US
patent #8,375,213: Systems and methods for enabling trust in a federated collaboration
(http://ow.ly/taBRE ).
Issued 2-12-2013
Re-reading
one's own work after an intense writing session is like awakening from dream.
Was that train running down the track in my head?
Finished
drafting all o next week's quick-hits this morning. Re-reading. Connected a lot
of conceptual dots across my readings & my writings
"Deep
Web Intelligence Platform: 6+ Capabilities Necessary 4 Finding Signals in
Noise" (http://ow.ly/ta9Ai ) JK--Automated
sensemaking
Today's
"only Seattle artists" day on #KEXP reminds what
a stunning diversity of hi-quality music continues to flow from the Emerald City
RT
@kexpplaylist #kexp Lion's Mouth
by Arthur & Yu JK--"Oh my fingers in your buttons are like kissing
cousins making fabrics come undone."
"#BigData’s
Dangerous New Era of Discrimination" (http://ow.ly/ta6tQ )
JK--Michael Schrage on the dark side of demographic segmentation
"The
Data Storm: Retail & The #BigData
Revolution" (http://ow.ly/ta5HW ) JK--Interactive report
from The Economist's Intelligence Unit.
"Fundamentals
o Good Data Narration" (http://ow.ly/ta5cv ) JK--Eric Swayne:
"Critical not to confuse the visualization WITH the insight."
"Why
data science matters to Foursquare" (http://ow.ly/ta4UQ )
JK--Location-contextual notifications boost user time on check-in app.
"#BigData in
Education: Big Potential or Big Mistake? (http://ow.ly/ta2Qj ) JK--Potential:
personalization, feedback, tracking, assessmt
"#Bigdata ...
fast data w/BlueDBM" (http://ow.ly/ta0VE ) JK--MIT prototype
multi-node DB, networked flash devices, "near real-time query"
"Was
Eliot Ness a Hero or Hollywood-Inspired
Myth?" (http://ow.ly/t9jm2 ) JK--Chicagoans believe
former. Mrs. O'Leary's Cow got a bad rap
This
wk #IBM q-h's: http://ow.ly/t9bfd
http://ow.ly/t9bhd
http://ow.ly/t9biD
http://ow.ly/t9bki
http://ow.ly/t9blE
Sexy
statistics? The vintage kick of old data poured into fresh analytic bottles (http://ow.ly/t9aFE )
Friday #IBM quick-hit
Stupid
WSJ headline says retailer mailing to inadvertently offensive address is fault
of "big data," when in fact scale of DB is irrelevant
Wife
said she mistakenly mispronouncd happy new year in Hakka & came out dirty.
Have 2 trust her there. She & another Chinese had good laugh
It's
tomorrow now in Asia , so I'll wish Tio Ciu
family & friends (phonetically) "sin cha ju i." Happy New Year.
Horse.
"The
Data Visualisation Catalogue" (http://ow.ly/t7HMn )
JK--Cool compendium of alternative ways of eyeballing & exploring data
patterns
I'm
a bit jaded about "year of" IT pronouncements. Seems2me, the blogger
usually means "year of [whatever I personally happen 2 B doing]."
"Use AR
"Hal
Varian & “New” Predictive Techniques" (http://ow.ly/t6Pys )
JK--"Techs that R more well-known in ML than econometrics or std
stats"
"The
Two Characteristics of Data Accuracy" (http://ow.ly/t6OSu ) JK--1)
Right. 2) Unambiguous. Also. well-formed & consistent format.
@mjcavaretta Looks good. Thanks for
the great automotive #bigdatamgmt
tweetchat yesterday, Mike!
"Will
#Hadoop
replace traditional #DW?"
(http://ow.ly/t6MAx )
JK--Ford's @mjcavaretta quotes
something I blogged 3 years ago. Still valid
New
#IBM jk #Infoworld
column: "Cognitive computing can take the semantic Web to the next
level" (http://ow.ly/t6MeL )
Recommendation
engines? Untapped potential of video, image, & gesture analytics in retail
showrooms (http://ow.ly/t6Gp5 ) Thurs #IBM q-h
New
#IBM jk blog:
"Autonomic planet: Distributed intelligence for a self-healing
ecosystem" (http://ow.ly/t6FRu )
Preaching
to the choir is no sin. It's only a sin if you fail to preach to them about the
gospel of harmonizing in the right key.
