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Our grand experiment with GPT and generative AI

Intercom, Inc.

 In December, our Director of Machine Learning, Fergal Reid , and I sat down to chat about the launch of ChatGPT : the good, the bad, the promise, the hype. In product development, customers are always the ultimate arbiter – you may build amazing technology, but if it doesn’t solve a problem for them, it’s not worth it.

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How to Think of R&D Spend

Andreessen Horowitz

Most growth-stage CEOs I work with know how to tell if they’re efficiently allocating capital in every part of their budget with one glaring exception: research and development (R&D). Focus on performance management of your product and engineering teams as early indicators for what R&D investments are working, and which aren’t.

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Who is Marty Cagan: Background, Books, Product Management Tips, and More

User Pilot

In many ways, he has shaped how successful products are built and how teams can be organized to work toward excellence. In this role, he drove the development of products that took eBay’s global e-commerce platform to new levels of success. Marty Cagan is a popular name in the product management world. Who is Marty Cagan?

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AI & CS: Innovate or stagnate

Totango

By prioritizing data privacy, security, and ethical practices, businesses can safely leverage AI tools to optimize processes, automate tasks, and uncover new opportunities for improving effectiveness and efficiency. So, what can CS teams do today? Let’s explore four ways AI can help address these challenges to improve CS impact.

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ChatGPT for Product Managers: 13 Best Prompts

User Pilot

TL;DR The machine learning-powered ChatGPT can help product managers generate ideas, conduct market and user research , analyze data (app store reviews, user feedback, etc.), Perform a SWOT analysis, identify the strengths and weaknesses of your top competing products, etc. ChatGPT generates AI-powered product ideas.

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Feature Prioritization Guide For Product Managers in 2024

User Pilot

They represent the customer’s voice and collaborate with product teams and stakeholders. The RICE framework evaluates features by weighing their Reach, Impact, and Confidence against the Effort required for development. Effort : How much time and work will be required from the team to build and release the feature?

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How Generative AI Will Turn Traditional SaaS Models On Their Head with AWS VP of Generative Builders Adam Seligman

SaaStr

Keep reading to learn what the four most common SaaS assumptions are, and watch Adam knock each one down with the power of generative AI. The good news is you have a big backlog, and the bad news is you have a big backlog. All these developers will have agents to help them write faster and faster. What’s the data model?