undefined cover
undefined cover
undefined cover
undefined cover
Enterprise Wide Search 28: Amra Dorjbayar - Designing the Agentic Enterprise cover
Enterprise Wide Search 28: Amra Dorjbayar - Designing the Agentic Enterprise cover
Enterprise Wide Search

Enterprise Wide Search 28: Amra Dorjbayar - Designing the Agentic Enterprise

Enterprise Wide Search 28: Amra Dorjbayar - Designing the Agentic Enterprise

27min |06/03/2026
Play
undefined cover
undefined cover
undefined cover
undefined cover
Enterprise Wide Search 28: Amra Dorjbayar - Designing the Agentic Enterprise cover
Enterprise Wide Search 28: Amra Dorjbayar - Designing the Agentic Enterprise cover
Enterprise Wide Search

Enterprise Wide Search 28: Amra Dorjbayar - Designing the Agentic Enterprise

Enterprise Wide Search 28: Amra Dorjbayar - Designing the Agentic Enterprise

27min |06/03/2026
Play

Description

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Amra Dorjbayar, former co-founder and CEO of Wobby (recently acquired by Actian), to unpack what Agentic BI really means and why the next wave of analytics won’t look like dashboards, reports, or even chatbots.


Amra shares the moment in late 2022 when he realized LLMs could change how people work with data, why he left data journalism to build Wobby, and what it takes for AI agents to generate insights you can actually trust.


Together, they explore:

  • Why “agentic BI” needs an operating system, not just a chat interface

  • How semantic layers and knowledge graphs make AI analysis reliable

  • Why AI-native teams move differently, and how process can kill speed

  • The shift from “ask questions” to proactive insights that surface themselves

  • The emerging role she calls “guardians of meaning” for enterprise data


🎧 Tune in for a conversation on the future of BI, meta-functional teams, and what it takes to connect data foundations with agentic outcomes.


Hosted on Ausha. See ausha.co/privacy-policy for more information.

Description

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Amra Dorjbayar, former co-founder and CEO of Wobby (recently acquired by Actian), to unpack what Agentic BI really means and why the next wave of analytics won’t look like dashboards, reports, or even chatbots.


Amra shares the moment in late 2022 when he realized LLMs could change how people work with data, why he left data journalism to build Wobby, and what it takes for AI agents to generate insights you can actually trust.


Together, they explore:

  • Why “agentic BI” needs an operating system, not just a chat interface

  • How semantic layers and knowledge graphs make AI analysis reliable

  • Why AI-native teams move differently, and how process can kill speed

  • The shift from “ask questions” to proactive insights that surface themselves

  • The emerging role she calls “guardians of meaning” for enterprise data


🎧 Tune in for a conversation on the future of BI, meta-functional teams, and what it takes to connect data foundations with agentic outcomes.


Hosted on Ausha. See ausha.co/privacy-policy for more information.

Share

Embed

You may also like

Description

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Amra Dorjbayar, former co-founder and CEO of Wobby (recently acquired by Actian), to unpack what Agentic BI really means and why the next wave of analytics won’t look like dashboards, reports, or even chatbots.


Amra shares the moment in late 2022 when he realized LLMs could change how people work with data, why he left data journalism to build Wobby, and what it takes for AI agents to generate insights you can actually trust.


Together, they explore:

  • Why “agentic BI” needs an operating system, not just a chat interface

  • How semantic layers and knowledge graphs make AI analysis reliable

  • Why AI-native teams move differently, and how process can kill speed

  • The shift from “ask questions” to proactive insights that surface themselves

  • The emerging role she calls “guardians of meaning” for enterprise data


🎧 Tune in for a conversation on the future of BI, meta-functional teams, and what it takes to connect data foundations with agentic outcomes.


Hosted on Ausha. See ausha.co/privacy-policy for more information.

Description

In this episode, co-hosts Emma McGrattan and Ole Olesen-Bagneux sit down with Amra Dorjbayar, former co-founder and CEO of Wobby (recently acquired by Actian), to unpack what Agentic BI really means and why the next wave of analytics won’t look like dashboards, reports, or even chatbots.


Amra shares the moment in late 2022 when he realized LLMs could change how people work with data, why he left data journalism to build Wobby, and what it takes for AI agents to generate insights you can actually trust.


Together, they explore:

  • Why “agentic BI” needs an operating system, not just a chat interface

  • How semantic layers and knowledge graphs make AI analysis reliable

  • Why AI-native teams move differently, and how process can kill speed

  • The shift from “ask questions” to proactive insights that surface themselves

  • The emerging role she calls “guardians of meaning” for enterprise data


🎧 Tune in for a conversation on the future of BI, meta-functional teams, and what it takes to connect data foundations with agentic outcomes.


Hosted on Ausha. See ausha.co/privacy-policy for more information.

Share

Embed

You may also like

undefined cover
undefined cover