#bigdatamgmt
@SJAbbott @marksalke @ Out of deference to the
tweeter from Ford, I opted not to mention their rival: Porter. 1928 model year.
Did
intense 2-hour analyst call taking open-ended ad-hoc questions on complex #IBM response. So
gr8ly appreciate having my colleagues on it!
"5
ways Washington DC
is very different than Silicon Valley " (http://ow.ly/t53ul )
JK--Also, we tend to wear suits.
A8:
#bigdatamgmt
My car GPS talks to me. It provides endless merriment when mispronounces common
words. Moves me deep down in my funnybone
A8:
#bigdatamgmt
"Talking cars"? Is this like a vehicular Mr. Ed? You mean connected
cars?
A7:
#bigdatamgmt
Most of the #auto
#telematics
car chatter shouldn't be stored long-term. Most is disposable. Needs to be
purged often.
A7:
#bigdatamgmt
I'd prefer that my in-car #telematics
chatter doesn't store the choice expletives I occasionally direct at nearby
drivers
A7:
data car gener can be divided 2 different classes based on relevance for manuf,
dealers, societal, privat, insur... #BigDataMgmt
Retweeted
by jameskobielus
A7:
#bigdatamgmt
Owners should store/control #telematics
chatter assoc with in-car entertainment. Private/monetizable personal asset
A7:
#bigdatamgmt
Depending on laws, #auto
manufacturers should have access to warranty-related #telematics
data while in effect.
A7:
#bigdatamgmt
Will store #auto
#telematics
"car chatter" in owner's cloud. Ideally, tags will identify data
assoc w/each licensed driver
A6:
#bigdatamgmt
Absolutely DO NOT focus on alerting drivers through smartphone or other gadget
apps. Far too distracting. Dangerous
A6:
#bigdatamgmt
Make full use of the in-car navigation system to GUIDE drivers in real-time
(e.g, detour here). Don't JUST alert them.
A6:
#bigdatamgmt
Use heads-up displays, audio, maps, graphics, large fonts, & even
tactile/kinesthetic approaches to send alerts
A6:
#bigdatamgmt
Regard driver as "functionally disabled"--ie=., eyes, hands, &
attention on safe driving. Dont distract w/excessive alerts
A5:
#bigdatamgmt
Component performance data should B checkpointd in factory & upon delivery.
What's design/engineering/manuf's fault?
A5:
#bigdatamgmt
Key to correl8n is timestamped + geostamped #telematics
event data. Fine-grained pinpointing o failure-contributory events
RT
@Natasha_D_G A5: Geospatial, time
series and machine data analysis is required. #bigdatamgmt
#telematics
A5:
#bigdatamgmt
If you have road/envir/operation sensors in cars, you have complete driving
history available to correl8 w/maintenance
A4:
#bigdatamgmt
#Telematics
data can reveal if drivers fail to add oil & coolant, hence stressing
engines beyond manufacturer recomm.
A4:
#bigdatamgmt
#Telematics
data can reveal if drivers fail to avoid potholes, hence throw out their
alignment & damage undercarriage
A3:
#bigdatamgmt
Info from vehicles & OLTP systems should be combined with sentiment, #CXO experience,
& survey data from owner/drivers
A3:
#bigdatamgmt
Building & managing 360-degree car
"view" requires #InternetofThings
+ #cloud + #BigData.
A3:
#bigdatamgmt
Combining event data-in-motion (from in-car #telematics)
with at-rest data data requires streaming/Hadoop/NoSQL integr8n
A3:
#bigdatamgmt
All that car-focused data will be combined, per privacy constraints, by #auto owners,
insurers, & dealers.
A2:
#bigdatamgmt
I expect that autonomous vehicles will be deployed everywhere as continuous
road-quality sensor/reporters.
