RT @kexpplaylist#kexp I Sleep Just Fine by Red Jacket Mine frm NyQuil & Wine JK--2013. Very nice. Obviously influenced by Byrds country-ish
Would take elephant balanced on pencil 2 puncture graphene sheet the thickness o Saran Wrap. Sounds ideal for micrometeorite protective skin
RT @kexpplaylist#kexp Caribbean Blue by Dntel from Enya Mixes JK--Cool mash of sonic snippets from this Enya gem.
Last night I did most radical purge of my paper-based research archives. Essentially, I tossed out everything pre-IBM, except my own work.
Hey punk, you really must be daft if you think staying up all night will help you get lucky. Cut your losses at midnight.
"Don't Be Scared If Surgeon Wearing Google Glass In Operating Room" (http://f-st.co/KipGDs0 ) JK--I'm scared they'll leave it inside me
Gary Cole. If they ever make a movie about Larry Ellison, that's the actor to cast. Looks. Lumbergh.
JD Salinger. Yet another article on late reclusive author. IMHO, his output was fine but not mindblowingly so. Dont understand the obsession
WashPost travel article by some white dude visiting Indonesia . Says Westerners a "novelty" there. Not true. I have never felt that way there
I can't believe people give a crap who plays Batman...& I can't believe they object to Ben Affleck. He's a good actor. Ease off him, people!
Egyptian military rulers release former dictator Mubarak, exclaiming "You're our guy!"
Bought & downloading MS MR's debut LP, "Secondhand Rapture." #KEXP review captures it: http://ow.ly/odU6e . Voice/vibe is distinctive
RT @kexpplaylist#kexp Since She Started to Ride by Jonathan Richman from Action Packed: The Best o Jonathan JK--Country-western becomes him
"Could ‘ambient backscatter’ power Internet of Things" (http://ow.ly/oduFb ) JK--Refers to absorbing stray radio waves as lo-power source
RT @kexpplaylist#kexp Wires by Red Fang from Murder the Mountains JK--2011. Had 2 chek r-t playlist 2 make sure is not Grand Funk Railroad
Dont miss fastest twitter hr in #CXO chat: Idiosyncrasies, Novelties, Degrees & Custr http://on.fb.me/155f1GC w/ @kirkdborne et moi Mon 12 ET
#CXO chat is back, Mon 12 ET! Idiosyncrasies, Novelties, Degrees & Custr Intimacy http://on.fb.me/155f1GC w/ @KirkDBorne#cctr#bigdata
Getting ready for #IBMVirtual Enzee: Scalable Bulk Data Processing with #PureDataSystem for Analytics. Speaker from Brightlight Consulting
Whew. Finished all 5 of next week's quick-hits. I know I'll extend several into blogs at later dates. For me, q-hs are ideation nuclei.
RT @kexpplaylist#kexp Instant Karma! by John Lennon & Th Plastic Ono Band frm ShavedFish JK--My personal fave Lennon solo. We all shine on!
Was thinking about most obvious precedent for Bezos buying WashPost. Remember when AOL "merged" w/TimeWarner? Remember how that turned out?
Spam. I'm sure USPS has a "Manager Jacob Whitley" with my personal email addr who sends "failed delivery" notifs. No wonder they're losing $
This wk #IBM jk q-hs: http://ow.ly/ocncd http://ow.ly/ocndC http://ow.ly/ocnfA http://ow.ly/ocnhB http://ow.ly/ocniz
#BigDatadiscovery? Using machine learning 2 distill knowledge frm data without preconceived models (http://lnkd.in/VA4ire ) Friday #IBM q-h
Big-data discovery? Using machine learning to distill knowledge from data without preconceived models: http://lnkd.in/VA4ire
RT @conradhackett"Lefthandedness previously linkd 2 criminality but now linkd 2 intelligence/creativity" JK--Whew. I'm off Most Wanted List
Chelsea Manning? Planning a surname transgendering as well? Womanning? Does the US prison healthcare system cover all that (body & moniker)?
