You should presume that some day we will be able to make machines that can reason and think and do things better than we can.
Google and the giant power to grow
Larry Page and Sergey Brin share the story of how they almost sold their company. The two discuss their other projects – from self driving cars, the Android OS, Google Now, to machine learning technologies they are beginning to venture into.
A great quote from Sergey that gives good insight into Google’s vision for the future surrounding machine learning is that “You should presume that some day we will be able to make machines that can reason and think and do things better than we can.”
Driving innovations and breakthroughs
Larry Page mentions the book, “Abundance: The Future Is Better Than You Think” by Peter Diamandis, and how many of the things we need to be happy (housing, security, opportunity, etc.) will be easily provided for us in the near future. He points out that this could be accomplished currently with less than 1% of the amount of resources and work required to do so. Page goes on to say, “The idea that everyone needs to work frantically to meet the people’s needs is just not true.”
They very briefly make hints to a possible Google Car in the far off future and how the traditional vehicle style is not necessarily needed with a self-driving car (like having a steering wheel, seats facing forward, etc.).
Page discusses how difficult it can be to have a large company manage so many inter-related things: “The user experience needs to make sense. It needs to feel like they’re using Google, but they’re using something else. I think there is a limit to kind of how much we can do there and we have to think carefully about it.”
All and all it gives pretty good perspective into the hearts and minds of the creators of Google. Check it out.
I see you, Google. #webapps
It’s wild to think Google is only 15 years old. To think how libraries were back then. Now any information you need can mostly be found at the touch of your finger tips.
So here’s to you, Google, with the information of ten libraries raised to the power of 100. Happy 15th!
First steps to setting up Google Analytics for your Web site
Make sure you have the Web site tracking code in the <head> tag on every Web page for your site.
Then setup Google Webmaster Tools for your Web site.
In the Admin tab on Google Analytics, navigate to Property -> Property Settings so you can connect Webmaster Tools for your site to your Google Analytics.
This enables organic keyword average positions to be tracked in your Google Analytics.
Once you have it connected and after 2 calendar days or more have past, navigate to Traffic Sources -> Sources -> Search -> Search Engine Optimization -> Queries in Google Analytics.
This displays any queries your site has organically appeared for in Google’s Search Engine Results Page (SERP, for short).
With these few steps you have setup your Google Analytics account to track the necessary data for an SEO to begin optimizing your site.
If your site serves a purpose, you can create Goals within Google Analytics to track conversions for the intended purpose of your site, so you can better optimize around the intended point of conversion you’d like people take.
A simple example of this is a Checkout page for a shopping cart, or a Success page for form submissions.
If you have these setup properly in Google Analytics, you’re already way ahead of the game to help improve your site over time for your customers/viewers.
What search results would you anticipate to see if you searched for ‘eli’ on Google?
Believe it or not, this is actually a very big problem for search engines to try and figure out. The problem is that one word searches do not generally target a unique enough topic to effectively narrow search results.
Am I looking for baby name meanings? Do I want to find someone in particular named Eli? Is there a Bible passage I want to find? Who knows?
The problem is a lack of deeper understanding for what the searcher is looking for. So how do you go about finding out? Ultimately one word searches will always be a hit or miss chance to properly answer a query, but one area search engines can improve upon is in better knowing topics of interest for the search user.
Enter in, the Social era of Search
There is a serious ambiguity problem with a lot of search results. Some have a hard time properly explaining to a search engine what it is they are looking for. And Google has a solution to this problem, or at least a good idea how to better narrow the results for those pesky vague keywords it normally would have trouble determining what to display.
By tracking the history of a unique searchers activity, a search engine can better gage what it is they are most likely looking for in situations where the query just isn’t specific enough to narrow the results list to exactly what the user is looking for. But in order to do this, the user must be logged in.
This is where Social Media becomes a search engines best friend – by tracking the history of a users activity with a social network that they interact with, over time the user will give you enough data to better understand there main topics of interest.