A2:
Think in terms of collapsing time & accuracy issues between event and those
who did the design / engineering in the event #bigdatamgmt
Retweeted
by jameskobielus
A2:
#bigdatamgmt
If you have 1000s of cars/drivers feeding road-quality data continuously,
provides richer data for diagnosing faster
@mjcavaretta A2: #bigdatamgmt
For consumer-owned car, sensors already on vehicles. For traffic-mgt/civil-engineer
cars, specialized sensors
A2:
Vehicle sensor data w/ warranty claims, production data & other data can ID
quality patterns faster than b4 #bigdatamgmt
Retweeted
by jameskobielus
A2:
#bigdatamgmt
Cars are the advance scouts of any issues in and around the road system. They
& their drivers see/feel problems first.
A1:
#bigdatamgmt
Road-embedded sensors can alert engineers to emerging issues (e.g., bridge stress
fractures) before catastrophe hits.
A1:
#bigdatamgmt
In-car #telematics
can provide real-time intel to feed predictions of hazard systemwide impacts
(e.g., congestion)
A1:
networked traffic signals could get info from vehicles & reroute traffic or
change signals for better flow #bigdatamgmt
A1:
Lightweight MQTT transport protocol enables real time communications #bigdatamgmt
#auto #telematics
Retweeted
by jameskobielus
A1:
Combo streaming geospacial data + vehicle sensor data extends driver's
awareness beyond range of vision #bigdatamgmt
A1:
#bigdatamgmt
#Telematics
can use in-car imaging, motion sensors, environmental sensors to detect and
assess road hazard in real-time
A1:
#bigdatamgmt
Connected cars should be networked in real-time to regional alerting service.
First car on scene alerts the system
@mjcavaretta I stand corrected!
#bigdatamgmt
I am deeply honored to be doing this tweetchat. And I hope you all feel honored
to have me in your virtual presence.
Special
treat on today's #bigdatamgmt
tweetchat: 2 Livonia
geeks. Myself + Ford's @mjcavaretta.
I'll forgive him for being Bentley HS alum.
@Natasha_D_G knows I have her back
on the #bigdatamgmt
tweetchats. Have topic, will tweet.
40
min to #bigdatamgmt
chat: Automated #Telematics:
When Cars Talk w/ @mjcavaretta http://ibm.co/1e32vuz
Join me/us! #auto
#bigdata #hadoop
"Social
Sentiment’s Missing Measures" (http://ow.ly/t4oZl )
JK--Classif by "biz-aligned splits." Sentiment density. Variation.
Volatilty
Internet
of Things? Instrument the birdies, bees, and other beasties p1: http://ow.ly/t4mPT
p2: http://ow.ly/t4mSm
Wed #IBM q-h
Join
me et al on #bigdatamgmt
chat: Automated #Telematics:
When Cars Talk http://ibm.co/1e32vuz at 12noon ET
today #bigdata
#auto
RT
@kexpplaylist #kexp Desire Lines
by Deerhunter from Halcyon Digest JK--2010. I pound a tweet every time I hear
this pounding beat.
Catch
me downtown tonight, "Past, Present, Future of #DataScience
Education," GWU, WashDC, Funger Hall, Rm 103. One of many Meetup attendees
WashPost
article on a "culture of toxic military leaders." I'm sure that
career encourages nasty power-besotted SOBs to indulge their worst.
Day
greeted me with an inch. I greeted it with a shovel.
Saw
"Blue Jasmine" on DVD. Wow! My fave Woody Allen & fave Cate
Blanchett film of all. Superb script, direction, & performance.
Fox
News respectfully notes Seeger passing. Paraphrasing: "he sang catchy
tunes." Roughly what you'd say if Billy Joel'd bit the big one.