New #IBM jk blogpost: "Decision Confidence: Where the Predictive Chickens Come Home to Roost" (http://ibm.co/14HWOc5 )
RT @kexpplaylist#kexp Live and Let Live by Ty Segall from Live on KEXP JK--Good cover of Love song from 1967's "Forever Changes" LP
RT @kexpplaylist#kexp Be Thankful 4 What Youve Got by William DeVaughn frm Soul Hits o Th '70s: Didn't It Blow Yr Mind Vol 12 JK--Smoothhhh
RT @kexpplaylist#kexp The Shrine/An Argument by Fleet Foxes frm Helplessness Blues JK--Gorgeous dramatic song. Equally gorgeous anim8d vid
"EdgeRank Is Dead: Facebook’s News Feed Algorithm Now Has Close To 100K Weight Factors" (http://ow.ly/oafOd ) JK--100 freakin' thousand?!
"Data science as an experimental process: unsupervised and supervised learning" (http://ow.ly/oafee ) JK--Good primer on this topic.
"OpenStack Savanna" (http://ow.ly/oaeJ0 ) JK--Savanna = #Hadoop as a Service for OpenStack with REST API
Digital publishing has acceler8d human evolution. We're becoming species highly adept at find/clicking "skip this ad" as soon as it appears
"How Predictive Analytics Is Changing Hollywood " (http://ow.ly/oacIi ) JK--Good one. Also see: my July 30 q-h: http://ow.ly/oad7L
"My issues w/ #BigData: Sentiment" (http://ow.ly/oabwY ) JK--Illustrates perfectly the need 4 human analyst vet o sentiment-imbued tweets
"Do You Have Right Culture for Customer Experience Initiative?" (http://ow.ly/oab45 ) JK--You're overthinking this. Just eat own dogfood
"Does #bigdatahave us 'fooled by randomness'?" (http://ow.ly/oaax5 ) JK--Dont confuse spurious correl8n w/randomness or blame BD if U do
"Will Human Analysts Ever Go Away?" (http://ow.ly/oa8lR ) JK--Huh? Have they said something to offend you?
"Can USPS find future running govt cloud authent svc?" (http://ow.ly/oa7yJ ) JK--Dunno. Perhaps sacrilege, but Y not sell ads on stamps?
RT @kexpplaylist#kexp Pushin' Against a Stone by Valerie June frm Pushin' Against a Stone JK--2013. Gr8 debut LP. Brooklyn/Tennessee artist
Context accumulation? Content accumulation contextualizes algorithm optimization (http://lnkd.in/pH54s2 ) Thursday #IBMquick-hit
RT @kexpplaylist#kexp Rambling Man by Laura Marling from I Speak Because I Can JK--2010. Excellent British folk-rocker.
RT @kexpplaylist#kexp I'll Be Your Mirror by VU from VU & Nico JK--Cool thing about Nico singing Lou's: mirrored him, reflecting what he is
Context accumulation? Content accumulation contextualizes algorithm optimization: http://lnkd.in/pH54s2
"Bradley Manning: I want to live as a woman" (http://ow.ly/oa2xd ) JK--Which puts the feds in a Guantanamo-grade dilemma. Woman's prison?
Hootsuite is good for casually following several socials. But TweetDeck is best for rapidfire Twitter chats. So I alternate.
Research shows Facebook users are unhappier than non-Facebook users. Researchers attribute this to triggering neverending social comparisons
Angel Diaz explains DevOps's place in IBM's open cloud architecture: http://ow.ly/o6w7V ^KS
Retweeted by jameskobielus
I don't generate original ideas. My milieu does. I mill milieu in my mind and massage the mess into a message that feels like mine. I mine.
"#IBM Unveils #BigDataAnalytics-bsd Dshbd to Boost Ent Risk Mgt" (http://ow.ly/o8H76 ) JK--New Signature Solution 4 credit lifecycle mgt
RT @kexpplaylist#kexp (Tony, This Song is Called) Lou Weed by The Dandy Warhols from Dandys Rule OK JK--1996. Funny/weird title. Gr8 flute!
