AI Product Craft Newsletter: Helping Non-Technical Professionals Excel In AI/ML Product Management

👋 Hello, and welcome to the AI Product Craft Newsletter. I am Patrick Ncho, Creator and Curator. My goal is to empower product leaders, strategists, marketers, designers and business decision-makers with minimal technical expertise in AI or hands-on experience in machine learning systems development to excel in AI/ML product management.

This newsletter offers three distinct content angles, providing comprehensive guidance for improving their AI/ML product management and leadership skills, building and growing successful AI/ML-powered products:

• AI/ML PRODUCT BUILDERS ANGLE

  • Gain a comprehensive understanding of the full AI/ML product lifecycle, from ideation and design to launch and ongoing optimization.

  • Explore best practices for each stage, equipping you with insights to effectively manage and guide AI/ML product development.

  • Learn strategies for designing user-centric AI products that seamlessly blend functionality, usability, and aesthetics.

  • Through practical insights, use-cases, and actionable guidance, this angle empowers you to navigate the practical challenges of building and deploying AI/ML solutions, even with limited hands-on technical expertise.

• AI/ML TECHNOLOGY STACKS ANGLE

  • Gain an understanding of the key technology stacks and architectures behind AI/ML-driven product development.

  • Get insights into the core technologies, algorithms, and technical foundations enabling cutting-edge AI models and systems.

  • While avoiding deep technical details, this angle provides an accessible overview to help non-technical professionals appreciate the technical landscape.

• AI/ML PRODUCT STRATEGY ANGLE

  • Explore strategies for successful AI/ML product development by bridging innovation and market demands.

  • Gain insights into AI adoption strategies across industries and understand real-world use cases.

  • Dive into the critical role of data in AI, uncovering strategies for collecting, analyzing, and utilizing data ethically and responsibly.

  • Examine the broader societal implications of AI and ethical considerations inherent in AI & ML product development, ensuring alignment, safety, trust and responsible innovation.

Explore insightful, curated articles across various categories:

AI Product Trends & Use Cases

Explore the latest advancements and practical applications shaping the AI landscape, staying ahead of the curve.

1. How Moody's Build an AI Product For Financial Risk Analysis

2. Inside Moody’s AI-Powered News Analytics System for Real-Time Risk Intelligence

3. How Health eCareers Build an AI Job Search Chatbot for healthcare professionals

4. How Wendy's Build FreshAI an AI-Powered Drive-Thru Ordering System

5. How Perplexity.ai Build Its AI-Powered Conversational Search Assistant

6. How LinkedIn builds its AI Job Search Assistant Product

7. How Does Convai Use Generative AI to Build 3D AI Characters for Gaming, Learning, and Entertainment?

8. How Google Builds Circle to Search, Its New AI-Powered Visual Search Product

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AI & ML Product Strategy

Delve into the intricacies of crafting effective strategies for machine learning and/or AI products, balancing innovation with market demands.

1. How to Become AI/ML Product Leader

2. How to Develop a Winning Product Strategy and Roadmap for Building AI/ML Products

3. Data: The Foundation of Successful AI Product Development

4. How To Incorporate AI/ML Into Your Product Strategy

5. How to Tackle Algorithmic Bias in AI/ML Product Management

6. How to Integrate Trust, Safety, and Ethical Principles into AI/ML Products?

Building AI/ML Products

Explore the practical aspects of building AI/ML products, from ideation to launch, and learn best practices for each stage.

1. AI-Powered Design: Transforming User Interfaces and User Experiences

2. Introduction to AI & ML Product Management: Key Concepts and Roles

3. How to Navigate the Risks of Generative AI in Product Development

4. How to Make Tradeoff Decisions in AI/ML Product Management

5. How to Integrate Explainable AI in AI/ML Product Development for Better Outcomes?

6. How to Unlock the Full Potential of Data in your AI/ML Products

7. Considerations for Choosing a Large Language Model (LLM)

8. How to Navigate the AI Product Lifecycle From Ideation to Launch?

9. Welcome to aiproductcraft.com

AI Tech Stack & Systems

Understand the essential technologies powering machine learning and/or AI products and how to leverage them effectively.

1. AI and ML Explained for Non-Technical Professionals

2. When to Use Retrieval Augmented Generation vs Fine-Tuning for Your AI/ML Product Initiatives?

3. The top 100 AI & ML terms and concepts every AI product manager need to know

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