"Large
scale data analysis made easier with SparkR" (http://ow.ly/t2Oii )
JK--Blog from UC-Berkeley AmpLab
"#BigData
Econ" (http://ow.ly/t2Nsb ) JK--Knwldg w/out
expertise, scale w/out mass, data = capital, privacy is brand value, semantic
econ
"Eclipse
Ups Ante for Internet of Things Community" (http://ow.ly/t2N2s )
JK--Now has 13 projects focused on open-source M2M & IoT apps
@GrandpaRobot You seem to have
ideas on the topic. Why not write that blog yourself? I'd love to read it.
"#IBM Anncs Glob
Cnsltg Pract" (http://ow.ly/t2nsb ) JK--IBM Interactive
Exper. Life Event Detection. Behav Pricing. Psycholing Analytics
RT
@kexpplaylist #kexp Talking Union by Pete Seeger frm If I Had A Hammer: Sngs o
Hope+Struggl JK--1947. Written 1941 by Seeger/Lampell/Hays
Weekly
process of forcing my head to revisit data mgt themes I may not have blogged on
in a while. Data gov, for example. What's new to say?
"New
#IBM Kenexa
Talent Suite Taps #BigData"
(http://ow.ly/t1RyH )
JK--HR analyz empl work exper, social enggmt, skill dev, indiv intrsts
"Streets
o Ann Arbor
Will Soon Be Filled w/ Driverless Cars" (http://ow.ly/t1Okr )
JK--Designated drivers for college-town party animals?
RT
@ClaireVinent: Predictions for
the Internet of Things in 2014 & beyond http://buff.ly/1ljpG7K
via @jameskobielus
"Ask
yr data scientists 2 call my data scientists" (http://ow.ly/t1NNu )
JK--Re analytic products, they make/influence purchase decisions
Data
monetization? Pay the persons for their personal data p1: http://ow.ly/t1NjG
p2: http://ow.ly/t1NmP
Tuesday #IBM
quick-hit
RIP
Pete Seeger. Played huge role in putting Americans in touch with their musical
heritage. Profile in courage 4 resistance to McCarthyism
RT
@dangillmor: Tom Perkins bravely
wages his campaign to be seen as California 's
most clueless ultra-rich asshat.
RT
@kexpplaylist #kexp Steppin' Out
by Paul Revere & th Raiders frm Nuggets Vol 2 JK--Gr8 rockers undermined
credibility with hokey costumes
"When
to use Pig Latin vs Hive SQL?" (http://ow.ly/t0b06 )
JK--Good guidance for #bigdata
analytics developers using #Hadoop #MapReduce
"Gluster
Vs. Ceph: Open Source Storage Goes Head-To-Head" (http://ow.ly/t09kG )
JK--Useful checkpoint on these communities.
#Criteria for
high-quality, efficient #statisticalmodels
begin with truth and beauty http://ibmdatamag.com/?p=12365
by James Kobielus
A8
U don't need #data
2 prove every pain point but most of the time, ideas w/o #data are just
conjecture. #CXO
A8:
it's simply being ignorant. Not doing so allows your competitors a huge opportunity
to poach your customers #cxo
A8:
#cxo If you grow
tone-deaf from not engaging in multichannel listening, you'll slowly wither.
May not die. But may not grow.
A8:
#cxo Where cust
exper is concerned, U wont perish if dont have #bigdata. But
you'll grow tone-deaf. Multichannel listening is key.
A8:
#cxo Neither
true nor false. Data scale not the issue. Competitive survival is all about
foresight, agility, mgmt, & resources.
A7:
Supply chain data on second- and third-tier suppliers can provide competitive
advantage. #cxo
A7:
#cxo Your data
& your data scientists may B unexceptional. Your advantage may driving
data-centric decision suppt throughout your biz
A7:
#cxo Your data
alone may not be your competitive advantage. Rather, your key asset may be
data-scientist smarts for analyzing it all
A7:
#cxo Compet adv
is in unique value-prop difficult/costly for others to match. Your operational
data may be unique asset. Mine it!
A6:
#cxo In terms o
churn risk, use data (survey, call ctr, etc.) to identify which high-CLV
customers most likely to jump. Target them
A6:
#cxo Customer
survey and social influence data can reveal who drives sentiment, hence
retention/sales/etc.