RT @kexpplaylist#kexpSea of Glass
@IBMbigdata#ibmblu Been a pleasure. Now: to decompress my overheated cranium.
@IBMbigdata@craigmullins#ibmblu If "metadata" can get "cool" (or at least on everybody's lips), there's hope 4 "compression." Not yet tho
A8: I want the compression algorithm to be smarter than me and it's way smarter with combination of techniques in #ibmblu
Retweeted by jameskobielus
A8: #ibmblu One might recognize that speedy compression must be applied to operational data, but not as critical on bulk archival data
A8: #ibmbluThere's a need to apply different compression schemes to different types of data, to minimize data footprints & max efficiency
A7: #ibmblu RT @tomlrieger: RAM still expensive & to be able to work on compressed data and have smart cache on columnar is important
A7 - Better use of memory, less I/O, faster utility execution, foundation for other technologies to leverage #ibmblu
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#ibmblucompresses data as much as possible, compresses the most commonly occurring data & and then optimally packs it = performance gains
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A7 – pack more data into every I/O, page and CPU operation. #ibmblu has it. Competition stops short.
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A7: #ibmbluCompression can improve memory/disk usage & query performance in one fell swoop if can operate on still-compressed data.
A6: Why does a DBA need to manage a DW full of secondary tuning objects? Modern DBs (e.g., #ibmblu#PureData) make that unnecessary.
A5: #ibmblu RT @tomlrieger: Phys (machine) & logical (query path) opp's 4 optimization. Compression in #ibmblu makes easier to scale both
A5: Compression alone? No. What CAN and HAS replaced some of the tuning objects is COLUMNAR IN-MEMORY databases a la #ibmblu
A5: #ibmblu RT @Keith_Carlsen: [compression can't replace tuning objects] by itself. Only when part of bigger set of data proc optimizations
A4 - I’ve seen 2x expansion routinely. Aggregate/summary tables take space, but also admin/CPU to maintain. Not needed with #ibmblu
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A4 The "extraneous" objects used for tuning can double the size of a database. #ibmblu
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Better quality of life for DBAs! RT @enzeevoice#ibmblu - major advtge is admins...can manage the data without it crushing them.
RT @Keith_Carlsen A4 Aggregate/summary tables take space, but also admin/CPU to maintain. Not needed with #ibmblu
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@Keith_Carlsen A4 - yes, simplifies the DBA experience to not have to design/manage aggregates #ibmblu
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MQTs, indexes and the like bloat load times by 2-3x. There is a lot of work to keep all that overhead current with each new row #ibmblu
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A4 Worse yet, those tuning objects require their own maintenance. #ibmblu
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A4: #ibmbluSecondary tuning (indexes) can increase data stor requirements considerably. Fortunately #IBM#Netezza#PureDatadoesnt use em.
A3: #ibmblu Can move the detail data to cheaper cloud bulk storage.
A3: #ibmblu You can do pre-processing analytics on incoming data to find key patterns/trends of interest, so need to keep less detailed data
A3: #ibmblu You can profile incoming data (using IBM Data Explorer) to determine upfront what's worth retaining. Can use dedupe to reduce it
A2: #ibmblu Need for real-time analytics against massive online data sets may also reduce some needs for archiving and purging.
A2: #ibmbluStorage cost reductions may lesse needs for frequent data archiving, purging, compression, and other storage optimizations.
A1: #ibmblu#BigData's focus on advanced analytics has increased the need to do fast indexing query etc of data without decompressing
A1: #ibmblu#BigData's growing varieties of structured & unstructured intensify need for differentiated compression of diverse data types
A1: #ibmblu#BigData's velocity requirements (stream computing etc) has intensified the need for very fast compression/decompression.
