Nice thing about offering certain people a chance to contrib to #IBMDataMagis that it gives me the opportunity to let em know I'm their fan
Catch me speak @ Collaborate, Vegas, this Tues "#IBM Data Warehousing: Modern Ecosystems Designed 4 #BigDataAnalytics"#oaug#C14LV#ibmblu
My only tech-related tweets today were of the things I'd personally authored. Not a lot of interesting stuff in my reading today. Yawn!
New #IBM jk blogpost: "#IBM#bigdataroundtable: The transformative power of big data" (http://ow.ly/vscEU )
Akella: Attribution modeling. With 360-view & multi-screen M&E experience, "how do you know what people are responding to?"#bigdatabytes.
Akella: "Statistical munging can make for pretty good privacy while giving [consumers] what they want."#bigdatabytes
Akella: Mobility changes things. "Do people like diff types of things [media & entertainment] in big screen or small screen?"#bigdatabytes
Ram Akella, prof IS & Tech Mgmt, UC-Santa Cruz discussing converge o #bigdata, #datascience, & economics in online advertising #bigdatabytes
@graemeknows leading the video panel on #bigdatabytes. Never mind the tech difficulties. Graeme can work miracles. It'll happen!
Waiting for #bigdatabytesto start. Live videochat "Zooming In: Seeing True Value of Audiences .” Watch http://ibm.co/BDBytes
I try not to follow tweeters whose only tweets are simply announcements that their "daily is out." I'd prefer those dailies stay in closet.
RT @kexpplaylist#kexp Dead Is Dead by Terry Lee Hale from Sub Pop 200 JK--1988. Acoustic piece slightly predates early Seattle grunge scene
Whew! Drafted all 5 nxt-wk qhs. Even quoted something I blogged 9 years ago at length (http://ow.ly/vqx6F ), updated 4 IoT. Still applies
This wk #IBM q-hs: http://ow.ly/vqbcf http://ow.ly/vqbgX http://ow.ly/vqbi1 http://ow.ly/vqbiY http://ow.ly/vqbjP
Letterman retiring. Love his quip: "What this means now is that Paul and I can be married."
I have no opinion on the Dems' DC mayoral nominee. But I do know I like saying "Bowser." Wasn't that the lead singer of Sha Na Na?
Streaming vid playback of today's #IBM#BigDataRoundtable that I moderated: http://ow.ly/vpe8j . Thanks to all panelists & participants!
When I glance at text, I look for headers, lists, tables, &/or parallel constructions: clues to author thought INner STRUCTure. In-STRUCT me
"#BigDatashowdown: Cassandra vs. HBase" (http://ow.ly/vp9Dr ) JK--Good comparison, but not a "showdown." Each has distinct use cases.
"Get inside data scientists' minds through touchy-feely talk sessions" (http://ow.ly/vp9lo ) JK--OK, but keep your hands to yourself.
"Teaching an Old Log New Tricks w/ Machine Learning" (http://ow.ly/vp99v ) JK--Good piece from Accenture. Wish I'd thought of that title
"No one thought about it in America : parasite that uses yr body as personal feeding ground." Huh? We DO understand the concept of parasites
Redirecting...if you are not automatically redirected, please power off your devices and redirect yourself to some place outdoors. Breathe!
If you accept that data scientist is sexiest job around, what do you ask a job candidate that won't get you sent to sensitivity training?
Whew! Glad that's done. Finished moder8ng hourlong #IBM video spreecast on transformativ #bigdata. Waited till last 5 mins to insert own POV
Usual day: trying 2 sustain distractible focus on 1 topic @ time in order 2 draft 1 crystal POV after another on shifting mix o complex crap
Prediction markets? Fostering open marketplaces for models and modelers p1: http://ow.ly/vnQmr p2: http://ow.ly/vnQoG Thurs #IBM q-h
A8: Look for diverse thinkers & ppl willing to try something new – but who have a sense of pragmatism #bigdatamgmt
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RT @mt_marko A8 Think big, start small and try to produce value at early stages. Don't be afraid of failures, retry. #bigdatamgmt
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A8: Hire a scientist who is versed in research methods for #bigdata team. #bigdatamgmt
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A8: #bigdatamgmtEstablish #bigdatacenter of excellence to drive ongoing cross-org team recruitment, training, & skills/knowledge sharing
A8: #bigdatamgmtBuild a #bigdatateam that is prepared to productionize all of their work 24x7 in biz operations with stringent SLAs.
