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Day: April 28, 2026

Acquia enhances Acquia Source

Acquia announced the next evolution of Acquia Source as a digital command center, a unified intelligent workspace where digital teams manage content, applications, AI agents, and analytics in one place. Acquia also announced Acquia AI, built into Acquia Source, giving builders the tools to create, manage, and deploy AI agents that optimize content, automate governance, and drive AI discoverability.

Acquia Source unifies content management, digital asset management, and web governance into a single agentic command center, aggregating insights across every layer of the content supply chain, surfacing what needs attention, and deploying AI to resolve it. The result reduces operational overhead that disconnected systems impose on enterprise marketing and technical teams.

Acquia Source addresses discoverability at the architectural level. Content is structured for both human engagement and LLM readabilit, ensuring organizations remain the authoritative answer in ChatGPT, Perplexity, and Google AI Overviews. Answer Engine Optimization (AEO) is built directly into the content creation workflow.

Acquia AI enables organizations to build a portfolio of purpose-built agents or deploy Acquia’s ready-made agents, which come with built-in knowledge and domain-specific skills. These capabilities deliver cross-channel ROI intelligence and insight-to-action workflows that help organizations to make faster, more informed decisions.

https://www.acquia.com/newsroom/press-releases/acquia-announces-significant-updates-acquia-source-and-launches-acquia-ai

Otter. ai launches enterprise Conversational Knowledge Engine

Otter.ai announced the launch of a new Conversational Knowledge Engine, a platform to connect conversations across teams and time, turning what’s said in meetings into structured, searchable knowledge that can drive agentic actions automatically. The launch is supported by three new product capabilities, an expanded MCP server, AI Chat and Otter for Desktop.

The Conversational Knowledge Engine solves a long-standing gap in enterprise software where the decisions, context, and intent of conversational data are lost the moment a meeting ends. Otter.ai’s proprietary Conversational Knowledge Engine can be broken down into three connected ideas: 

  • Conversational. Mapped to meetings and voice, where the majority of enterprise knowledge is actually created.
  • Knowledge. A longitudinal knowledge graph (a continuously growing record of conversations over time), connecting thousands of conversations across thousands of people over time, linking decisions to who made them, the context around them, and the workflows that depend on them.
  • Engine. Puts that graph to work through conversational agentic workflows, where conversations become the trigger for automated action across the enterprise.

All new features are available today.

https://otter.ai/blog/otter-ai-evolves-from-ai-notetaker-to-create-100b-enterprise-conversational-knowledge-engine-market

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