A1: #ibmblu#BigData has spurred order-of-magnitude increase in storage requirements. Compression is central pillar o storage optimization
A1: #ibmblu#BigData's massive data volumes require efficient compression to make cost-effective use o storage resources. IT budgets limited
Firing up the spirit fingers for #ibmblu chat on Controlling Your Data Footprint http://ibm.co/19w6A94 - join us!
Retweeted by jameskobielus
Wrote next Monday's #IBMquick-hit: "Big Media? Adv analytics & deep metadata bring shape to the BLOB" Theme I'll include in my IOD preso
Join #ibmblu chat as @jameskobielus@jrockwood@infomgmtexec@billcole_ibm etal discuss Controlling Yr Data Footprint http://ibm.co/19w6A94
@mjasay Might think o "3 Vs" as "3 Ss" (scale speed scope)(http://ow.ly/o8flH ). Some equ8 "scale" w/"volume." Same concepts, diff words
@mjasay Confusion is endemic to many #bigdata industry discussions when people treat the 3 scale Vs as equiv to non-scale Vs (veracity etc)
Join me today at 1 PM ET for #ibmblu chat on Controlling your Data Footprint! Details: http://ibm.co/19w6A94
@mjasay#bigdata"scale" is about 3 quantifiable dimensions of "more": capacity (volume), speed (velocity), and diversity (variety).
@mjasay Huh? Variety and velocity are two components of scale. Volume is the third.
My tweaked definition of #bigdata: deep business value derived from implementing advanced analytics and trustworthy data at extreme scales.
Data-scientist skillsets? Meshing of minds attuned to abstract patterns (http://lnkd.in/sSEi7k ) Wednesday #IBMquick-hit
Data-scientist skillsets? Meshing of minds attuned to abstract patterns: http://lnkd.in/sSEi7k
Catch me at EuroCloud/ICS 2013, Luxembourg , Oct 15-16, moderating panel on #bigdata cloud standards.
WSJ says even th French now mostly feel baguette crusts are too hard. Relieved. I thought perhaps they had sharper teeth than the rest of us
Drafted next #Dataversityblog: "#BigData's Coming End-State Architecture"
Podcast w/ @tcrawford: advice for CIO's on overcoming inertia and the "3-legged race" of culture http://ibm.co/16WVAf9 #bigdata
Drafted latest #IBM jk blog: "Decision Confidence: Where the Predictive Chickens Come Home to Roost"
"Reshaping New York " (http://nyti.ms/16GGcHv ) JK--Extraordinary visualization-centric online data journalism from the New York Times.
"Redefining risk for #bigdata" (http://ow.ly/o5zle ) JK--Good discussion of data security risk mitigation for Internet of Things.
"Appld Pred Mdl" (http://ow.ly/o5yzL ) JK--SMiller beef w/"stat learn pedgogy": "absence o comp perf consids in eval o diff modl technqs"
"#BigData in Manufacturing: Rise of the Machine" (http://ow.ly/o5y6w ) JK--Some interesting stats on Internet of Things/M2M adoption.
RT @kexpplaylist#kexp GMF by John Grant JK--"I wonder who theyll get 2 play me maybe theyll dig up Richard Burton's corpse" (gr8 MF indeed)
Internet of Things? All in (teeny-tiny) memory (http://lnkd.in/wD8Tpp ) Tuesday #IBMquick-hit
Internet of Things? All in (teeny-tiny) memory: http://lnkd.in/wD8Tpp
RT @kexpplaylist#kexp Down Down the Deep River by Okkervil River from The Silver Gymnasium JK--Great new rocker from the Austin group.
Something fishy about ostrich-egg New World globe said from 1504. Shape of S. America too accurate. Europeans hadn't yet circumnavigated it
Marriage. Has anyone ever produced a "friend with benefits" calculator that factors costs & risks into the equation? Good investment?
Be ironic if after accomplishing everything on your personal list you get to Heaven & God literally makes you kick a bucket for all eternity
"How is #bigdataused in porn industry?" (http://ow.ly/o4eAq ) JK--Hesitate 2 ask what their intimate 360-degree view o customer reveals.
