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

UX Planet

The shift was dramatic: global AI adoption rocketed to 78% of all organizations — up from just 20% in 2017 — while an extraordinary 91% of bank boards formally approved Gen-AI programs, according to NTT and McKinsey. The payoff is already visible in richer digital experiences, sharper personalization and faster, safer service.

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Exploring Medical Applications of Computer Vision in Healthcare

The Product Coalition

The healthcare software development industry is no stranger to computer vision applications. CT scans, MRIs, and X-rays all use computer vision technologies to some level. Doctors have employed software for years to analyze imaging data, diagnose patients, and recommend therapies. from 2023 to 2030.

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Digital transformation is more than AI: you still need a customer-focused strategy

Modus Create

Generative AI captured the world’s imagination and received unprecedented attention. Businesses and governments are scrambling to understand the implications of this technology, now at the fingertips of everyday consumers. PwC predicts AI will boost the North American GDP by 14% in 2030. But 2023 felt different.

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Strategic Foresight: An Edge Product Teams Need Now

BrainMates

Consider the generative AI revolution: in under two years, entire product categories, from content generation to software development tooling, are being reshaped. Teams that had explored scenarios around AI-human collaboration were better positioned to respond with new offerings and responsible guidelines.