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

Product Innovation Educators

An AI system, properly implemented, doesn’t have these same motivationsit simply reports what it finds in the data. AI’s Ability to Capture Emotional Needs One of the most surprising findings from AMS’s research was how effectively AI could identify emotion-infused customer needs.

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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. One example of an organization we worked with is Drexel University. This approach ensures youre only scaling what works.

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From 0 to UI in 60 seconds (sort of)

UX Planet

Simulate user actions—AI agents mimic realistic user behavior 5. Review behavioral insights: * Heatmaps * Bounce points * Confusion clicks or rage taps * Success/failure paths 6. AI sometimes over-engineered things. Example “smart prompts” by stitch. Create or select personas with intent and behavior traits (e.g.,

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

Modus Create

An important first step for any executive is to complete a self-assessment of your readiness to deploy intelligent apps and take advantage of all that AI has to offer life sciences. To get the most out of AI, it must be tuned to or trained for your specific needs using your data. Data quality is fundamental to any AI project.

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Outsourced Software Product Development: A Comprehensive Guide

Arkenea

Examples in Practice Startups often outsource MVP development to launch quickly. A global retailer engaged an external partner for endtoend development of a mobile loyalty app, including integration with POS systems, analytics dashboards, and thirdparty loyalty providers. Conduct unit, integration, system, and user acceptance testing.

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

Modus Create

In this post, Ill cut through the noise to highlight 8 AI trends poised to define product development in 2025 & beyond. Instead, they come from a rigorous review of five years of client work, 2024 sales inquiries, analyst insights, and industry offerings. My predictions arent based on whats simply popular or making headlines.

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Inside the AI Revolution in Digital Banking UX: Case Studies, Data, and Strategic Takeaways

UX Planet

Overall, banks that deployed AI at scale in 2024 reported significant improvements in digital channel usage and customer feedback. For example, Bank of America (US) announced its clients reached 26 billion digital interactions in 2024 (a 12% year-over-year increase), including 676 million interactions with its AI virtual assistant “Erica.”