A6:
#cxo Customer
data can readily reveal who has highest CLV historically. Predictive analytics
can help forecast CLV.
A6:
#cxo Focus on a)
customers w/high lifetime value, b) customers with greatest influence over
other customers' behavior/opinions.
A5:
#cxo Using data
to pre-empt churn: a) analyze competitive price-points, b) assess own vs rival
solutions, c) ID why U piss 'em off
A5:
#cxo Pre-empting
churn: a) reduce price, b) boost value, c) provide superior customer
svc/engagement.
A5:
#cxo Main churn
drivers include a) you're too expensive, b) don't offer competitive value,
& c) have alienated customer
A4:
#cxo Use data
you acquire during sales process to adjust your approach to woo each individual
customer. 1:1 personalization.
A4:
#cxo Direct
marketing = targeting your message to the most promising new segments. That
demands market research data
A4:
#cxo Sales
prospecting depends on data on qualified leads. That's fundamental to customer
acquisition. Hot prospects?
A3:
#cxo Perhaps
leverage customer churn data. What "matters most" may be what the
competition's selling.
A3:
#cxo You should
start by asking what overall experience "matters most." Data to
answer that? Are prod/svc features priority?
A3:
#cxo Of course,
"matter most" starts w/ what they're buying. Purchasing data. Also,
data on what prods/feats they're requesting
A2:
#cxo Do
real-world experiments & A/B testing of diverse variables across different
channels. Measure differential #CXO lift.
RT
@TabithaDunn #CXO A2:
Ethnographic research into customer moments of truth can help prioritize what
data matters most. #cxo
A2:
#cxo Incorporate
data on social influencers. Perhaps brand value perception shaped more by them
than by your channels.
A2:
#cxo Gather
& compare data on customer interactions on various channels. Which channels
drive sales? Which drive satisfaction?
A1:
#cxo Data may be
lacking to reveal cust "reachability" pref if you've never given them
altenative. They grin&bear your current chan
A1:
#cxo Data on
past interactions can reveal if responding as U wish. But if have new custs or
channs, past data not much help
A1:
#cxo Data can
help you determine which were the most EFFECTIVE ways to reach customers, in
terms of response, acceptance, satisfaction.
@IBMbigdata #cxo A pleasure
once again to be driving your tweetchat experience for the next hour or so.
35
mins to #CXO:
Using #Data 4 #CX Advant w/ @StephanieThum @WilliamMcKnight & Li'l Ol'
Me http://on.fb.me/1dTdC9e #custserv #bigdata #cem
Drafted
latest #IBM jk
blog: "Autonomic planet: distributed intelligence for a self-healing
ecosystem"
RT
@kexpplaylist #kexp So Says I by
The Shins from Chutes Too Narrow JK--2003. Love this song. Have never
understood the Sir Thomas More ref
Workday
stress relief involves clearing my workspace of tasks. Do it, lose it. Like
training with superheavy weights. Burdens test the heart
"ROI
of Data Governance" (http://ow.ly/sZgVU ) JK--Good quantifiable
metrics. What's a "tranche"? Don't get all French on us suddenly.
"Why
video is next big thing in #bigdata"
(http://ow.ly/sZfwt )
JK--Some #IBM
brainiac called this "Big Media" (http://ow.ly/sZfO7 )
"#BigData:
Retailers, Supermkts, Med Mkts All Dive In 2 Extract Info From & About
Consumers" (http://ow.ly/sZdAz ) JK--US lagging Europe ?
Columnist
(Net Wd, mostly), analyst (various), evangelist (IBM): that's the progression
of my career as an IT industry opinion-slinger. Hmm.
"Social
Media Data, Sensor Data, Open Data can make..." (http://ow.ly/sZcty )
JK--Discusses #IBM
& other #SmarterCities
initiatives
"Using
#BigData to
Ask Big Questions" (http://ow.ly/sZbPd ) JK--Explore larger
issues whose data-centric answers not evident 2 naked eye
"Wht
Hse study #bigdata.
