sipacon

SIPACON 2013
Hyper -Personalization Confluence of Social, Mobile and Bigdata
Crowd Captain
RT @shankarsitarama #sipacon Milind Bhandarkar going more into sources of data from sensors (hardware & software) and Analytics based on this.
John Furrier
#industrialinternet which is @GE tagline is the Internet of Things.. machine to machine is key to success
John Furrier
@Shankarsitarama my issue with many of the #bigdata vendors like Pivotal/Greenplum is that they are hardware focused not solutions focused..
SIPA.org
@jairawat panel question what is the roi for resources invested in big data?
Crowd Doc
@RocketFuel says for every $3 .. birds eye frozen food gave a ROI of $3.62
John Smith
Personalization is big deal says @RockeFuel 's Eshwar.
John Smith cc / rocketfuelinc
John Furrier
many enterprises I talk to see ROI in two ways 1) data for real time value where data was unattainable and 2) increase in profitability more revenue in using data to enhance sales and reduced costs in new efficiencies that data insight points out
SIPA.org
- sears example - sending same promotions, but rearranging images based on customer profile increased clickthrough & sales by 50%
Crowd Doc
Milind Bhandarkar of Pivotal syas GE has saved billions of dollars in aviation through good usage of #BigData
SIPA.org
http://twitter.com/prabhuvenkatesh/status/399237425068654592
prabhuvenkatesh
RT @dbstodder: Panelists seeing big value of increased personalization for increasing page views, stickiness after customer signs in to sit…
a minute ago
SIPA.org
http://twitter.com/prabhuvenkatesh/status/399238136946884608
prabhuvenkatesh
RT @CrowdDr: @sipa Milind Bhandarkar of Pivotal syas GE has saved billions of dollars in aviation through good us... #sipacon via https://t…
a few seconds ago
John Furrier
I talk to executives of large businesses all the time and they all want to know if the notion of custom experiences to the individual level are possible today and give some examples of that- marketing to the persona of one
John Furrier
http://twitter.com/Pkopanati/status/399245430375997440
Pkopanati
User Q - what's the downside of hyper-personalization? Serendipity is big part of hyper-personalization #sipacon #panel @milindbhandarkar
a minute ago
Crowd Doc
Panel says: Big data is moving towards uplift models that is truly based on causation which is enabling custom experiences in individual level and making marketing to personal level possible.
John Furrier I understand but full picture to individual personalization is a holistic view of the user experience which will require access to normalized data across all platform #bigdata challenge for sure
Crowd Captain
http://twitter.com/Pkopanati/status/399247268466790401
Pkopanati
Big data means breach of data especially w/ cloud storage? Panelists say not really - data points that breach in cloud is much less #sipacon
a minute ago
Crowd Doc
@techmilind in panel says: Four factors : 1/ Low Cost sensors 2/ Ubiquitous connectivity 3/ Mores Law 4/ OpenSource software. All of these has contributed to reduction of cost a lot and hence making hyper personalization for humans and devices.
Crowd Doc
http://twitter.com/shankarsitarama/status/399238807293157376
shankarsitarama
#sipacon Milind Bhandarkar going more into sources of data from sensors (hardware & software) and Analytics based on this.
a minute ago
John Furrier
@techmilind he is right on high compute performance will be "table stakes" at the game of cloud, mobile, big data.. What about Security? that is the wild card in this conversation
John Furrier
What are the mobile app preferred design approaches for users..HTML5 responsive design or a downloadable mobile app.. I've heard folks avoiding building downloadable iphone/android apps...thoughts
SIPA.org
Now on to panel #bigdata. Examples of hyper personalization from @jairawat, @ebay, @linkedin, @thefind & many more
John Furrier
I would be interested in the use cases that will create new user experiences with #bigdata esp the crowd social data
Malavika Lakireddy
@arrayent IoT is challenging as it is very fragmented and lack of standards #SIPAIoTPanel
SIPA.org
@cornett most companies are still in the planning stages of employing IoT. What are the obstacles of deploying IoT?
SIPA.org
Raghu Tarra: many companies have tried to implement IoT in the past, but failed to scale. IoT is very fragmented b/c there's no standard
prabhuvenkatesh
Lot of great info on BigData for SIPACON
Crowd Captain
Here is a link to a wealth of Big Data goodness from one of my other companies www.wikibon.org/bigdata Wikibon offers free research unlike Gartner, IDC, McKinsey..etc
Crowd Captain
Here is an example of free research from @wikibon http://wikibon.org/wiki/v/Can_EMC_Pivotal_Compete_with_AWS%3F Can Pivotal compete with #AWS ..My answer is No way
John Furrier That article is great explanation why Pivotal will not be competitive in the short term to #AWS too many challenges.. I'm a fan of Paul Martiz but not sure the team is in place yet.. it's early still
Crowd Captain https://twitter.com/shankarsitarama/status/399240827907481600
shankarsitarama
@furrier @CrowdCaptain #bigdata I agree with you about solution focus. I hope Milind with his focus on value and Analytics will do just that
an hour ago
Crowd Captain https://twitter.com/shankarsitarama/status/399240827907481600
shankarsitarama
@furrier @CrowdCaptain #bigdata I agree with you about solution focus. I hope Milind with his focus on value and Analytics will do just that
an hour ago
Crowd Captain https://twitter.com/shankarsitarama/status/399241595259600896
shankarsitarama
@furrier @CrowdCaptain #bigdata I also think that many vendors currently are in the state of building the infrastructure only.
an hour ago
SIPA.org
@jairawat where are gaps & opportunities for new #tech to come on in #bigdata personalization
John Smith
@techmilind says huge talent gaps exists. Thus old tech like MySQL is being glued to #BigData
John Furrier @techmilind totally agree but structured dbs are great after you rolled up insight on the unstructured.. a layer of intelligence and #techathletes will solve this problem