Excel In Practical Aspects For Building & Managing AI/ML Product

AI/ML Project Development Phases 4/4: Production Deployment and Continuous Iteration

Final phase in any AI project, a successful AI deployment is an ongoing process of monitoring, learning, and evolution to meet changing objectives and…

Jul 18 •

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AI Product Craft Newsletter

AI/ML Project Development Phases 3/4: Prototype and Experimentation

Step 3 of 4 in any successful AI/ML project, prototyping and experimentation allow you to refine your AI solution based on real-world feedback and…

Jul 18 •

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AI Product Craft Newsletter

AI/ML Project Development Phases 2/4: Data Preparation and Model Selection

Step 2 of 4 in any successful AI/ML project, the quality and relevance of your data, combined with an appropriate model choice, are critical…

Jul 18 •

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AI Product Craft Newsletter

AI/ML Project Development Phases 1/4: Discovery and Feasibility

Step 1 of 4 in any successful AI/ML project, a well-executed discovery and feasibility phase minimizes risks and sets realistic expectations for your AI…

Jul 15 •

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AI Product Craft Newsletter

How to Develop and Deploy AI/ML Products Efficiently

By mastering the fundamentals of AI/ML product management, you can navigate the complexities of AI product development with confidence, driving…

Jul 11 •

Master These Key Skills to Succeed as an AI/ML Product Manager

The key qualifications, skills and abilities needed to excel as an AI/ML product manager, with a breakdown of how to develop and reinforce each skill

Jun 16 •

AI Product Craft Newsletter

What Does an AI Product Manager Actually Do?

AI product managers plays a crucial role in the development and deployment of AI-powered products. Here’s a detailed breakdown of what an AI product…

Jun 14 •

How to Make Tradeoff Decisions in AI/ML Product Management

To make tradeoff decisions in AI/ML product management, there are several key points to keep in mind. Let's explore these considerations:

Jun 9 •

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

The lifecycle of AI products is a complex journey that requires careful planning, execution, and continuous improvement. This comprehensive approach not…

Jun 8 •

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

Every successful AI product is grounded in effective data management. Follow this step by step guide to master data management and unlock the full…

Jun 6 •

AI Product Craft Newsletter

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

In the context of AI/ML product development, explainable AI (XAI) is critical in making AI systems transparent, trustworthy, and accountable, thus…

Jun 5 •

AI Product Craft Newsletter

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How to Navigate the Risks of Generative AI in Product Development

This article explores key ethical risks companies must be aware of when developing products with generative AI. It also outlines responsible AI…

May 31 •

AI Product Craft Newsletter

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