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Generative AI in Your Business Strategy: From Concept to Reality

The Product Coalition

Generative AI is poised to bring about a significant transformation in the enterprise sector. According to a study by McKinsey, the application of generative AI use cases across various industries could generate an astounding $2.6 Many have a well-defined AI strategy and have made considerable progress.

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Using Generative AI to Drive Corporate Impact

TechEmpower - Product Management

Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.

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How to Use Generative AI and LLMs to Improve Search

TechEmpower - Product Management

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.

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

UX Planet

A deep dive into how artificial intelligence is shaping the next generation of financial user experiences — through metrics, strategy, and real success stories Until recently, most banks and financial organizations treated artificial intelligence (AI) as tomorrow’s experiment. Almost every bank is at least planning for GenAI.

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510: How to use these AI tools to create a product brief – with Brian Collard

Product Innovation Educators

AI can help in many parts of making a product, from research to writing product plans and documents. To use AI well in product management, we need to know how to ask it questions (called prompt engineering), balance AI ideas with human know-how, and always double-check AI’s work.

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Outsourced Software Product Development: A Comprehensive Guide

Arkenea

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. Engagement rates increased by 45percent, and the client reported a 30percent boost in trial signups directly attributed to the AI enhancements.

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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.