Tuesday, September 27, 2011

Jeff Jonas on Big Data and Geospatial Super-Food

As large collections of data come together, some very exciting and somewhat unexpected things happen. As data grows, the quality of predictions improves (less false positives, less false negatives), poor quality data starts to become helpful, and computation can actually get faster as the number of records grows.

Now, add to this, the "space-time-travel" data about how people move that is being created by billions of mobile devices, and what becomes computable is outright amazing. As it turns out, geospatial data is analytic super-food.

Join Jeff Jonas – Chief Scientist, IBM Entity Analytics Group and an IBM Distinguished Engineer – on September 28th, to hear his thoughts on hot topics such as Big Data, New Physics, and Geospatial Super-Food.

Who is this Jeff Jonas?

Jeff Jonas is a super-star IBMer; he designs next generation technology that helps organizations better leverage their enterprise-wide information assets. With particular interest in real-time "sensemaking", these innovative systems fundamentally improve enterprise intelligence, which makes organizations smarter, more efficient and highly competitive.

He also leads global think tanks, privacy advocacy groups and policy research organizations. Read more about Jeff.

Why Big Data is the Next Big Thing

Interviewing Jeff Jonas, TechCrunch's Andrew Keen imagines an entrepreneur, scratching his head and thinking "the next big thing is Big Data", yet he doesn't really know what it is.

What does someone do to understand, and not only to understand this, but to take advantage as an entrepreneur or as an investor?

Take 5 minutes to find an answer to this question and a couple others:

Jeff Jonas interviewed by TechCrunch

Personally, I feel like borrowing the concept of context accumulation from the interview, but this is just one of a set of themes woven through Jeff's work, explored on his blog, and captured in a series of evocative phrases, like:

  • perpetual analytics,
  • non-obvious relationship awareness,
  • sequence neutrality,
  • "data finds data",
  • anonymous resolution and others.

Attend Jeff's talk thanks to TOHUG

In my experience so far, the TechTALKs organized by the IBM Canada Lab were offered only to it's employees. On this occasion however, an agreement was secured to allow the Toronto Hadoop User Group (TOHUG) members to come to the Lab, listen and meet with Jeff.

So if you're in Toronto and interested to hear Jeff's thoughts on hot topics such as Big Data, New Physics, Geospatial Super-Food and more, all you have to do is to join the Toronto Hadoop User Group (if you are not a member yet) and RSVP to the event.

1 comment:

  1. Briefly, this is what I can say about Jeff's talk:
    - was fun from a presentation perspective,
    - was insightful on a big picture level,
    - made me better connect some ideas from the Semantic Web class back in University,
    - the IBM techTALK I enjoyed the most so far.