Remove Artificial Inteligence Remove Engineering Remove Generative AI
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519: Product verification, most important of the 19 activities of product management – with Nishant Parikh

Product Innovation Educators

Requirements Engineering Following roadmap creation, requirements engineering emerges as a crucial activity where product strategy meets technical execution. This phase highlights the important distinction between product manager and product owner roles, particularly in Agile environments.

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

Product Talk

We need engineers involved throughout. I started my career as a software engineer. The Evolution of Modern Product Discovery: A Quick Recap Back in the ’90s, a lot of times these decisions came from executives, from business stakeholders, and we treated our engineers like they were IT order-takers.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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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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Generative AI – The End of Empty Textboxes

TechEmpower - Product Management

On a different project, we’d just used a Large Language Model (LLM) - in this case OpenAI’s GPT - to provide users with pre-filled text boxes, with content based on choices they’d previously made. This gives Mark more control over the process, without requiring him to write much, and gives the LLM more to work with.

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.