Dave rockin the Product Hunt kitty. Meet http://www.producthunt.com/
The Winequake edition of the Gillmor Gang discussed VC investors like Data Mcclure switching to backing by product traction. Product Hunt rather than the appstore gives tiny hint of traction. Robert Scoble / Keith Teare get going back and forth at about 0:43:06.
How can Microsoft compete without Scroogled 2.0?
- Get innovating Windows for next gen Win.js apps to run singularly on a phone or converge as a collection on Windows making up a complete business application using local message passing.
- Build the install process flawless / duplicatable / shareable between friends / freelancers / businesses dispensing with traditional IT heavy Microsoft support.
- Make a new market place for complex solutions, steal a page from Salesforce.com / Android / iPhone, reinvent app economics for complex applications. .
Lastly, CEO Satya Nadella: Fire sour marketing. Hire smart Engineering.
BOGO: Adlens variable focus glasses
OpenTSDB should allow anticipatory systems to emerge from sensor data in business, here’s how, apply control theory math:
The Fourier transform, named after Joseph Fourier, is a mathematical transformation employed to transform signals between time domain and frequency domain, which has many applications in physics and engineering. Wikipedia
These transforms used to be hard work done in Fortran code for weather and forecasting type applications, now available in Wolfram and open source. http://mathworld.wolfram.com/FourierTransform.html
Rise: Anticipatory Supply Chains.
Andrew Musselman from Accenture recently spoke at the Scalability / Distributed Systems meetup on the Microsoft Redmond Campus. Accenture is reacting to the emergence of time series data in enterprises, building Hadoop business analytics for SAP systems not designed for vast data from sensors & IoT. Andrew is principal scientist in the global big data practice at Accenture where he leads the data science team in North America. He is a committer on the Apache Mahout project and is writing a book on data science for O’Reilly. http://www.meetup.com/Seattle-Hadoop-HBase-NoSQL-Meetup/events/174605462/
Deloitte is also looking ahead: We expect that the vision of the anticipatory supply chain will take years to realize fully. At every step, the most effective organizations will be those applying cutting-edge technology to enhance their real-time understanding of activity in complex supply networks, and to improve the economics of having production capacity closer to consumption locales. As the Internet of Things expands and companies’ analytics become more sophisticated, predictive supply decision making will increasingly become automated. Sensors signaling disruptions or unexpected activity in remote corners of the world will trigger appropriate adjustments in the flows of materials and energy. http://dupress.com/articles/bus-trends-2014-anticipatory-supply-chains/
Flextronics spin-out Elementum has traction with mobile devices, confirming another spline of data for anticipatory supply chains:
PinkRoccade in the Netherlands in healthcare is also monitoring time series data for anticipatory systems.
We may see many more cases like Andrews in the enterprise:
Haiku c/o PiL.
I could be wrong, I could be right.
Your time has come, your second skin.
May the road rise with you.