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Building for change: When transformation and product management meet

Product Development

What are product features? Definition, examples, and 5 types

B2B product management

Artificial Intelligence (AI) & Machine Learning (ML)

Building Product Teams

Business Strategy

Data Driven Product Management

Digital Transformation

Diversity and Inclusion

Minimum Viable Product

OKRs

Prioritisation

Product Design

Product Research

Product Development Process

Product Ethics

Product Discovery

Product Leadership

Product Management Career

Product Strategy

Stakeholder Management

🌎 <a href="https://www.mindtheproduct.com/world-product-day/" style="color:#FFFFFF;text-decoration:underline;">Happy World Product Day!</a> Be sure to celebrate product, yourself, and your peers today! 🎉

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How Google makes AI work at Enterprise scale – Miku Jha (Director, AI/ML and Generative AI, Google Cloud)

5 ways to invent and simplify as an AI/ML product manager

Louron Pratt

Artificial Intelligence (AI) and its influence on product management have gained significant prominence recently, particularly with the emergence of language learning-based tools like ChatGPT. With just 11 days until #mtpcon London, let&#8217;s delve into the valuable insights shared by some of the keynote speakers.
<h2>Can AI Create a Fairer World? By Kriti Sharma</h2>
At #mtpcon London in 2019, <a href="https://www.linkedin.com/in/kritisharma3/">Kriti Sharma</a> delivered an enlightening keynote discussing the profound effects of AI on decision-making.
<img decoding="async" src="https://www.mindtheproduct.com/wp-content/uploads/2023/10/065599ce-eb68-4e59-ad87-640725e4e800_Kriti-Sharma-speaking-at-mtpcon-London-2019-1024x684-1.jpg" alt="" />
Key takeaway: We have an obsession with giving AI systems a personality. Alexa, Siri and Cortana, for example, are mostly female and help with tasks such as ordering shopping. Male examples like IBM Watson and Salesforce Einstein make important business decisions for us. There is much gender inequality in how we design AI and machine learning personas. Kriti believes that we should do better.
She emphasized the ethical responsibility of product managers and developers in ensuring that AI technologies are developed and utilized with a strong commitment to fairness, diversity, accountability, and transparency. The goal is to forge a more just and equitable world.
<a href="https://www.mindtheproduct.com/can-ai-create-a-fairer-world-by-kriti-sharma/">Watch Kriti Sharma&#8217;s full talk here</a>
<h2>A gentle introduction to AI in product by Rand Hindi</h2>
In the concluding keynote session of #mtpcon London 2022, Rand Hindi, CEO at Zama, embarked on a journey through the history of AI. He explored its present contributions to society and raised crucial questions about preventing its misuse.
<img decoding="async" src="https://www.mindtheproduct.com/wp-content/uploads/2023/10/2e990d41-b95f-49a1-b52d-3e7ee6bb70c5_52437518880_104f2513fe_o201.jpg" alt="" />
Key takeaway: Rand stressed the imperative need for countermeasures to thwart AI misuse, advocating for the integration of safeguards into AI systems to ensure responsible behavior. He also underscored the significance of addressing biases in AI data to avoid perpetuating unfair or discriminatory outcomes. Rand presented two possible future directions for AI: one where technology overwhelms individuals and erodes privacy, and another where it enhances creativity and productivity, aiding in tasks people prefer not to do themselves.
<a href="https://www.mindtheproduct.com/a-gentle-introduction-to-ai-in-product-by-rand-hindi/">Watch Rand Hindi&#8217;s full talk here</a>
<h2>Building Products AI-First by Aparna Chennapragada</h2>
In a comprehensive talk from Mind the Product San Francisco 2017, Aparna Chennapragada, Product Director and Technical Assistant to the CEO at Google, unpacked four compelling ideas about how AI is reshaping our perceptions of products and experiences.
<img decoding="async" src="https://www.mindtheproduct.com/wp-content/uploads/2023/10/611ced13-c502-49af-a093-c2ec2ef7341a_aparna-chennapragada-mtpcon-sf-2017-conclusion.jpg" alt="" />
Key Takeaway: Machine learning and AI are revolutionizing human-computer interactions, enabling more intuitive engagements through voice and gestures. Product managers are encouraged to consider how AI can empower users, recognize the importance of training AI alongside product development, and explore novel product concepts rooted in AI capabilities such as data classification, comprehension, prediction, and data generation. Embracing AI-first products is essential to meet evolving customer expectations.
<a href="https://www.mindtheproduct.com/building-products-ai-first-aparna-chennapragada/">Watch Aparna Chennapragada&#8217;s full talk here</a>
In the evolving landscape of product management, AI is a transformative force that necessitates ethical considerations and proactive measures to ensure a brighter, more equitable future. These insights from #mtpcon London&#8217;s keynote speakers shed light on the path forward.

core/freeform

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A year with ChatGPT and product innovation: Navigating the AI landscape

How to keep your head about generative AI (when everyone is losing theirs) by Claire Woodcock

What we get wrong about technology by Tim Harford

Product management in the age of ChatGPT by Yana Welinder

How Canva uses AI-powered features to drive PLG

The role of an AI product manager by Hiroki Nakamura

AI and product ethics: London highlights

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AI and product ethics: London highlights

Louron Pratt

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