #AIInsights
- Company: Starburst
- Target: Enterprises
- Product: Data Platform
- Feature: Agentic AI
- Type: AI
- Severity: Informative