Category: Ai Product Management
-
Escaping the Prototype Mirage: Why Enterprise AI Stalls
Escaping the Prototype Mirage: Why Enterprise AI Stalls Too many prototypes, too few products The post Escaping the Prototype Mirage: Why Enterprise AI Stalls appeared first on Towards Data Science. Reya Vir Go to original source
-
Stop Tuning Hyperparameters. Start Tuning Your Problem.
Stop Tuning Hyperparameters. Start Tuning Your Problem. 80% of ML projects fail from bad problem framing, not bad models. A 5-step protocol to define the right problem before you write training code. The post Stop Tuning Hyperparameters. Start Tuning Your Problem. appeared first on Towards Data Science. Kaushik Rajan Go to original source
-
Donkeys, Not Unicorns
Donkeys, Not Unicorns The New Rules of Entrepreneurship in the Era of Commoditized Magic The post Donkeys, Not Unicorns appeared first on Towards Data Science. Yariv Adan Go to original source
-
Advance Planning for AI Project Evaluation
Advance Planning for AI Project Evaluation The work to do before the work begins The post Advance Planning for AI Project Evaluation appeared first on Towards Data Science. Stephanie Kirmer Go to original source
-
Iron Triangles: Powerful Tools for Analyzing Trade-Offs in AI Product Development
Iron Triangles: Powerful Tools for Analyzing Trade-Offs in AI Product Development Conceptual overview and practical guidance The post Iron Triangles: Powerful Tools for Analyzing Trade-Offs in AI Product Development appeared first on Towards Data Science. Chinmay Kakatkar Go to original source
-
Do You Smell That? Hidden Technical Debt in AI Development
Do You Smell That? Hidden Technical Debt in AI Development Why speed without standards creates fragile AI products The post Do You Smell That? Hidden Technical Debt in AI Development appeared first on Towards Data Science. Erika Gomes-Gonçalves Go to original source
-
Understanding the Generative AI User
Understanding the Generative AI User What do regular technology users think (and know) about AI? The post Understanding the Generative AI User appeared first on Towards Data Science. Stephanie Kirmer Go to original source
-
How to Develop AI-Powered Solutions, Accelerated by AI
How to Develop AI-Powered Solutions, Accelerated by AI From idea to impact : using AI as your accelerating copilot The post How to Develop AI-Powered Solutions, Accelerated by AI appeared first on Towards Data Science. Anna Via Go to original source
-
Making Smarter Bets: Towards a Winning AI Strategy with Probabilistic Thinking
Making Smarter Bets: Towards a Winning AI Strategy with Probabilistic Thinking Practical guidance on identifying opportunities, managing product portfolios, and overcoming behavioral biases The post Making Smarter Bets: Towards a Winning AI Strategy with Probabilistic Thinking appeared first on Towards Data Science. Chinmay Kakatkar Go to original source
-
Critical Mistakes Companies Make When Integrating AI/ML into Their Processes
Critical Mistakes Companies Make When Integrating AI/ML into Their Processes What I’ve learned leading AI teams across industries The post Critical Mistakes Companies Make When Integrating AI/ML into Their Processes appeared first on Towards Data Science. Andrey Chubin Go to original source
-
AI Hype: Don’t Overestimate the Impact of AI
AI Hype: Don’t Overestimate the Impact of AI Targeting moonshots instead of trolleys The post AI Hype: Don’t Overestimate the Impact of AI appeared first on Towards Data Science. Pascal Janetzky Go to original source
-
Expected Value Analysis in AI Product Management
Expected Value Analysis in AI Product Management An introduction to key concepts and practical applications The post Expected Value Analysis in AI Product Management appeared first on Towards Data Science. Chinmay Kakatkar Go to original source
-
What Clients Really Ask for in AI Projects
What Clients Really Ask for in AI Projects Managing AI projects is no walk in the park, but you have the power to make it easier for everyone The post What Clients Really Ask for in AI Projects appeared first on Towards Data Science. Ivo Bernardo Go to original source
-
Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources
Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources A question-driven scorecard to prioritize and de-risk AI initiatives before implementation The post Introducing the AI-3P Assessment Framework: Score AI Projects Before Committing Resources appeared first on Towards Data Science. Marina Tosic Go to original source
-
You Only Need 3 Things to Turn AI Experiments into AI Advantage
You Only Need 3 Things to Turn AI Experiments into AI Advantage Trapped in a purgatory of POCs enterprises need to focus and build just 3 pillars to realize value from AI The post You Only Need 3 Things to Turn AI Experiments into AI Advantage appeared first on Towards Data Science. Shreshth Sharma Go…
-
The Stanford Framework That Turns AI into Your PM Superpower
The Stanford Framework That Turns AI into Your PM Superpower A human-centric guide to AI automation for product managers. The post The Stanford Framework That Turns AI into Your PM Superpower appeared first on Towards Data Science. Rahul Vir Go to original source
-
Getting AI Discovery Right
Getting AI Discovery Right A guide to ideating, validating, and prioritizing your AI use cases The post Getting AI Discovery Right appeared first on Towards Data Science. Dr. Janna Lipenkova Go to original source
-
Layers of the AI Stack, Explained Simply
Layers of the AI Stack, Explained Simply This is the first in a multi-part series on creating web applications with Generative Ai integration. Table of Contents Introduction The Virtues of the Application Layer Thick Wrappers The Return of Clippy Getting Stuff Done While You Sleep Introduction The AI space is a vast and complicated landscape. Matt…