Path to a More Artificially Intelligent Future
summary
Starts with a 2015 Project Copy Scale experiment to automate blog and report writing using Automated Insights plus Google Analytics, cutting a 5–10 hour monthly analytics writeup to ~30 minutes and saving an estimated 100–200 agency hours per month; cites AP moving from 300 to 3,000 machine-written reports. Shows machine-learning wins (DeepMind teaching Atari overnight), UPS’s Orion optimizing 55,000 daily routes for drivers with 120 stops (quintsextillion route combos), and content recommendations driving 75% of Netflix viewing.
AI-written summary · about
chapters (12)
- 0:00Introduction
- 3:10Automated Sites
- 4:12Marketing Team Time
- 5:39Machine Learning and Deep Learning
- 6:47Marketing Automation
- 9:21IBM Watson
- 10:54What is AI
- 11:29The challenge
- 12:46Content marketing
- 13:09Computerization of Wall Street
- 14:02UPS Orion
- 15:20Pickax
related talks
27mSoftware engineering with GenAI
45mHow to Really Scale AI: Combining Traditional and Agentic Automation
45mThree Practical Ways to Use AI in Your Company
29mTransformation in a New Era of AI
35mProductivity in the age of AI
49mMagic of Automation and Everyday Chores
24mHow AI is increasing the surface area for serendipity
31mWant to adopt AI in your business: Good luck!