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As a battle-scarred TPM in a startup, I navigate the intersection of Technical Program Management and AI. Join me as I share insights on vendor evaluation, ethical considerations, rollout strategies, and maintaining feedback loops to ensure sustainable AI adoption.
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In the fast-paced realm of tech, mastering processes is essential for TPMs. From incident management to SLOs, I share insights on navigating the fine line between bureaucracy and agility, especially in an AI context. Join me as I reflect on the trials and triumphs of effective process management.
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Every TPM knows that navigating stakeholder dynamics is like juggling flaming torches while riding a unicycle. Let’s explore how to build empathy, adapt communication, and align diverse teams in the world of AI projects.
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Navigating the turbulent waters of AI project management requires a TPM's finesse in stakeholder dynamics. Join me as I reflect on the subtle art of aligning diverse teams and building empathy amidst the hype surrounding generative models.
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As a TPM in the AI landscape, I navigate the complexities of stakeholder engagement. Here’s how I adapt my communication style to bridge the gaps between execs, PMs, and engineers, all while building empathy and resolving conflicts in uncertain terrains.
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AI is a buzzword that can drown out the real work needed for effective implementation. As a TPM, I’ve learned how to navigate vendor evaluations, ethical concerns, and rollout phases to ensure that AI projects are not just innovative, but sustainable and impactful.
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After a challenging product launch, a skeptical Technical Program Manager reflects on the intricate dance of stakeholder alignment, the importance of empathy, and the power of adaptive communication in navigating the complexities of tech projects.
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Diving deep into the multifaceted risks associated with AI, this post explores the crucial role of Technical Program Managers in risk discovery and mitigation. From dependency risks to ethical dilemmas, it’s time to sharpen our playbooks and prepare for the unexpected.
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Join a startup TPM as they navigate the wild world of AI projects, balancing chaos with strategy. Learn how to evaluate vendors, set ethical guardrails, and ensure sustainable adoption—all while keeping a sense of humor intact.
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In the chaotic realm of startups, TPMs navigate dependency risks, schedule uncertainties, and ethical dilemmas in AI. This article unpacks proactive strategies and real-time escalation techniques that turn risks into opportunities.
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Metrics can tell a story, but only if we choose the right ones. In the realm of TPMs, understanding leading vs lagging indicators, KPI trees, and the risks of vanity metrics is crucial. Let’s explore how to make data work for us—and avoid the pitfalls.
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As I look back from 2030, the role of TPMs in navigating the complex landscape of AI risk has been pivotal. From dependency and schedule risks to ethical quandaries, my journey reveals lessons in proactive playbooks and real-time responses that shaped our tech landscape.