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515: Case studies of organizational growth through successful product launches – with James Whitman

Product Innovation Educators

A framework for product launch success Watch on YouTube TLDR In this episode of Product Mastery Now, I interview James Whitman, author of LAUNCH Code and founder of Growth Guidepost. His LAUNCH Code framework offers a practical approach to product launch management that any organization can implement.

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How Smart PMs Scale Their Careers in Any Org [TPG Live Recap]

The Product Guy

You can get access to all of it on The Product Way Patreon plus weekly content including: product frameworks, case studies, deep dives, and more! Here’s what came up: Understand process debt versus governance bloat. Before we dive into the highlights… Want the full, enhanced recap with strategy tools you can use right now?

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🚀 The AI Product Manager: How Artificial Intelligence is Transforming the PM Role

The Basics of Product Management

Integrating these predictions into prioritization frameworks leads to data-informed, bias-resistant decisions. AI Ethics & Governance Identify bias, ensure fairness, and comply with data privacy laws (e.g., Pro Tip : Establish an internal AI governance framework with clear guidelines on usage, auditing, and escalation.

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Strategies to mitigate AI security and compliance risks

Modus Create

Develop a comprehensive AI security program Implementing effective data governance is essential but must be part of a broader security strategy that addresses the complexities of AI and LLM applications. Avoidance of legal and regulatory penalties As AI technologies evolve, so do the legal and regulatory frameworks surrounding them.

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations.

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Positioning in the Age of AI: What Founders Need to Know

Business of Software Conference

Regulated Industries = AI Caution On the flip side, in healthcare, government, or financial services, leaning too hard into your AI messaging can set off alarm bells. Positioning in these spaces often means downplaying the AI and focusing instead on risk mitigation, reliability, or compatibility.

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Are you ready to transform life sciences with intelligent apps? Five questions to help kickstart your AI journey

Modus Create

Do you have the right data infrastructure and governance in place? These challenges manifest in various forms, from poor data quality and reliability to inaccessible data sources, stemming from disparate systems and a lack of governance. Here are five questions to ask. Data quality is fundamental to any AI project.