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Generative AI and Its Approach to Design

UX Planet

How New Heuristics Are Reshaping the Creative Process Between Humans andMachines Image generated byChatGPT When the wave of generative AI tools began flooding the market, I must confess my reaction was mixed: a sense of fascination for the possibilities and concern for the ethical challenges looming on the horizon.

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519: Product verification, most important of the 19 activities of product management – with Nishant Parikh

Product Innovation Educators

As the field continues to evolve, those who understand these core activities and how to adapt them to their specific context will be best positioned to create successful products that truly meet customer needs while delivering business value.

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How to navigate the explosion of AI tools aimed at product managers

Mind the Product

According to a 2024 Forbes Advisor poll, the vast majority of people (79%) in the UK are already using generative AI, such as ChatGPT, to help them with their work while one in six UK organisations have embraced at least one AI technology.

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AI and Product Strategy

Roman Pichler

Customer Insights and Idea Generation AI tools can analyse market data, customer feedback, and emerging trends to suggest new products and features, assuming that enough relevant data is available. For example, you can use an AI tool to analyse support tickets to discover and address common issues. 9] Clayton. Christensen.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.

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Y Oslo 2024: When It Comes to Discovery, Something is Better Than Nothing

Product Talk

How we build might change with generative AI. Maybe how we synthesize customer needs might change with generative AI, but those broad buckets, I think, are fairly stable. I’m really excited about generative AI. I’m really excited about generative AI from a teaching standpoint.

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7 Key Design Patterns for AI Interfaces

UX Planet

Design Patterns: - Inline AI suggestions (ghost text, tooltips) - Slash commands for invoking actions - Multi-modal inputs (typing + drag & drop) - Real-time co-creation with visible AI feedback - Easy undo/accept of AIchanges 2. The key challenge here is designing trustworthy and helpful dialogues.