Saturday, July 18, 2015

What are some skills that are going to be monetarily valuable in the next five years?


An extraordinary answer from Claudia Azula Altucher on Quora slightly adapted here for my readers
  1. Knowing about chemistry, biotech, high-tech and how to translate it into plain English
  2. Being an idea machine
  3. Ability to take risks and get off the beaten path of what society says is the norm...
  4. Ability to save and have cash in the bank 
  5. Knowing lots of people you can call
  6. Knowing how to write, so people want to read (interesting) and making ideas fun and understandable
  7. Knowing how to handle difficult people (because the crappy people will make you broke)
  8. Ability to say NO, without giving any more explanations 
  9. Ability to Choose Yourself rather than wait for an institution or college or team to "choose you"  
  10. Ability to pray and believe. 
The #10 I added. I recognize myself, and Claudia articulated these thoughts better than any one I read before . Interesting to see the The Ten Most Influential Books In My Writing she publishes on her yoga website

Claudia and her husband James Altucher

Thursday, July 16, 2015

Ericsson Cloud Storage – Part 2. Extracting the value

Golden_gate
So, what is Storage? In computer engineering, we take this word for granted. In Big Data, storage means an object store. But we continue to call it “storage” as most people are familiar with the word. In this blog, let’s have a look at the engineering rationale and the human experience related to the word “storage”.

Sunday, July 12, 2015

Uncluttered Closets and Big Data

In a previous blog about Big Data, we read how really BIG the data is. For example this quote:

Wikipedia visualizes the size of the storage of 1 YB (Yottabyte) using 1 TB disks as “one million city block size data centers, as big as the states of Delaware and Rhode Island combined.”
How do we decide to store all this data?  When it comes to selecting a storage, people like you and me, and even the people who are highly technical, we all believe we know. I bought my son a 32 GB Apple Ipad tablet three years ago, and he used less than  2 GB. The biggest mistake we make we select the storage without having a clue of what that data,-  the data we want to keep available now - might be

Keep Your Closet Uncluttered All Year Long: 7 Foolproof Tips

I was reading this web article from Apartment Therapy blog site. "Bingo!" I said;  this is best advise on how to keep Big Data in order.

1. Cycle out your clothing. 
If your closet is small and you have extra storage space elsewhere, move your off-season clothes out of your everyday closet.
2. Be willing to reconfigure. 
Closets are not one-size-fits-all. You will be delighted and amazed by how much more fit in the closet than before. 
3. Have a place for everything and put everything back in its place
The odds of keeping your closet clean and organized are much better if you know where everything belongs.
4. Leave some extra space. 
Try to leave an empty space on a shelf — or even better, leave an entire shelf empty! — for new purchases. 
5. Implement a temporary zone
 Use the hooks in your closet as a temporary stop before the items goes back to where it belongs. 
6. Keep the hamper nearby. 
Having a hamper in or near the closet will decrease the chances that your closet floor will end up covered with a pile of dirty clothes.
7. Don't over-stuff the closet! 
Make room by moving some clothes into a dresser. It may mean a little extra ironing but it's worth it for an uncluttered closet.
These seven rules for keeping an apartment closet uncluttered apply to designing the storage of big data.

We do ask how many Petabyte we need. We usually do not ask what to store, what to keep handy now and what and how to find easily the things we don't need everyday.

I discovered that, obviously,  no two closets are identical. They fit the needs of the people who live in that house.

This simplicity exists, but few, very few notice it. So if you want to use Dynamo or S3  from AWS and you read something like this:
Amazon S3 can be used alone or together with other AWS services such as Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Block Store (Amazon EBS), and Amazon Glacier, as well as third party storage repositories and gateways. Amazon S3 provides cost-effective object storage for a wide variety of use cases including cloud applications, content distribution, backup and archiving, disaster recovery, and big data analytics.
The language above is for the carpenters who build closets, not for the people using them.

This is a very clear text for developers. Just compare this text to the article about uncluttered closets. The readers of the latter will be beneficiaries of whatever developers set up as storage. They should know what they want

Inspiration for Big Data Storage

Amazon does sell closet systems, like this one:
Amazon's Honey-Can-Do SRT-01602 Kids Toy Organizer and Storage Bins
The next challenge will be to build something similar for Big Data storage

Disclosure

I don’t say anything online that I wouldn’t say in person. What I say are exclusively my thoughts, views, opinions or understanding of a topic or issue, and not my employer's. I can be wrong even though I try hard not to be. I will admit to mistakes, correct them promptly and even apologize where it is appropriate.


Saturday, July 04, 2015

Kosher Ego and Kindergarten Entrepreneurs

Kindergarten entrepreneurs

In a previous post I was talking of  The new elite: kindergarten entrepreneurs who are often a product of the famous Silicon Valley incubators:
Some incubators created one the most conceited and arrogant breed of young entrepreneurs.  They are taught that a successful startup company is the elixir of happiness and they are bred "scientifically"  to be forever fearless winners, and immune  to the vicissitudes and perils in real life roller-coasters. It sounds like Nietzsche √úbermensch as a goal for humanity to perfect itself

Team of Teams

In a book that is currently #1 bestseller in Business and Organizational Learning, General Stanley McChrystal at al write:
Al Qaeda was not a collection of supermen forged into a devilishly ingenious organization by brilliant masterminds...   Much like a Silicon Valley garage start-up that rides an idea or product that is well timed rather than uniquely brilliant to an absurd level of wealth, AQI happened to step onto an elevator that was headed up.
Silicon Valley is less and less about technological leadership - the technology mostly comes from somewhere else - and more and more about a strategy and organizational brilliance similar to Al Qaeda.

Don’t label them as smart

In a June 15, 2015 article from The Atlantic, James Hamlin quotes Stanford mathematics professor Jo Boaler
People are born with some innate cognitive differences, but those differences are eclipsed by early achievement, Boaler argues. When people perform well (academically or otherwise) at early ages and are labeled smart or gifted, they become less likely to challenge themselves. They become less likely to make mistakes, because they stay in their comfortable comfort zone and stop growing. And their fixed mindset persists through adulthood. The simple and innocent praising of a smart kid feeds an insidious problem that some researchers track all the way up to gender inequality in STEM careers.
Here is a paradox discovery. The incubators of Silicon Valley breed kindergarten entrepreneurs  to become  long term professional failures, no matter how gifted they were

The Kosher Ego

A very fine line separates an ego from evil to greatness:
Do good with all your ego.
Say, “I need to make this happen.”
Say, “I have to see this done.”
Not only is this “I” permissible, it is crucial to your mission in life. 
So when does ego become evil?
When it believes it is your mission in life.
This is called the Kosher Ego Here is an example:

Arnold Schwarzenegger
Disclosure

I don’t say anything online that I wouldn’t say in person. What I say are exclusively my thoughts, views, opinions or understanding of a topic or issue, and not my employer's. I can be wrong even though I try hard not to be. I will admit to mistakes, correct them promptly and even apologize where it is appropriate.

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AI and ML for Conversational Economy