Big Data: The New Front End of Innovation


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Big Data is all the rage in technology. Let's look at where this is headed in the next 18 - 36 months and examine Open Innovation's unique role in creating value in the era of Big Data - presented by @TopCoder

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  • Clinton will handle intro
  • Clinton will handle
  • Clinton will handle – talking competition, community and areas of concentration
  • Clinton will handle …
  • I will introduce the 3 of you here … will begin to open things up … will say something like “Well, let’s start small in Big Data … many people have a hard time defining … (change slide)
  • I will finish my thought and hand it over to you three to discuss quickly – Is it a certain “size” … is it complexity that determines “Big Data” … MikeMaybe we can tease the structured v unstructured here, but not go too deep …
  • Really hone in on the current state – the Tweetchat we had to endure where the focus wasn’t really on value, how many are focused on warehousing, tagging, etc … WE SHOULD NOTE that all this is important … BUT … focus has to shift to value creation from this deluge
  • Would be nice to define the two – an example of structured data – an example of unstructured data … what they represent separately – how they are being paired together to innovate. 2 AM Drinking Pics … go to Twitter, Facebook and Instagram … is that Structured data because it is being hosted by a platform like FB or is it unstructured because it is an individual creating unique data …?
  • I think this is where we can be technical, but remember to keep it simple and relate it to something people already know about … We have to talk about the 10,000 lb. elephant in the room …
  • giving credit where due … Hadoop is certainly the most known, huge investments made by the likes of IBM in Hadoop via acquisitions … but quickly transition to the fact that it is NOT the only solution in the Big Data game …
  • I don’t know much about these solutions … Bill perhaps you can relay our experience at the MassTLC Big Data event where a decent amount of time was dedicated to alternatives and reasons why they exist?
  • Clinton will handle
  • I will open it back up … great if you guys can briefly define these – like 2 to 3 sentences each
  • Put the focus on value, how it will affect all these industries – maybe some off the ‘cuff examples of what a retailer will be able to do … We can tease our NTL work right here without saying too much …
  • Security, Insurance, Crime Fighting, Traffic Patterns, Weather Patterns – this is from a PopSci article on crime prevention through data analytics and pattern recog. Placing assets at predicted hot-spots to prevent crimes (Pre-Cogs!!!)
  • Self-Quantification – I can fly through these slides, feel free to chime in .. Point of these is to showcase just how wide it goes AND get folks concentrating on apps and algos – not warehousing
  • Passive Sensor Technologies … same as slide previous
  • Peak level of caffeine – Depression app mashes up data from sensors to gauge if you’ve been laying around the house all day, and also takes into account phone data, like who you’ve talked to or texted (or if you’ve not spoken with anyone) … then if the app. thinks you are on the verge of a bout of depression – it will nudge the user to go do something (exercise, call someone you love, etc …) to veer you off the path
  • Will see if anyone types in via chat … wait a moment … then move on …
  • Clinton will handle … (this doesn’t mean you guys can’t talk here, I will just drive this section and get through it quickly is all)
  • At recent MassTLC IBM Keynote suggested value creation will exist where the 3 V’s meet the 3 I’s … I can set this up … and then simply say:“What does this mean to you guys???”
  • Again, I can set it up and would be great for you guys to give an example of what can be answered, what can be solved, what can be improved … what are typical problems facing our clients – how can data be turned into value creation?
  • I wanted this to let you guys add something we missed or to field a question that had come in … just some space to breathe …
  • Clinton to handle …
  • Clinton to handle … start to set up last portion of this webinar …
  • I’d like someone to explain why this is the case … maybe economic theory vs. innovation theory if you guys are versed – when no known solution, many attempts breeds outliers … etc ..
  • Mike or Andy … maybe great opportunity to talk about collaboration within a competitive model like TopCoder ???
  • Recent Life Technologies win would be GREAT to explain here … winner had zero experience in domain … winning results amazing. Other examples???
  • Just a concise way of saying what Einstein said – paraphrasing – “if I had an hour to save the world I’d spend the first 59 minutes defining the problem and the last minute solving it” … hammer home point that these different perspectives eliminate innate biases while bringing learned cultural experiences to the issue … BEST if you guys talk here not me
  • Clinton will handle, will warm it up for you guys to bring it on home …
  • Mike … do your thang.
  • Andy talk your talk … Bill you do the same – this is where we talk about real examples … if we can’t say who the client is or give too much detail, just quickly explain to the audience to set expectations for the example …
  • Andy … you had wanted to talk about “Ideation” … this is a perfect spot to do it! … I can set it up and lead you into it …
  • Field open questions, I will lead … you guys answer …
  • Clinton will wrap up …
  • Clinton will sign off …
  • Big Data: The New Front End of Innovation

    1. 1. Presented by
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    3. 3. by @edd
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