ITONICS
APRIL 26, 2018
Services that aggregate and analyze data through intelligent technical systems or platforms to create customer value are called smart services. This perspective describes the data and the respective analytics a smart service is built upon. The first step is the acquisition of relevant raw data from the different context sources.
IdeaSpies
FEBRUARY 22, 2019
Jack Ma (2000), Jeff Bezos (2003), Mark Zuckerberg (2004), Reed Hastings (2007), Brian Chesky (2008), Travis Kalanick (2009), Anthony Tan (2012). Books such as Consumptionomics (2011) by Chandran Nair and Abundance: The Future Is Better Than You Think (2012) by Peter H. Now, how about these? Something big is indeed going on.
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IdeaSpies
FEBRUARY 21, 2019
Jack Ma (2000), Jeff Bezos (2003), Mark Zuckerberg (2004), Reed Hastings (2007), Brian Chesky (2008), Travis Kalanick (2009), Anthony Tan (2012). Books such as Consumptionomics (2011) by Chandran Nair and Abundance: The Future Is Better Than You Think (2012) by Peter H. Now, how about these? Something big is indeed going on.
IdeaSpies
AUGUST 31, 2018
Jack Ma (2000), Jeff Bezos (2003), Mark Zuckerberg (2004), Reed Hastings (2007), Brian Chesky (2008), Travis Kalanick (2009), Anthony Tan (2012). Books such as Consumptionomics (2011) by Chandran Nair and Abundance: The Future Is Better Than You Think (2012) by Peter H. Now, how about these? Something big is indeed going on.
hackerearth
MARCH 28, 2018
photo editing software), and technology push (e.g. Samsung Galaxy with touchscreen technology in 2012). Tons of patient data, such as medical and imaging records, and predictive analytics will help prevent and cure diseases in time. NASA 1960), market pull (e.g. Nudge-based systems could soon reduce hospital visits.
Idea to Value
MARCH 11, 2016
In recent years, big data and deep learning algorithms, and the ability to spread processing power across thousands of computers in the cloud, is making this process more and more effective. IBM partnered with food magazine Bon Apetit, and allowed Watson to data-mine its database of thousands of recipes.
Boxes and Arrows
JANUARY 29, 2015
At a high level, I suggest a weekly or bi-weekly optimization planning session to perform the following activities: Review ongoing tests to determine if they can be stopped or considered “complete” (see the boxed section below). Review data sources and brainstorm new test ideas. Step 1: Data analysis and deciding what to test.
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