Societal Revolutions and Increasing Output
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The document discusses societal revolutions as moments when we figured out how to increase output, specifically mentioning the Agricultural Revolution, Industrial Revolution, and emerging Intelligence Revolution. It also discusses how attention and intelligence will become increasingly valuable commodities, and how artificial intelligence is advancing capabilities like beating Go champions and gaining a decade of translation progress overnight. Secret projects are aimed at optimizing marketing campaigns using all available online and offline data.
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Societal Revolutions and Increasing Output
- 1. Alan Coleman, Rob Beirne, Zoran Selinger
- 2. Societal Revoltions Are Basically Moments in Which We Figured Out How To Increase Output! • Agricultural Revolution • Industrial Revoltion • Intelligence Revoltion
- 3. Alan Coleman, Founder & CEO | alan@wolfgangdigital.com All-Tech Top 5 Companies in the USA!
- 4. The World’s Most Valuable Commodity Is Now… YOUR ATTENTION!
- 7. The World’s Most Valuable Commodity Is Now… YOUR ATTENTION! X 3,500,000,000 Global Attention Marketplace
- 8. “Software Is Eating The World” Marc Andreessen 2011 “Every Company Needs To Become A Software Company”
- 10. Secret Project Cyborg • Using optimisation data from one campaign to improve the performance of all campaigns • Using data from your website to integrate with digital marketing campaigns • Tracking offline measurements online
- 11. Cleaning up the Google Display Network (GDN)
- 12. Cleaning up the Google Display Network (GDN)
- 13. Out of Stock
- 14. Out of Stock • Over 350 brands • Constantly rotating stock
- 15. Out of Stock
- 16. Out of Stock • Increased the assisted revenue from product campaigns 10x
- 17. Tracking Offline Advertising Impact Online
- 18. Tracking Offline Advertising Impact Online
- 19. Tracking Offline Advertising Impact Online
- 20. Tracking Offline Advertising Impact Online
- 21. Alan Coleman, Founder & CEO | alan@wolfgangdigital.com
- 22. Artificial Intelligence Inflection Point • Quarterly insight reports • Google Analytics • We love data! Artificial Intelligance Inflection point.The Artificial Intelligence Inflection Point
- 23. Google AI beats Go World Champion
- 24. Google Translate Gains 10 Years Progress – Overnight!
- 25. Kevin Kelly tells a story…
- 26. Google’s Stated Mission “To organise the world’s information…”
- 27. Google’s Secret Mission “To monitor the world’s interactions with the world’s information…” That’s how machine learning “learns”!
- 28. The World’s Most Valuable Commodity Is Now… YOUR ATTENTION!
- 29. The World’s Most Valuable Commodity Will Be… Intelligence!
- 30. Societal Revolutions Are Basically Moments in Which We Figured Out How To Increase Output!
- 31. Societal Revoltions Are Basically Moments in Which We Figured Out How To Increase Output! • Industrial Revoltion • Intelligence Revoltion The Industrial Revolution
- 32. Societal Revoltions Are Basically Moments in Which We Figured Out How To Increase Output! • Industrial Revoltion • Intelligence Revoltion The Industrial RevolutionThe Intelligence Revolution
- 33. Societal Revoltions Are Basically Moments in Which We Figured Out How To Increase Output! • Agricultural Revolution • Industrial Revoltion • Intelligence Revoltion
- 36. 10 min
- 41. 70 “likes” > friends 150 “likes > parents 300 “likes” > partners 300+ “likes” > myself
Editor's Notes
- Move this before measuring offline online
- Move this before measuring offline online
- Holt-Winters triple exponential forecasting
- “You Are What You Read” – That’s how AI works. Or more specificall that’s how machine learning works. It monitors
- The first example I’m going show you is how artificial intelligence can be a source of good in the world. In most cases that means saving lives. And IBM Watson, does exactly that.
- You probably all heard about IBM Watson and its predecessor Deep Blue that beat Kasparov in chess. After they took on a challenge in Jeopardy and beat some of the best players ever, they turned to making whole industries better, and one of them is health.
- After a 60 year old patient didn’t respond to treatment by a team of doctors they we’re afraid that they misdiagnosed the patient and decided to give Watson a try. Watson went through 200 million cancer research papers, patients genetic profile and medical data, gave the correct diagnosis and recommended treatment that ultimately saved the patient’s life. And it did that in 10 minutes. Doctors all over the world are now using this technology.
- Back in 2012 Amazon presented a patent for a delivery system that today allows them to offer one or two-day delivery for certain segment of their customers.
- Amazon of course stores a lot of data about your purchase history and probably analyses your comments, brand affinity and such. Using machine learning they can predict how many new JK Rowlings books, how many new iPhones or drones will be sold in any given area. They will then preamptively ship those products to the nearest distribution centre and even keep it in trucks assigned to an exact area. If you ever read about items being delivered ina matter of hours from the order, this is most likely the reason. So by the time you order the product, and they predicted you will, that package is already in the truck going in your direction or in the nearest distribution center.
- Finally, we have an example that got a lot of attention recently. The company Cambridge Analytica claims they had a role in both Brexit and US Presidential elections on the side of Trump. They claim that they used Big Data to analyse and microtarget individuals with specific messages that had a big impact on the results. Now whether that is true or not, we don’t know, but we know what approach they used.
- Michal Kosinski, a psychometrician from Stanford, developed a tool that will look at your Facebook profile and based on your likes, comments, number of photos, etc., develop your personality profile with high accuracy.
- I’m just gonna let you read this for a second. Obviously, this is very powerful and we need to be careful how we use it.
- This means Cambridge Analytica can choose which messages to serve to which individuals with the highest likelihood that it will prompt them to either vote for Trump or stay out of the ballot box. Their CEO Alexander Nix is demonstrating how they served different messages to neurotic and agreeable people. For highly conscientious and neurotic person they need a rational, fear based message. For closed and agreeable people that value family, tradition, habit they need a message aligned with their values. They since announced they opening this product for commercial advertising. We might be looking at the future of digital advertising or even advertising in general.