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12
Aug

Quantified Self, Ubiquitous Self Tracking = Wearable Analytics


google_glassesThe future is here. It’s just not evenly distributed yet.”   – William Gibson

Self-tracking,  Seamless Engagement and Personal Efficiency improvement’s new frontier is Personalized Big Data and Digital Health. This is really becoming a viable idea around wearable and sensor computing and the basis for new data platform wars.

The new platforms for digital life or data driven life — that collect, aggregate and disseminate — will  cover a wide range of new User Experience  (UX) use cases and end-points… medical devices, sensor-enable wristwear, headset/glasses, tech-sensitive clothing.  All of them are going to collect a lot of data, low latency analytics, and enable  data visualization. Several new firms are entering the activity tracker market LG (Life Band Touch), Sony (the Core), Garmin (Vivofit), Glassup, Pebble, JayBird Reign etc.

Data collection is just one piece of the solution. The foundation for personalized big data is Descriptive and Predictive Analytics.  Ok…What do i next? what is the suggestion? in the form of predictive search (automated deduction or augmented reality).

How do i discover useful patterns, analyze, visualize, share, query and mobilize the collected data?  A wide range of start-ups – Cue, reQall, Donna, Tempo AI, MindMeld, Evernote, Osito, and Dark Sky – and big companies like Apple, Google, Microsoft, LG and Samsung are working on predictive apps — aimed at enabling new robo-assistants that act as personal valets, anticipating what you need before you ask for it.

DataLeverage

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9
Aug

Goldman Sachs – Big Data is a Disruptive Theme


Innovation Matrix

The following eight secular disruptive themes are what Goldman Sachs believe have the potential to reshape their categories and command greater investor attention in the coming years.

The Eight Themes:

  • E-cigarettes – The potential to transform the tobacco industry
  • Cancer Immunotherapy – The future of cancer treatment?
  • LED Lighting – A large, early-stage and multi-decade opportunity
  • Alternative Capital – Rise of a new asset class means growing risk for reinsurers
  • Natural Gas Engines – Attractive economics drive strong, long-term penetration
  • Software Defined Networking (SDN) – Re-inventing networking for the cloud era
  • 3D Printing – Disruption materializing
  • Big Data – Solutions trying to keep up with explosive data growth and complexity  (Industrial Big Data and Personalized Big Data)

These eight themes – through product or business innovation – Goldman claims are poised to transform addressable markets or open up entirely new ones, offering growth insulated from the broader macro environment and creating value for their stakeholders.

Goldman focuses on the impact of creative destruction – a term made famous by the Austrian economist Joseph Schumpeter, which emphasized the fact that innovation constantly drives breeding of new leaders and replacement of the old.

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