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)

Eira is an editor for Mind the Product. She's been a business journalist, editor, and copywriter for longer than she cares to think about.

Eira Hayward

GenAI: The holy grail of product personalisation by Joe Futty – Pendomonium+#mtpcon roadshow: Amsterdam 2024

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

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Leading product ops at Delivery Hero with Koen Dubelaar

Connecting fans to creators at Spotify (Dariusz Dziuk, Product Lead, Spotify)

Everything wrong with the product management job market. And how to fix it

Mistakes, learnings, and a product person’s relentless journey into leadership

Lorian is a product professional and independent researcher immersed in Stockholm’s tech scene, with expertise spanning lifestyle and entertainment technology, internet and consumer tech, B2B/B2C hardware, and internal tools. This diverse experience allows her to bring a nuanced perspective to each project. As the cofounder and former organiser of ProductTank Oslo, she has also played a pivotal role in fostering a community of product professionals and driving conversations about innovation and best practices in product development. Passionate about the intersection of technology and society, she conducts research exploring how technology shapes everyday life, with a special focus on internet and mobile phone studies. Her published work highlights her commitment to understanding the broader impact of our digital interactions.

Lorian Leong

How to build AI products that users trust: 3 core focus areas to stay user-centric

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

Generative UI for product managers: A new frontier

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

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

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?

Learning from experience: Key takeaways from our GenAI project

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)

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