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Don’t Use Generative AI to Replace Discovery with Real Humans

Product Talk

I’m disappointed to see the rise of generative AI tools that are designed to replace discovery with real humans. I’m a big fan of generative AI. Tweet This So I want to take some time to review why we do discovery. I also want to note that the world of generative AI is moving quickly.

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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. However, these early efforts faced significant limitations.

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Outsourced Software Product Development: A Comprehensive Guide

Arkenea

In a fastmoving digital economy, many organizations leverage outsourced software product development to accelerate innovation, control costs, and tap into global expertise. Rather than building and maintaining a large inhouse team, businesses partner with specialized vendors to handle design, development, testing, and deployment.

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8 AI trends that will define product development in 2025 & beyond

Modus Create

8 AI trends that will define product development By Greg Sterndale Posted in Digital Transformation , Product Published on: February 12, 2025 Last update: February 10, 2025 From modular architecture to agentic AI How product development will evolve in 2025 & beyond In product development, change is the only constant.

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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. However, these early efforts faced significant limitations.

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De-risking your 2025 initiatives: Why every intelligent app must start with a PoC

Modus Create

Gartner estimates that through 2025, at least 30% of generative AI projects will fail after PoC due to poor data quality, inadequate risk controls, escalating costs, or unclear business value. Uncertain outcomes: Without real-world validation, predicting an AI systems performance or business impact can be challenging.

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

Modus Create

McKinsey has estimated that AI technology could generate $60 billion to $110 billion per year in economic value for the pharma and medical-product subsectors alone. With the average cost of developing a new drug at approximately $2.3 Data quality is fundamental to any AI project. Here are five questions to ask.