Join our podcast hosts Lily Smith and Randy Silver for in-depth conversations with some of the best product people around the world! Every week they chat with people in the know, covering the topics that matter to you - solving real problems, developing awesome products, building successful teams and developing careers. Find out more, subscribe, and access all episodes on <a href="https://www.mindtheproduct.com/the-product-experience/">The Product Experience homepage</a>.

The Product Experience

Artificial Intelligence (AI) & Machine Learning (ML)

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

Louron serves as the Editor at Mind the Product, bringing nearly a decade of experience in editorial positions across business and technology publications. For any editorial inquiries, you can connect with him on LinkedIn or Twitter.

Louron Pratt

Artificial intelligence (AI)

LLM workflows for product managers: 3 key takeaways (Niloufar Salehi, Assistant Professor at UC Berkeley) – ProductTank SF

Ketaki Vaidya holds the position of AI Product Manager at Oracle, where her primary role involves creating and managing Artificial Intelligence Solutions for a hotel operations and distribution enterprise platform. Additionally, she hosts a podcast called “Personal Branding for Professionals,” which offers career development strategies to support professionals in building a thriving career in the tech industry.
Her work with organizations like Women in Data Science and Criya has provided her with a comprehensive understanding of the challenges women face in the tech industry, and she actively works towards creating an inclusive space for women. Her efforts have earned her recognition in Entrepreneur Magazine’s side hustle feature and the 1 Million Women in STEM campaign, which highlights the work and experiences of women in STEM and business to promote female role models for the next generation.
Ketaki is passionate about mentoring aspiring professionals interested in product/tech and has mentored more than 100 college graduates and professionals in securing their desired job roles and improving visibility at work in 2023. She has also been invited to deliver talks at about 15 conferences/podcasts including prestigious conferences like the Women in Product, Product World, and the Grace Hopper Celebration.

Ketaki Vaidya

The future of product management: Insights from ProductTank San Francisco

Product lessons learned making early moves with AI in media: Lindsey Jayne (CPO, Financial Times)

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

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Mind the Product

Guest Post

Building for change: When transformation and product management meet

Product Development

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

B2B product management

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! 🎉

Why teams often struggle with OKRs: A conversation with Jeff Gothelf

Lessons from my first year as a Prod Ops Manager

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

Eira Hayward

AI governance

Perplexity lawsuit sends warning to product managers

Prerna is an expert in the field of artificial intelligence, software products, and B2B platforms for the past 14 years. She has a track record of building $XMM AI/ML products across Amazon AGI, Amazon Retail, Walmart Labs, and Points.com. In her latest role, she is building Generative AI platforms and products for a wellness startup.

Prerna Kaul

Growing a unicorn: Inside DeepL (Justyna Walkowska, Product Director)

Archana comes with 9+ years of experience in Product Management, Data Analytics and Machine Learning with Masters in Computer Technology. Archana's expertise is in Telecom, Fraud and Finance Domain with work experience in Microsoft and American Express.

Archana Kumari

How to build an AI product that doesn’t suck

Poll results: What tools are product managers using the most?

Lisa Murkin is a Senior Product Manager at Elsewhen, a digital product consultancy, with over 10 years of experience building digital products for B2B SaaS and B2C organisations, including roles at Accenture, Arcadia, and Photobox. Passionate about GenAI, Lisa is driven by the exploration of untapped problems and potential solutions. She believes Product Management is about bridging business goals with engineering capabilities, weaving user needs into every stage of development to create impactful products that resonate.

lisa Murkin

Learning from experience: Key takeaways from our GenAI project

AI and product-led growth go hand in hand – Nichole Mace (SVP, Product, User Experience at Pendo)

Liz is a content manager for Pendo and writes about evolving best practices and trends within the world of product. When she’s not 50 web tabs deep researching, reading, or writing, Liz is probably thinking about one of those three things.

Liz Fieno

20 ways to build AI/ML products

As a Senior Product Manager-Technical at Amazon, Ananti brings over 8 years of industry experience, including 5 years dedicated to driving automation and machine learning-driven products for fraud prevention and data protection. Her expertise lies in harnessing advanced technologies to create strategic and robust solutions that enhance customer experience, streamline operations and safeguard customer trust.
She holds an MBA and a bachelor’s degree in Electronics Engineering, which have equipped her with a strong foundation in both business strategy and technical acumen. Throughout her career, she has led cross-functional teams to develop innovative products that address complex challenges in the e-commerce and technology sectors.
She is passionate about leveraging cutting-edge technologies to enhance security posture, optimize performance, and deliver exceptional value to customers.

Artificial Intelligence (AI) & Machine Learning (ML)

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