2014 Big Data Internet of things 
Corporate Innovation
JULY 4, 2015
Figure 1 shows the top 20 R&D spenders in 2014, based on data compiled by PwC, where we see (in red) that six of the top 20 companies are incumbent automotive OEMs. Figure 1: Top 20 corporate R&D spenders in 2014. Figure 2: PwC survey results of the top 20 most innovative companies in 2014. Volkswagen. Salesforce.
Corporate Innovation
JULY 4, 2015
Figure 1 shows the top 20 R&D spenders in 2014, based on data compiled by PwC, where we see (in red) that six of the top 20 companies are incumbent automotive OEMs. Figure 1: Top 20 corporate R&D spenders in 2014. Figure 2: PwC survey results of the top 20 most innovative companies in 2014. Volkswagen. Salesforce.
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Daniel Burrus
DECEMBER 16, 2015
Cognitive Computing Will Increasingly be Used To Extract Value From Big Data. Big Data has been a buzzword floating around for a few years, but in 2016 we will begin to unlock the real power and value thanks to the rapid growth of cognitive computing. The Internet of Things (IoT) Gets Personal.
Harvard Business Review
JUNE 6, 2014
The arrival of the Internet of Things or the Industrial Internet is generating previously unimaginable quantities of data to measure, analyze and act on. But for that to happen, we need to get much better at handling all that data we’re producing and collecting. But it is entering a new stage.
Board of Innovation
JUNE 5, 2022
This tracker is interesting because it combines big data management with a photographic memory. The Quantified Self movement takes the aspect of simply tracking the raw data to try and draw correlations and ways to improve our lives from it. In 2014, you could start by organizing your own intrapreneurship program.
Board of Innovation
JUNE 5, 2022
This tracker is interesting because it combines big data management with a photographic memory. The Quantified Self movement takes the aspect of simply tracking the raw data to try and draw correlations and ways to improve our lives from it. In 2014, you could start by organizing your own intrapreneurship program.
Harvard Business Review
JANUARY 21, 2016
A 2014 U.N. Again, it’s best to start small and target the data analyses toward areas with the biggest constraints (e.g., In Seattle, Washington, for instance, a smart building project using big data analysis is generating an energy savings of 15 percent to 25 percent, without paying for costly retrofits or disrupting tenants.
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