5 things it should know" (http://ow.ly/sZatl ) JK--"3. Big means
nothing." Bingo! Privacy vulnerable @ any scale
"White
House Launches #BigData,
Privacy Review" (http://ow.ly/sZ9Ya ) JK--Needs to engage
UN, other nations in the discussions.
Morning's
overstuffed inbox. Are newly received emails the crumbs U sweep off yr desk 2
start your day? Or are they the meat of what awaits?
Mornings
are just matter of waking & slapping yourself back to the land of the
living. Quotidian rebirthing. Hopefully absent the screaming
Morning
is gray and freezing. Oh...it's January. I'll keep my expectations in check.
It's a perfectly seasonable day, then.
RT
@kexpplaylist #kexp Lost Boys
& Lost Girls Club by Dum Dum Girls from Too True JK--2014. Excellent new
song. They do Letterman this week
RT
@kexpplaylist #kexp Bulldozer
Love by Blank Realm from Grassed In JK--Cool. Sounds sorta like Tom Verlaine
fronting Dandy Warhols
Smarter
planet? Intelligence for a self-healing landscape p1: http://ow.ly/sYZdY
p2: http://ow.ly/sYZhH
Monday #IBM
quick-hit
RT
@kexpplaylist #kexp Salvador
Sanchez by Sun Kil Moon from Ghosts of th Great Highway JK--2003. Brilliant
grinding drone. Achieves majesty
Saw
2001 "Doc Martin" film that preceded TV show. Essentially, diff
character, slightly diff name, same actor. Nicer. Prefer the curmudgeon
Well,
that's two French presidents in a row who've split with their significant other
mid-term. Surprised it didn't happen to the Clintons .
Another
Sunday yoga teaches comes and goes, due to conflicting life priorities. What?
This isn't their whole life? I'm shocked.
Met
a longtime #IBM-er
who was born & raised in Endicott
NY
When
some Facebook newbie posts in ALLCAPS, I'm wondering if it's from a Wang
wordprocessor circa 1978.
Some
called Newton 's
gravity "spooky action at a distance." You can think of quantum
mechanics as spooky action close up.
Danny
Kaye. "CBS Sunday Morning" profiling this all-around superb
entertainer. Even his final TV performance ("Cosby Show") was
memorable.
The
news that IBM is disposing of its x86 server business to Lenovo for about $2.3
billion comes as no shock. http://bit.ly/1fe4pXY
Excited
for tomorrow! Emceeing at #IBMConnect
and get to introduce legendary @geoffreyamoore
and the Queen of #socbiz
@Sandy_Carter
Fingering
my stubble. Sunday's one of my shaving days. Can't start the week without
mowing the facial lawn.
Planning
stuff I want to accomplish this year, work-wise. Hmm. Unusual for me over
Sunday breakfast. Normally I drift at this time.
RT
@shawnrog: 5 Laws of #BigData
Startups - Analyst rant on Big Data startup briefings & strategy http://ow.ly/sNiKD
#bigdata #startup
RT
@TheDailyShow: Group of world's
wealthiest people gather in secluded mountain enclave 2 discuss income
inequality. http://on.cc.com/1jtrVDD
The
only Grammy contest that I have an opinion on this year is that Macklemore
& Ryan Lewis should get Song Of The Year for "Same Love."
New
jk #IBMDataMag
article: " When and When Not to Have Faith in Statistical Models – Part
1" (http://ibmdatamag.com/2014/01/when-and-when-not-to-have-faith-in-statistical-models-part-1/ …)
WSJ
review of WSBurroughs bio. I saw him onstage in Madison in 1984. Weird creepy unhinged
incoherent ranting maniac. And that's being kind.
Can
we drop the "also known as Lou Gehrig's disease"? This ain't 1941. By
this time, every1 knows it's called amyotrophic lateral sclerosis.
"Stephen
Hawking Proposes Radical New Theory of Black Holes" (http://ow.ly/sVBeV )
JK--Link is abstract of his paper awaiting peer review
My
primary objective in consolidating many contributors' inputs to a document is
to guard against broth spoilage. I keep tasting the soup.