A8: #bigdatamgmt#BigDatacontinues to evolve in every direction. Make sure your teaming strategy is agile over time to keep up.
A7: outsource first then aum for mid-term independence: deploy in house big data #IaaS within 5 years #bigdatamgmt
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A7: Domain expertise is tough to outsource. Adequate business context is always a challenge for consultants. #BigDataMgmt
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A7: #bigdatamgmtIf outsourcing because need to address surge requirements, don't do permanent hires if you don't expect the surge to last
A7: #bigdatamgmtIf new to #bigdata& need 2 bootstrap own capabs, outsource core tech/dev functions but with plan to in-source over time
A7: #bigdatamgmtKey consideration: DON'T outsource core #bigdataprogram mgmt or domain expertise. Retain those 4 biz align & execution
There are at least 12 new "Chief" roles being evangelized today. @jameskobielus: A6: #bigdatamgmtThe words between "chief"& "officer".
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A6: #bigdatamgmtI think "Chief Analytics Officer" gets to heart o what so-called #CDO manages, per what drives differentiated outcomes.
@BlairReeves#bigdatamgmtNo. Function might B shared across entire enterprise (e.g., multichannel engagemt), in which case serves many LOBs
A6: #bigdatamgmtThe word between "chief"& "officer" could be the resource, entity, or outcome managed. I think "data" too limiting.
A6: #bigdatamgmtU need C-level champion of data/anaytics driving biz outcomes. Doesnt matter what that job's called: #CDO#CIO etc
A5: Someone who ustands #analyticsin all its glory (stats, machine learning) might be a good leader for a #bigdata team #bigdatamgmt
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A5: #bigdatamgmtIf, say, doing social sent analysis, biz lead is CMO, dev lead maybe data-scis, deploy lead by #Hadoopet al specialists
A5: #bigdatamgmtC-level should lead with vision, charter, & funding. IT proj mgmt pros should lead team recruitment, training, & tasking
A4: #bigdatamgmtI'd NOT include someone if they DON'T have DevOps orientation, or a needed IT specialty, or biz domain knowledge.
A4: #bigdatamgmtI'd built a team where everybody has a common DevOps orientation, includes chief tech specialties, & has domain experts.
A4: #bigdatamgmtWouldn't ostracize "types of people" from team. But would look for candidates well-versed in the techs & the apps
A3: In digital analytics, I’ve seen a hub-and-spoke model have the best results #bigdatamgmt
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A3: Center of Excellence
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A3: #bigdatamgmtIf each line-of-business has distinct #bigdataplats/apps/requirements, may make sense to distribute teams among LOBs
A3: #bigdatamgmtIf you have a multi-zone arch, U may need distinct teams managing in-memory marts, RDBMS EDWs, & #Hadoop landing zones
A3: #bigdatamgmt#Bigdatateam should be confined to small locked room at all times. Or not. Align team(s) w/key #bigdataplats/apps/domain
A2: For a #bigdatateam, you’ll need a program owner, technical experts, business analysts, and project manager. #bigdatamgmt
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A2:Evangelist who drives the change in your org to became data driven org is essential #bigdatamgmt
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A2: #bigdatamgmtWhere data integration skills are concerned, need emphases on unstructured ETL, stream computing, and data governance.
A2: #bigdatamgmtWhere stat modelers come in, need data/content mining, predictive modeling, graph modeling, & sentiment analysis
A2: #bigdatamgmtWhere data scientists & app devs are concerned, need blend of statistical modelers, domain experts, and programmers
A2: #bigdatamgmtKey roles on #bigdatateam include data integ specialists, data platform admins, data scientists, & app developers.
A1: #bigdatamgmtWhat you should also identify first is how to grow your team & tech to support #bigdatatarget architecture/vision
A1: #bigdatamgmtWhat U "select" first for your #bigdata proj is biz strategy/use cases to be addressed. Team & tech selected to fit that
A1: #bigdatamgmtOften, org already has "yolk" of #bigdata team "egg": DBAs, stat modelers, etc, plus core of tech plat (eg EDW) to evolve
A1: #bigdatamgmtIt's a chicken-and-egg issue. You don't need to choose one first. As you build your team, you're also assessing techs.
