Showing all posts tagged with #TheIndustriesOfTheFuture on Self portrait 01 big Daniel Puglisi's profile

Chapter 6 (The geography of future markets) notes:

So far everyone tried it. But no one succeeded in copying Silicon Valley. Mostly because they have such a great density of domain based deep knowledge that it is almost impossible to keep up with them. Other countries should focus on their own domain knowledge and build it around an equal ecosystem. Instead of having the next Silicon Valley. We should be focusing on having 50 different Silicon Valleys all with another domain expertise.

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Chapter 5 (Data: The raw material of the information age) notes:

  • land was the raw material of the agriculture age. Iron wad the raw material of the industrial age. Data is the raw material of the information age.
  • In 2000. Only 25% of data was stored jn digital form. In 2007 that percentage skyrocketed to 94%.
  • 90% of the worlds digital data has been generated over the last two years.
  • every year the amount of data grows by 50%
  • Big data is the phrase used to describe how large amounts of data can be understand, analyzed and forecast trends jn real time. Also called data analytics, analytics or deep analytics.
  • "If I have this much budget to do something, I'm going to dedicate a certain portion of that budget toward figuring out wether the other portion of that budget is doing a damn thing."
  • One example of what big data will do is for example make the jobs of translaters obsolete. Big data could produce real time solutions for translating languages and mimicking the speakers voice. This opens the gateway for non english speakers to play in the global economy. A downside can be fraud and you can't trust what other people say if you don't look them in the eyes.
  • Other examples can be found in farming and fintech.
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Chapter 4 (The weaponization of code) notes:

  • Cybersecurity is going to be an industry of the future.
  • If one new person comes online, one new customer who needs cybersecurity enters the market.
  • The growth will be steep, the need will be sustained, and this ever growing need currently comes up against a major talent shortage. The qualifies job candidates are too few.
  • Cybersecurity is everyones problem. Not just governments or big companies. Also small companies and individuals are part of it.
  • Liberty without security is fragile, and security without liberty is oppressive. The years ahead will force us to balance these two as we have had not before.
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Chapter 3 (The code-ification of money, markets and trust) notes:

  • Code-ification of money, markets, payments, trust is the next big inflection point in the history of financial services.
  • By 2017 over 1 billion people will use mobile banking
  • Alibaba payments performs 2.85 million transactions per minute (more than PayPal or Square). I'm not sure but I think it is not banned in places like West Bank, Pakistan, Lebanon and Afghanistan (PayPal is), making it more global.
  • Congo is one of the world's poorest states. 75% live on less than 1 dollar. A third is illiterate. Life expectancy is 46 years.
  • Mobile phones in Congo are not just used to place calls. They help people reunite after displacement and to store money.
  • People/Entrepreneurs start getting interested in Africa from a purely business perspective (instead of doing charitable work or peacekeeping)
  • Kenya's M-Pesa stands for mobile money. It lets you create and load up an account at most gas stations, markets and stores and lets you transfer money via text messages. The money is stored on a commercial bank in Nairobi.
  • Estimated Sharing economy growth is 20 times the current value of $ 26billion by 2025.
  • Sharing in the sharing economy isn't free. Airbnb doesn't rent out accommodations for zero dollars. They charge for it. Similar is Uber. Uber doesn't share it's cars.
  • Uber might be expand it's service by letting you order a driver that picks up and delivers your package.
  • Bitcoin is based on digital trust. All transactions get logged in a blockchain which is distributed across all bitcoin users. The blockchain contains the whole history of every transaction ever made. Which makes it pretty hard to hack.
  • The blockchain will be to banking, law and accountancy as the internet was to media, commerce and advertising.
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Chapter 2 (The Future of the Human Machine) notes:

  • cancer treatment will change in the next 10-40 years. Instead of chemotherapy we will use designer drugs developed with the help of genomics to melt cancer away.
  • PGDx develops a sequencing machine that crunches your DNA into gigabytes of data, parses out where proteins mutating and makes sense of why your cancer is growing. It gives you more information about your cancer than any oncologist.
  • sequencing the base pair in human DNA will be available for everyone in about 20 years. Current price tag is 1000$ per test. But not scalable for millions of people.
  • genomics can lead to designer babies. You can tell which diseases you're predisposed to, how tall/heavy you will be, skilled in math, what sports you will be good at, hair/eye color, hair type, when you will lose your hair, etc.
  • Craig Venter started Synthetic Genomics where they develop and grow human compatible organs on pigs. His second company Human Longevity Inc. aims to prevent aging.
  • Six of seven billion people have a mobile phone (more than have access to toilets) --> can provide innovation for almost everyone through this channel
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Just read the first chapter of The Industries of the Future by Alec Ross. It describes how robots and automatization will probably steal human jobs. For example jobs like taxi driving (or even driving for Uber, think driverless Uber cabs), waitering in a restaurant, caring for the eldery and many more. Most of these jobs have a pretty high employment rate and are even under the top 10 of the most common jobs. What happens if all or most of those people lose their jobs? In the book Alec speaks about educating and reemerging them into a new job. But will there be enough jobs left? Of course with new industries new jobs are created. But won't those jobs require more specialized knowledge? And aren't more specialized jobs even rarer?

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