Data Management Vendors Promote AI Agents
Vendors specializing in data management are upgrading their wares to support agentic AI
Read the full articleYou might also wanna read

Agentic AI 'breaks the traditional SaaS seat licensing model' – now it’s up to vendors to ditch 'legacy dashboards' and build with agents in mind
Incumbent software vendors will need to work harder than ever to compete with agile, AI-focused disruptors
Autodata: Using AI agents as data scientists to generate high-quality synthetic training data
We introduce Autodata, a general method that enables AI agents to act as data scientists who build high quality training and evaluation data
Autodata: Using AI agents as data scientists to generate high-quality synthetic training data
We introduce Autodata, a general method that enables AI agents to act as data scientists who build high quality training and evaluation data
Autodata: Using AI agents as data scientists to generate high-quality synthetic training data
We introduce Autodata, a general method that enables AI agents to act as data scientists who build high quality training and evaluation data
Autodata: Using AI agents as data scientists to generate high-quality synthetic training data
We introduce Autodata, a general method that enables AI agents to act as data scientists who build high quality training and evaluation data

Active Monitoring: How Agentic AI Auto-Heals and Protects Enterprise Data Pipelines
> **Cross-posted.** This article's canonical home is [Data Lakehouse Hub](
Akeneo launches Agentic Ziggy for product data teams
Product data teams can now oversee AI agents in Akeneo's cloud, reducing manual catalogue work and tightening control over approvals.
Redesigning Data Systems for LLM Agent Workloads: Addressing Agentic Speculation Challenges
Large Language Model (LLM) agents, acting on their users' behalf to manipulate and analyze data, are likely to become the dominant workload

Comments
Sign in to join the conversation.
No comments yet. Be the first.