@clivel_98 To oversee "deadwood staff"? How we dehumanize people's jobs says a lot about whether we respect the value they add, or otherwise
Join @analyticshero, @thomasdeutsch, & li'l ol' me for #BigDataMgmtchat on "Building a #BigDataTeam." Today. 12 ET! http://ow.ly/vkDXO
"Defining the Chief Data Officer" (http://ow.ly/vkxHT ) JK--Infographic describes 3 models for CDO organization. #IBMDataMag
"Warm Sun and a Hot Agenda" (http://ow.ly/vkxeN ) JK--Nancy Hensley reports from 2014 IIUG Informix Conference in Miami . #IBMDataMag
"Recapping 2014: Significant Trends for #BigData" (http://ow.ly/vkwQz ) JK--Tom Deutsch on privacy, Xaas, & open source #IBMDataMag
"Taking Swift Action to Migrate and Consolidate Data" (http://ow.ly/vkwvO ) JK--Aartika Sardana on #IBMIIS for SAP Apps. #IBMDataMag
"Igniting the Future of Cognitive Computing" (http://ow.ly/vkw0n ) JK--Alex Philp on #Watsonspatial analysis apps in IoT #IBMDataMag
"Daily Routines o Geniuses" (http://ow.ly/vknkl ) JK--Metrix. Supprtiv othr. Distract- busywrk- socializ-averse. Dont stop on stuck. Walk
"How Rise Of "R" Computer Language Is Bringing Open Source 2 Science" (http://ow.ly/vkn2u ) JK--Every computational scientist will use R
"Japan nuclear disaster could strike in US" (http://ow.ly/vkmbw ) JK--2011. Wha...? @RitaJKing also a nuclear expert? Renaissance woman!
"Probabilistic Models of Cognition" (http://ow.ly/vkl1z ) JK--Regular reasoning in a world riddled with randy randomness
"How Corporate Departments Totally Mishandle #BigData" (http://ow.ly/vkkFf ) JK-- #IBM@JeffJonas on "outdated info-sharing policies"
Not too shabby. Just shabby enough. Life without shabby? Unthinkable!
"Analytics = Manipulation of Data Structure" (http://ow.ly/vkkcj ) JK--Nicely ties data modeling to enterprise architectural modeling
I live in the 'burbs, but I do have an opinion in the DC mayoral race. I'm glad Gray was dumped by Dem voters yesterday. What a turd.
2 years ago today, I was in Austin 4 #IBMnew-employee orient. 32 years ago I'd've gone 2 UT-Austin if UW-Madison hadnt made me better offer
Peta-governance? Where trustworthiness concerned, proof is in data-gov process p1: http://ow.ly/vkcrG http://ow.ly/vkcsv Wed #IBM qh
LinkedIn. The social where people don't socialize. They just connect, check each other out, endorse each other liberally, and pitch resumes.
Breaking news. New debris spotted. Old debris has drifted. Some vaguely disgusting debris surfacing from the deep. We'll keep you posted.
Photogenic/telegenic. Professional words re person whose physical appearance is presentation asset. Avoid saying "beautiful"/"handsome."
"IIC Forms to..." (http://ow.ly/vjjWf ) JK--Mandate includes "building confidence around new and innovative approaches to [IoT] security"
IBM has transformed itself into a Big Data and Analytics powerhouse." More in @_ChrisVersace's Q&A w/ @BobPicciano: http://onforb.es/1llfvMV
Join #IBM chat tomorrow 12-1pm (EDT) on "Building a #BigDataTeam" w/ @analyticshero myself et al http://bit.ly/1jXMchZ Follow #bigdatamgmt
"Cross-industry IoT group pushes for gear that works together" (http://ow.ly/viQ3A ) JK--#IBM, AT&T, Cisco, GE, and Intel
"Review: HBase is massively scalable -- and hugely complex" (http://ow.ly/viPPj ) JK--Good analysis o #Hadoop#bigdataplatform component
When somebody sez somebody a "rock star" these days, not usually referring 2 rock musicians--& few new mega-music-stars anymore are rockers
"#BigData, Synthetic Biology & Space Planes Are Weapons of Future" (http://ow.ly/viNX0 ) JK--About US DoD DARPA's "Big Mechanism" program
"Apache Falcon-Data Governance 4 #Hadoop" (http://ow.ly/viMUl ) JK--Data gov engine auto-gener8s data pipeline workflows in Apache Oozie
"Apache #Mahout, #Hadoop original machine learning proj, is moving on from #MapReduce" (http://ow.ly/viMxw ) JK--Being reworked 4 #Spark
Hey LinkedIn, when suggesting a post for me to read, try not suggesting my own. Point me at something I dont have banging around in my brain
"How #BigDataShapes AT&T's Adv Creative" (http://ow.ly/viKaY ) JK--"It's not complicated" campaign. Appeal isn't: cute kids, cute lady
Hmm...LinkedIn thinks today's my 2-year #IBManniversary. It's actually tomorrow. Not a blue-newbie anymore. I'm deeply blue. (M) Go Blue!
