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LeaderbookAI

LeaderbookAI

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Özet
 LeaderbookAI is where leadership meets AI execution. Join Felicia Shakiba for candid conversations with CEOs, executives, investors, and operators making high-stakes decisions in real time. From enduring leadership principles and decision frameworks to practical AI strategies that drive measurable results, this podcast delivers the clarity leaders need to move faster — and create real value.417554 Economics Management Management & Leadership Personal Finance
Bölümler
  • Inside the Mind of a CEO: Deciding with Impact I KP Reddy

    Inside the Mind of a CEO: Deciding with Impact I KP Reddy
    3 Nov 2026
    AI makes prototyping easier. Building a business that lasts still depends on clear priorities, close customer contact, and sound judgment. Felicia Shakiba speaks with entrepreneur and investor KP Reddy about his return to the operator’s seat with Zero RFI, applying AI to construction, and what he looks for in early-stage founders. They discuss how a North Star guides decisions as a business changes, why founders need direct contact with customers, and how intellectual curiosity shapes the relationship between founders and investors. KP also explains why CEOs and boards should build with AI themselves, drawing on his hackathons for non-coders. In this episode: Applying AI to construction and traditional industries Using a North Star to guide a changing business Customer discovery and founder commitment Evaluating founders when prototyping is easier Why investors need to keep learning Hands-on AI experience for executives More conversations: https://leaderbook.ai/podcast
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    1 sa. ve 7 dk.
  • The Human Side of People Analytics: What AI Can't Replace I Bessemer Venture Partners, Todd Carlisle

    The Human Side of People Analytics: What AI Can't Replace I Bessemer Venture Partners, Todd Carlisle
    27 Oct 2026
    Why do well-supported people decisions still meet resistance? Todd Carlisle, Partner and Chief People Officer at Bessemer Venture Partners, joins Felicia Shakiba to discuss how leaders can make data useful in real conversations and evaluate where AI belongs in HR. Todd explains how he prepares stakeholders before a meeting, combines employee stories with engagement data, and considers the personal peer groups that shape expectations about pay. He also shares four practical criteria for evaluating AI and the moments when human judgment still matters. In this episode Prepare stakeholders before presenting a decision, and pair the numbers with employee stories. Understand why employees’ chosen compensation peers may differ from your formal benchmarks. Assess AI through time saved, money saved, employee experience and the HR team’s experience. Thank you to our sponsors Ikon Analytics at the People Analytics World Conference for hosting. Chapters 00:00:00 Teaser and introduction 00:01:35 Building people analytics at Google 00:03:01 Why correct analysis can fail to persuade 00:06:59 When data meets human assumptions 00:08:00 Preparing stakeholders before decisions 00:11:42 Making compensation data land 00:14:12 Persuading the head and the heart 00:17:12 Pairing employee stories with data 00:19:37 Benchmarking and employees’ chosen peers 00:21:24 Compensation transparency and fairness 00:23:16 Variable pay and performance 00:26:02 Measuring AI’s return on investment 00:31:14 Human judgment and empathy in HR 00:33:42 Learning development and mentorship 00:36:01 Leadership advice for investment firms About the hostFelicia Shakiba is the founder and CEO of LeaderbookAI and an industrial-organizational psychologist. She advises capital-backed companies on leadership, execution and AI transformation. About LeaderbookAI LeaderbookAI offers consulting and AI-powered diagnostics for private equity and portfolio companies. Explore how LeaderbookAI can support your team. Follow the LeaderbookAI podcast in your listening app for more conversations with leaders. More episodes: ⁠The LeaderbookAI Podcast : AI in Business
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    38 dk.
  • How to Build a Tech-First Manufacturing Strategy

    How to Build a Tech-First Manufacturing Strategy
    20 Oct 2026
    A customer wants to spend more, but your revenue model gives you a reason to say no. Brent Hagan, Chief Supply Chain Officer at Lob at the time of recording, joins Felicia Shakiba to discuss how that tension exposed a gap between the company's metrics and the value customers needed. They examine operating-model change, manufacturing partnerships, AI-enabled scale and the personal cost of executive success. IN THIS CONVERSATION • Recognizing when subscription metrics obscure customer value • Building credibility for change through early operating wins • Connecting culture, accountability and decision ownership • Reshaping manufacturing partnerships around dependable capacity • Using AI for scale, consistency and materials routing • Reconsidering ambition, health and family priorities CHAPTERS 00:00 The customer deal Lob initially refused 00:38 Introducing Brent Hagan 01:10 Subscription metrics versus manufacturing economics 05:44 Challenging the business model from inside 09:42 Building credibility through quick wins 11:50 Leadership changes, culture and accountability 15:18 Clarifying decision ownership 18:06 Reshaping manufacturing partnerships 26:08 Using AI for scale, not just cost 28:17 AI-powered materials routing 29:58 The family letter that changed Brent's priorities 34:19 When career success stops feeling like success 37:14 Are your metrics aligned with customer value? ABOUT THE GUESTS Brent Hagan is the Chief Supply Chain Officer at Lob. In this conversation, he shares his experience changing the company's operating model and manufacturing network.
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    39 dk.
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