Article refers 2 ill-fated entrepreneur as "charismatic founder of the bankrupt..." Much better 2 B "boring founder of wildly successful..."
A9: @IBMbigdata#CXO#CEM#IBM#BigData also runs risks of diminishing engagement if privacy concerns diminish customer trust in biz
A9: @IBMbigdata#CXO#CEM#IBM#BigData runs risk of diminishing engagement if biz lets data-driven analytics crowd out direct human convos
Q9: @IBMbigdata#CXO#CEM#IBM#BigDataimproving engagement through more powerful 360-view targeting of offers, interactions, experiences
A8: @IBMbigdata#CXO#CEM#IBM Customer engagemt strategy in 2020 will accept that smartphone-equiv is dominant chann for most transactions
A8: @IBMbigdata#CXO#CEM#IBM Engagement strategy for 2020 customer will accept diminished importance of in-person face2face interactions
Q7: @IBMbigdata#CXO#CEM#IBM"Contxtually relevant at each moment" is something only th customer can truly decide: "hey biz--LISTEN 2 ME!"
A7: @IBMbigdata#CXO#CEM#IBM Key 2 being contextually relevant at each journey point is NEVER choke off possib o person:person interaction
A6: @IBMbigdata#CXO#CEM#IBM Mobile = "me now" context. Social = convo contxt.#bigdata = past/present/future contxt. Cloud = world contxt
A6: @IBMbigdata#CXO#CEM#IBM SMAC (social mobile analytics/bigdata cloud) is the new agile "platform" context for ubiquitious engagement
A6: @IBMbigdata#CXO#CEM#IBM Cloud# + #mobilitydeliver cust engage everywhere, #bigdataoptimizes it, & #socialframes it in life-context
A5: #IT must support integration of data across multiple channels, cust action on 1 channel recognised when they switch to another #cxo
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A5: IT should walk a mile in #custserv, #marketing , and even product dev shoes to understand #custexp - then facilitate solutions | #CXO
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A5: CIO’s should be chg agent 4 #CX initiatives. Don’t wait on #CMObut engage fully in custr engagement strategies #cxo
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A5: @IBMbigdata#CXO#CEM#IBM IT's #bigdata team needs to help the customer-facing biz functions explore power of graph analytics for CXO
A5: @IBMbigdata#CXO#CEM#IBM IT team needs to proactively align its #bigdataefforts with/mktg, sales, & cust svc experience initiatives
A4: @IBMbigdata#CXO#CEM#IBM Businesses stay agile if they recognize when post-transaction surveys counterproductive (e.g., irritate cust)
A4: @IBMbigdata#CXO#CEM#IBM Businesses remain agile if stay ready 2 incorpor8 fresh data on customer if old data obscures true sentiment
A4: @IBMbigdata#CXO#CEM#IBM Businesses remain agile by being ready 2 self-disrupt own biz model & prod/svc portfolio as cust behav shifts
A3: @IBMbigdata#CXO#CEM#IBM You risk a create/consume "gap" if imagine only one customer sentiment source (e.g., Twitter) always suffices
A3: @IBMbigdata#CXO#CEM#IBM If value creation/consumption "gap" opens up, is cuz biz either NOT listening 2 customers or NOT acting on it
A3: @IBMbigdata#CXO#CEM#IBM Value creation: biz pitches, but satisfied customers are your best marketing. They spread the word to others
A3: @IBMbigdata#CXO#CEM#IBM Value creation/consumptoin is not a "gap" that needs to be "bridged"--if biz actually listens to customers
A2: @IBMbigdata#CXO#CEM#IBM The B2C convo must be give-take dialogue between biz & cust. Don't always be in their face. Let them breathe
A2: @IBMbigdata#CXO#CEM#IBM Important for biz NOT 2 aggressively dominate B2C customer convo w/pre-trans pitches & post-trans surveys
A2: @IBMbigdata#CXO#CEM#IBM Engagement = ongoing B2C convo. Transactions are key events in the convo. But satisfaction always convo focus
A1: @IBMbigdata#CXO#CEM#IBM Contextual engagement def'n: be "in the moment" with each customer each step of their personalized journey
A1: @IBMbigdata#CXO#CEM#IBM"Contxtualizn" biz case must B part numbers (ROI) & part narrative (case study/anecdote) re 1:1 cust engagemt
A1: @IBMbigdata#CXO#CEM#IBM Buy-in from leadership team needs to be from CEO on down, with chief customer officer framing the case in ROI
A1: @IBMbigdata#CXO#CEM#IBM The "contextual" part of engagement: business case is treat each customer as indiividual & they'll stay
A1: @IBMbigdata#CXO#CEM#IBM You build business case through monetary ROI from retention, upsell, satisfaction. Engaged = happy customers
http://lnkd.in/zqDAJT Yes. We face a never-ending challenge, amid the incessant hype, to ground the world's expectations of what big...
