web02.fireside.fm Thu, 21 May 2026 00:37:51 -0500 Fireside (https://fireside.fm) High Signal: Data Science | Career | AI - Episodes Tagged with “Agents” https://highsignal.fireside.fm/tags/agents Tue, 02 Sep 2025 06:00:00 -0400 Welcome to High Signal, the podcast for data science, AI, and machine learning professionals. High Signal brings you the best from the best in data science, machine learning, and AI. Hosted by Hugo Bowne-Anderson and produced by Delphina, each episode features deep conversations with leading experts, such as Michael Jordan (UC Berkeley), Andrew Gelman (Columbia) and Chiara Farranato (HBS). Join us for practical insights from the best to help you advance your career and make an impact in these rapidly evolving fields. More on our website: https://high-signal.delphina.ai/ en-us episodic Welcome to High Signal, where you’ll hear the best from the best in data science, machine learning, and AI. The goal of this podcast is to bring high signal, to help you advance your careers in data science, ML, and AI. Delphina Welcome to High Signal, the podcast for data science, AI, and machine learning professionals. High Signal brings you the best from the best in data science, machine learning, and AI. Hosted by Hugo Bowne-Anderson and produced by Delphina, each episode features deep conversations with leading experts, such as Michael Jordan (UC Berkeley), Andrew Gelman (Columbia) and Chiara Farranato (HBS). Join us for practical insights from the best to help you advance your career and make an impact in these rapidly evolving fields. More on our website: https://high-signal.delphina.ai/ no data, data science, machine learning, AI Delphina hugobowne@gmail.com Episode 23: Why Most AI Agents Fail (and What It Takes to Reach Production) https://highsignal.fireside.fm/23 3531ded6-bf39-4eea-b697-b5aa6b41c6dd Tue, 02 Sep 2025 06:00:00 -0400 Delphina full Delphina Anu Bharadwaj (President, Atlassian) joins High Signal to unpack how humans and AI agents will work together across the enterprise, and how that shift could change the very nature of teamwork. Atlassian employees have already built thousands of agents across product, marketing, engineering, and HR teams, while customers like HarperCollins are cutting manual work by 4x as industries from publishing to finance rethink their workflows. We dig into how Atlassian’s culture enables bottom-up experimentation, why grounding and reliability are critical for adoption, and how non-technical teams are often the ones creating the most useful agents. The conversation also looks ahead to the frontiers of multiplayer agent collaboration, proactive and ambient workflows, and the governance and compliance challenges enterprises will face as agents move from tools to teammates. 51:17 no <p>Anu Bharadwaj (President, Atlassian) joins High Signal to unpack how humans and AI agents will work together across the enterprise, and how that shift could change the very nature of teamwork. Atlassian employees have already built thousands of agents across product, marketing, engineering, and HR teams, while customers like HarperCollins are cutting manual work by 4x as industries from publishing to finance rethink their workflows.</p> <p>We dig into how Atlassian’s culture enables bottom-up experimentation, why grounding and reliability are critical for adoption, and how non-technical teams are often the ones creating the most useful agents. The conversation also looks ahead to the frontiers of multiplayer agent collaboration, proactive and ambient workflows, and the governance and compliance challenges enterprises will face as agents move from tools to teammates.</p> <p><strong>LINKS</strong></p> <ul> <li><a href="https://www.linkedin.com/in/anutthara/" target="_blank" rel="nofollow noopener">Anu on LinkedIn</a></li> <li><a href="https://www.anthropic.com/engineering/building-effective-agents" target="_blank" rel="nofollow noopener">Building effective agents by Erik Schluntz and Barry Zhang at Anthropic</a></li> <li><a href="https://www.anthropic.com/engineering/multi-agent-research-system" target="_blank" rel="nofollow noopener">How we built our multi-agent research system by Anthropic</a></li> <li><a href="https://youtu.be/898M86sKIi8?si=YGoekFzVJ0UH6pCJ" target="_blank" rel="nofollow noopener">Watch the podcast episode on YouTube</a></li> <li> <a href="https://delphinaai.substack.com/" target="_blank" rel="nofollow noopener">Delphina's Newsletter</a> </li> </ul> AI, agents, machine learning Anu Bharadwaj (President, Atlassian) joins High Signal to unpack how humans and AI agents will work together across the enterprise, and how that shift could change the very nature of teamwork. Atlassian employees have already built thousands of agents across product, marketing, engineering, and HR teams, while customers like HarperCollins are cutting manual work by 4x as industries from publishing to finance rethink their workflows.

We dig into how Atlassian’s culture enables bottom-up experimentation, why grounding and reliability are critical for adoption, and how non-technical teams are often the ones creating the most useful agents. The conversation also looks ahead to the frontiers of multiplayer agent collaboration, proactive and ambient workflows, and the governance and compliance challenges enterprises will face as agents move from tools to teammates.

LINKS

]]> Anu Bharadwaj (President, Atlassian) joins High Signal to unpack how humans and AI agents will work together across the enterprise, and how that shift could change the very nature of teamwork. Atlassian employees have already built thousands of agents across product, marketing, engineering, and HR teams, while customers like HarperCollins are cutting manual work by 4x as industries from publishing to finance rethink their workflows.

We dig into how Atlassian’s culture enables bottom-up experimentation, why grounding and reliability are critical for adoption, and how non-technical teams are often the ones creating the most useful agents. The conversation also looks ahead to the frontiers of multiplayer agent collaboration, proactive and ambient workflows, and the governance and compliance challenges enterprises will face as agents move from tools to teammates.

LINKS

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