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How Predictive Analytics Rocks Big Data Eric Siegel Video 

Eric Siegel is an expert in predictive analytics and data mining and a former computer science professor at Columbia University, where he won th
Martin (Marty) Smith's insight:

Good video on how big data and predictive analytics should and will live harmoniously together. 

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Going To Discuss Sophisticated "Ad / Content Serving" With Durham Based Adzerk Next Week

Going To Discuss Sophisticated "Ad / Content Serving" With Durham Based Adzerk Next Week | BI Revolution | Scoop.it
Your ad server should do more than just serve ads. We built adOS to be the fastest, easiest to use platform for managing all your online advertising. It's free to get started!
Martin (Marty) Smith's insight:

Ad Serving is so much more than you think. If our we design future is a series of contingent creative modeled to display based on predictive analytics then the existing very close to that idea is sophisticaed ad serving. 

Ad serving is knowing who is looking at what and how often they've seen it, but ad serving also forms the core of predictive modeling. When we show this ad to this person aor segment in this kind of environment it converts and that is exactly the way we will think of our content soon (as either converting or not).

The problem now is the top of our content marketing funnel  insn't connected to our bottom so traffic generation isn't related to conversion. Traffic is such an interesting problem.

When I sold my house only one person looked at it. Traffic LOW but converison HIGH. When I was an Ecommerce director we needed 12,000 unique visitors a day to sell 400 or 500 customers. so  Traffic HIGH but conversion LOW.

In our new GOOGLe world washing 12,000 uniques a day through for so few conversions would slowly lower your website's value. These days you want your heuristic measures (time on site, pages viewed, conversions such as downloading or signing up for something or buying something to go UP). 

Better to move LESS traffic through your website and get more from them. Sales were interestingly tied to traffic. On the one hand traffic reduciton move the conversion needle down, but that was only because our analytics weren't sophisticated enough to know who to court and who to let go.

By "court" I mean use sophisticated ad serving to model and convert the visit. With Google's new thinking about value and content marketing any websites HEURSTIC measures must improve and in an ever increasing pattern, so can't we use sophisticated ad serving to focus the right content to the right audience and so move heursitcs up.

I can see a financial person doing the, "Sophisticatd ad serving costs X, what does it get us?" Thing and boy do I hate gatekeepers like that because we are on the BLEEDIG EDGE now talking about something that cost NOTHING in relation to its potential benefits such as:

* More Page Views Because More Relevant Content Presented.
* Lower Bounce Rates As You Model Out Crap Traffic.
* Faster pattern recognition on content (ads) that are working.


 Last idea is very important because what is our content OTHER than long form ads? A: Our Content Is Exactly A Long For Ad. what DMers used to call "advertorial". The role of our content in an inbound marketing world is the same as advertorial. It doesn't look as "sell you a a used car", but don't kind yourself if your company is spending millions there better be some clear ROI somewhere. 

Clear ROI is why I want to speak with ADZERK about sophiticaed ad serviing for http://www.curecancerstarter.com.  I suspect we will find so many unintended benefits that building a ROI case won't be a problem. Stay tuned. 



 

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The Race for Semantic Search via @DavidAmerland

The Race for Semantic Search via @DavidAmerland | BI Revolution | Scoop.it
The Race for Semantic Search

Search really is a problem that's far from solved and the search market is beginning to get crowded as search verticals come…
Martin (Marty) Smith's insight:

Love talking Semantic Web with friends like @DavidAmerland. David is brilliant and a great writer (FOLLOW HIM). I loved weighing in on his Google Plus post about the Semantic Web race. 

You better believe there is a race. There is a race because everyone involved can ADD (lol). Semantic web is going to change everything...again. Shared some thoughts on HOW.  

https://plus.google.com/u/0/115620878851836664537/posts/KYTw7MNxq4p 


Sorry about the length of my rant (lol). Semantic web is pretty exciting to THINK bout much less actually start to program for :).M 

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Big Data - Retail's Future Looks More Like Web [+ Marty Note With Brother Drew]

Big Data - Retail's Future Looks More Like Web  [+ Marty Note With Brother Drew] | BI Revolution | Scoop.it
Macy’s and Sears might not be psychics or fortune-tellers, but that doesn’t mean they can’t predict the future.


