In this post of Straight Talk about AI in Healthcare, I review work that applies deep learning methods to predict acute kidney injury during hospitalization.
Can Deep Learning Help Decipher the Genetic Fingerprint of Cancer?
Can Deep Learning Improve Risk Adjustment?
Untangling the Alphabet Soup of Medical Acronyms with AI
Conversation with Miriam Friedel on the Skafos AI Podcast
In November, I had the pleasure of speaking with Miriam Friedel from Skafos AI on her applied machine learning podcast. We talked about introducing data science to different types of organizations and about building machine learning products. Listen to the full recording here.
4 Product-Driven Steps to an AI Roadmap
AI products are products that make decisions. And with this in mind, you can build a product-driven AI roadmap without being an AI expert. Read the full story on Medium.
What I've Learned Working with 12 Machine learning Startups
8 lessons about products, data, and people, including: look for synergies between data and product, invest in effective communication, and build trust. Read the full story on Medium.
How to Build an AI Moat
Forging a strong link between better models and better products scales the business value generated from data and results in a deep AI moat. Read the full story on Medium.
The Product/Data Fit Strategy
Data strategy is about building better products, not accumulating more data or using fancier methods. Product/data fit optimizes how your product uses data to create value. Read the full story on Medium.
Product Driven Machine Learning (and NYC Parking Tickets)
In a successful machine learning product, business goals drive modeling goals. To do that, you have to adapt the concept of acceptance criteria to data science tasks. Read the full story on Medium.
Product/Data Fit on Forbes Books Radio
A few weeks ago, I spoke at the AI Leaders Summit in Boston about product/data fit. At the conference, I had the pleasure of being interviewed by Gregg Stebben of Forbes Books Radio. We talked about product/data fit: data strategy, AI strategy, and how organizations can successfully use AI to accelerate their business.
Check out the interview here!
Being Data Science Ready
How to accelerate your startup, build data equity, control data debt, and get value from your data before you hire your first data scientist: Read the full story on Medium.
The Challenge of Product/Data Fit
Machine learning and AI add new challenges to each step of the Lean Startup's build-measure-learn cycle. Understanding them is key to building great AI products. Read my full post on Medium.