AI, Scrum & the Future of AI-Augmented Teams | Dr. Jeff Sutherland | AI Accelerator Podcast

カートのアイテムが多すぎます

ご購入は五十タイトルがカートに入っている場合のみです。

カートに追加できませんでした。

しばらく経ってから再度お試しください。

ウィッシュリストに追加できませんでした。

しばらく経ってから再度お試しください。

ほしい物リストの削除に失敗しました。

しばらく経ってから再度お試しください。

ポッドキャストのフォローに失敗しました

ポッドキャストのフォロー解除に失敗しました

AI, Scrum & the Future of AI-Augmented Teams | Dr. Jeff Sutherland | AI Accelerator Podcast

無料で聴く

ポッドキャストの詳細を見る

【Amazonプライム会員限定】今ならプレミアムプランが4か月月額99円。

10月19日まで。※適用条件あり

What happens when you combine Scrum, artificial intelligence, and autonomous AI agents?In this episode of the AI Accelerator Podcast, Matt Zembruski sits down with Dr. Jeff Sutherland, co-creator of Scrum and Scrum@Scale and a signatory of the Agile Manifesto, to explore how Scrum is evolving for an AI-powered world.Jeff's background in AI goes back decades, including his work at the Stanford AI Lab with John McCarthy and his involvement with the MIT AI Lab, where he provided development space for Rodney Brooks as he worked on autonomous robotics.Today, Jeff is applying those lessons to AI-native teams through ScrumAI.org, exploring how humans and AI agents can work together through disciplined protocols, autonomous teams, and AI-augmented workflows.The conversation covers everything from the origins of Scrum to AI agents running software development work, AI-powered infrastructure management, and what business leaders need to consider as AI changes the way organizations operate.In This Episode, Dr. Jeff Sutherland Discusses:His early work at the Stanford AI Lab and connection to John McCarthyHis experience with Rodney Brooks and the development of autonomous roboticsHow lessons from robotics influenced the creation of ScrumWhy Jeff describes Scrum as a protocolWhy AI agents need structured processes and protocolsHow Scrum can be adapted for AI-augmented teamsThe role of AI agents in software developmentUsing AI to manage servers and technology infrastructureThe emerging model of AI-augmented Scrum teamsHow AI can amplify the capacity of a teamMeasuring AI contribution alongside human workThe changing roles of Product Owners and Scrum MastersWhat CEOs and executives need to do to adapt to AIHow organizations can begin building AI capabilitiesThe future of AI-native organizationsChapters00:00 - Welcome to the AI Accelerator Podcast01:01 - Meet Dr. Jeff Sutherland, Co-Creator of Scrum02:22 - Jeff's Early AI Journey at Stanford04:37 - From AI Databases to Autonomous Robotics06:27 - How Robotics Inspired Scrum07:27 - Scrum as a Protocol for AI Agents09:33 - Jeff's OpenClaw Project and AI Stack10:15 - Building AI-Powered Infrastructure Operations13:43 - ScrumAI and Scrum@Scale for AI Agents15:20 - Using AI to Amplify Teams16:23 - Measuring AI Contribution in Scrum17:41 - What Business Leaders Need to Know About AI19:45 - What Jeff Is Building at ScrumAI.org20:50 - How CEOs Can Start Adapting to AI22:12 - The AI Adoption Gap23:16 - How to Connect With Jeff24:12 - Closing ThoughtsThe transcript traces Jeff's AI background from Stanford and MIT through robotics and into his current work applying Scrum to AI agents.Key Learnings1. AI Doesn't Eliminate the Need for ProcessJeff argues that AI agents can make the same kinds of mistakes humans make, but they can make them much faster. His approach is to build the Scrum protocol directly into AI-driven workflows so that agents operate within defined structures.2. Scrum Can Be Applied to AI AgentsJeff describes Scrum as a protocol for creating autonomous, self-organizing teams that collaborate toward a goal. In his current work, he is exploring how that protocol can be applied to teams that include AI agents.3. AI Can Amplify Existing TeamsRather than simply replacing people, Jeff discusses using AI to augment teams and increase their capacity. He describes a goal of making a single team capable of producing the value of multiple traditional teams.4. AI Work Can Be Measured Within Existing Scrum PracticesJeff explains how his web team is tracking AI-generated work alongside human work on the Jira board, including measuring the story points completed by AI and humans during a sprint.5. Leaders Need to Build AI Capability NowJeff's advice to executives is centered on education and organizational adaptation. He describes the need for companies to identify people who understand AI deeply and begin building structured programs to help the organization adapt.6. AI Requires Continuous AdaptationA major theme of the conversation is the pace of change. Jeff argues that leaders need to continuously educate their teams and learn how to use new tools rather than treating AI as a temporary technology trend.💬 Jeff Sutherland's Key Insights“Simple rules generate really smart behavior really fast.”“Scrum is really a protocol.”“They really need Scrum more than the humans, because they screw up faster than humans.”“The goal is to augment the team and make the single team worth 10 teams.”About Dr. Jeff SutherlandDr. Jeff Sutherland is the co-creator of Scrum and Scrum@Scale and a signatory of the Agile Manifesto. His career in technology and AI spans decades, including early work at the Stanford AI Lab under John McCarthy and work connected to the MIT AI Lab and Rodney Brooks.Today, Jeff focuses on writing, consulting, and applying Scrum principles to AI through ScrumAI.org. His current work explores how humans and autonomous AI agents can operate together through ...

まだレビューはありません