Marty Note
Retail predictive analytics is going to determine where salespeople stand, displays are constructed and sales end. Big data is coming to a store near you soon. In fact, soon the store is simply physical manifestation of the web. Here are a few of the implications of that idea brainstormed with my brother Drew who works for Southern Season:

* Store sets are more fluid changing daily if needed.
* New kinds of fixturing will be needed.

* Firewall between web and store won't exist.
* Showrooming will be made moot.
* Pricing with intelligent RFID-like tags will be dynamic.
* New in-store tech to facilitate pricing arbitrage.

* New in-store GPS will help shoppers find what they need.

* Promotions go real time and mobile via predictive analytics.

* Payment becomes more phone less credit card and NO cash.

* Intelligent merchandising systems fuse web-like reviews into retail.


Going to be Minority Report cool and all brought to you by a startup company near you.  

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Rescooped by Martin (Marty) Smith from Future Trends and Advances In Education and Technology
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Top 10 Emerging Technologies For 2014

Top 10 Emerging Technologies For 2014 | BI Revolution | Scoop.it

Marty Note
Cool "emerging" technologies covered here cover trends across tech and manufacturing:

* Body-adapted Wearable Electronics.
* Nanostructured Carbon Composites.
* Mining Metals from Desalination Brine.
* Grid-scale Electricity Storage.
* Nanowire Lithium-ion Batteries.
* Screenless Display.
* Human Microbiome Therapeutics.
* RNA-based Therapeutics.
* Quantified Self (Predictive Analytics).

* Brain-computer Interfaces.

My favs are RNA-based Therapeutics (since this could help my dad's macular degeneration and Quantified Self (predictive analytics since they will change ecommerce as we've known and practiced it).

Promising "trend tags" here too for http://www.crowdfunde.com.




Via Grant Montgomery
Chris Storm's curator insight, March 27, 2014 2:54 AM

Some potential emerging technology trends

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Actionable Predictive Analytics in Talent Management

Actionable Predictive Analytics in Talent Management | BI Revolution | Scoop.it
metrics scan I've been espousing the need for predictive metrics in HR for over 20 years, so I am pleased that more talent leaders are now beginning to realize their value. Unfortunately, most of what is written on the subject ...
Martin (Marty) Smith's insight:

Fascinating and runs from the preschool easy to the double dutch complicated.

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Rescooped by Martin (Marty) Smith from Public Relations & Social Marketing Insight
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What Comes After Social Media? And Why You Should Have Paid More Attention In Math Class

What Comes After Social Media? And Why You Should Have Paid More Attention In Math Class | BI Revolution | Scoop.it

I started blogging in 2005, and started checking out Twitter and Facebook in 2007.  While these tools have been popular topics for individuals for a while now, companies really didn’t begin to take an interest in social media as a pseudo-business tool till around 2008 or so.  


So for five years, social media has been the next ‘it’ thing. But eventually, we’ll all move on to talking and obsessing about something else.  Even now, some people are beginning to say that social media’s bubble is about to burst.  So when social media is officially no longer the ‘cool kid’ in school, what will take it’s place?


One idea that’s been gaining traction in the last year or so is that of Big Data.  In simplified terms, it’s collecting massive amounts of data about a sample (such as your customer base), and then analyzing that data in order to spot trends and characteristics about the customers that you might otherwise miss....


Via Jeff Domansky
Martin (Marty) Smith's comment, February 9, 2013 9:42 AM
Yes, I see "Big Data", predictive and conversion analytics as the next frontier too. As if I wasn't reminded of this every day, our future is about to prove we should have paid more attention in math class :).M