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529: Is this the best AI-powered market research approach? – with Carmel Dibner

Product Innovation Educators

How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams.

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529: Is this the best AI-powered market research approach? – with Carmel Dibner

Product Innovation Educators

How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams.

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OpenAI researcher on why soft skills are the future of work | Karina Nguyen (Research at OpenAI, ex-Anthropic)

Lenny Rachitsky

Before OpenAI, Karina was at Anthropic, where she led post-training and evaluation work for Claude 3 models, created a document upload feature with 100,000 context windows, and contributed to numerous other innovations.

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Product Pick’Em 2025: The Ultimate Startup Showdown

Productside

The biggest showdown in product management is BACK and this time, its all about the most promising startups. Welcome to Product PickEm 2025 , where the best emerging product tool startups go head-to-head in a bracket-style competition, and YOU decide which ones rise to the top via our LinkedIn polls on the Productside page.

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The Evolution of E-commerce: Trends & Statistics in 2022

The Product Coalition

Most importantly, big data and machine learning have paved the way for robotics automation and various software applications. Implementing advanced technologies are promoting successful businesses in their business operations such as Artificial Intelligence (AI), chatbots, and voice assistants. billion by 2025 from $46.2

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Product Ethics

Roman Pichler

Additionally, help the team become aware of algorithmic biases when using machine learning technology. If the data that is used to train the algorithms is biased, then your product’s recommendations will be biased too. of all carbon emissions by 2025; and.

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Product Ethics

Roman Pichler

Additionally, help the team become aware of algorithmic biases when using machine learning technology. If the data that is used to train the algorithms is biased, so will be your product’s recommendations. Therefore, ask the team members to take proactive steps and design for fairness when building machine learning programs.