http://lnkd.in/tBzmar "Cleaner"? "Isolate signals"? Those terms aren't 100% useful in this context. You're thinking of sentiments as...
http://lnkd.in/vUXdVV Let's not predispose ourselves to labeling it "intrusive." The flipside is "intimate." Intimacy is something each...
"Is #BigData an Economic Big Dud?" (http://ow.ly/o3uk2 ) JK--None o the economist quotes evince a clear understanding of what big data is
"An Argument for a Data Science Code of Professional Conduct" (http://ow.ly/o3sP4 ) JK--Excellent code: skip to bottom of article.
"Corr v. Caus: Science Art & Magic o Experimental Design" (http://ow.ly/o3s4o ) JK--Frequent overlap between superstition & early science
Hey #KEXP@loserboy: if you absolutely MUST have coffee constantly while you work, why not keep a Keurig machine in the DJ booth?
"Re-identifying anonymous people within public datasets with #bigdata is possible" (http://ow.ly/o3pLT ) JK--In other words, sleuthing
"Importance of Segmentation and how to create one?" (http://ow.ly/o3obV ) JK--Excellent detailed structured discussion for practitioners
"Relishing the #BigDataBurger" (http://ow.ly/o3l8q ) JK--#Hadoop landing & archiving, vis-a-vis DW. Don't worry. Not elephant patties.
Join me & @jameskobielus for #CXO chat Mon 12 ET! From Transactions to Contextual Engagement http://on.fb.me/17RNZgJ #custserv#bigdata
Retweeted by jameskobielus
Advanced visualization? Designers should consider core perceptual principles (http://lnkd.in/d5EREV ) Monday #IBMquick-hit
Advanced visualization? Designers should consider core perceptual principles: http://lnkd.in/d5EREV
I often hold my breath when reading mass media discussions of complex tech markets. Reporters, unlike analysts, rarely grasp key nuances.
WSJ article on #Hadoopoffers erroneous view of market, implying startups are the only ones to commercialize it & ignoring value-added tools
RT @kexpplaylist#kexp Man Next Door by Massive Attack from Mezzanine JK--Creepy-crawly reggae riddim shot thru with 6 volts of electronica
"Big Data by itself is not useful... Thoughts?" (http://ow.ly/o2kU3 ) JK--Thoughts by themselves are not useful...#BigData?
RT @kexpplaylist#kexp Kung Fu Reference by Ass Ponys from Lohio JK--2001. I always thought this calld "If You Ever Gave a Damn 4 Sonny Jim"
"MSFT warns XP users risk 'zero day forevr'" (http://ow.ly/o2jSk ) JK--So what. I havnt upd malware sgnaturs on XP in 8+ yrs. Sofarsogood
"The Many Internet-Video Options for TVs" (http://ow.ly/o2jJ2 ) JK--I'll explore these...eventually. I'm not an early-adopter viewer.