LOL when some1 misspells easy English word w/insertd letters on billboard. Saw "teh" (4 "the"). How, standing there, did installer not see?
"Haboob Clouds #HadoopFuture" (http://ow.ly/viEA8 ) JK--Likens latter to former (Arabic word for dense dust storm).
"From the trenches: 360-degree data science" (http://ow.ly/viDM1 ) JK--VGranville assesses his own data-science site's effectiveness
"Top 10 Capabilities for Exploring Complex Relationships in Data for Scientific Discovery" (http://ow.ly/viDjz ) JK--Gr8 @KirkDBorne blog
New #IBM jk #ITKE column: "Extract maximum insights before you purge your data" (http://ow.ly/vivmz )
Love Esquire's list of things a man should do before he dies. "#85: Get handsomer."
My ideation flow: readings gener8 idea tweets, which are nuclei o specific quick-hits, which spawn blogs, which crystallize my evolving POV
A8: #CXO Go IoT big-time. Truly #digitalcustomer of 2024 will rely far less on handheld gadgets & far more on connected homes, cars, etc.
A8: #CXO Stay gadget-agnostic. Truly #digitalcustomer of 2024 won't use any devices they have in 2014. 100% gadget churn every few years.
A7: #CXO Biz that succeed are those who leverage social 4 engagement, cloud 4 agility, mobile 4 access, & IoT 4 sensing/optimization
A7: #CXO In today's world, the biz imperative is don't fool yourself into thinking old rules apply. New techs disrupt at astonishing speed
A7: #CXO First step is 4 biz 2 develop vision of evolving customer-centric landscape of 2020. Second step is move in that direction ASAP
A6:Arm your staff with mobile #ARapps that identifies C, knows his profile/history/intents & gives advices how to interact with C #cxo
A6: #CXO Biz can empower employees by tailoring channel conversations through embedded VoC, NPS, social influence, & other key analytics.
A6: #CXO Business can empower employees to engage smartly 24x7 by embedding customer analytics into every channel-facing app.
A6: #CXO Businesses can equip employees for customer-driven world by giving them full mobile access to 360-degree cust view at all times.
A5: Allowing customers room to breathe with less digital bombardment..they need to have a good night sleep to make better decisions #cxo
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A5: #CXO Being "too connected to customers" might mean the biz loses sight of need to diversify to other customers.
A5: #CXO In terms of #loyalty, "too connected to customers" might be cust retention rates so high U risk taking 4 granted. Woo them anyway!
A5: #CXO Biz being "too connected to cust" is how might describe creepier aspects o intrusiv mktg enabled by #bigdata. Observe boundaries!
A4. Big Data fills in the gaps by providing closer to 360 degree insights into customer behaviours, than smaller subsets of data. #cxo
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A4: #cxo Bigdata can help glean actionable Attributes at a more granular level leading to more conversions...and retain loyalty
RT @thecxguy A4: Most often, data help us to quantify intuition and validate instincts to convince decision-makers of best course. #cxo
A4: #CXO High-perf, efficient, consolidated customer #bigdataplatform helps you control costs as your multi-channel environment expands
A4: #CXO#BigData is pivot point where all your customer-facing channels converge on a unifying principle: 360-degree 24x7 engagement
A4: #CXO#BigDataprovides the deepening historical record of customer engagements & drives a more nuanced picture of how it should evolve.
A3f: Social media enable us to understand in greater detail the impact our actions are having in real-time #CXO
A3: First have to find the conversations, and then engage customers on their preferred channels. #CXO
A3: #CXO Businesses create sustainable customer engagement by focus on differentiators: price, value, service, community.
A3: #CXO Customers are not "firmly" in the driver's seat. They are influenced by 360-degree brand experience the biz fosters. Dazzle them.
A2. You can build predictive models, to predict customer intention, but so many behavioural variables that can throw things off. #CXO
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A2: #CXO Biz can confidently predict cust actions by recognizing repeated, patterned nature of many behaviors. We're consumers of habit
@editingwhiz A draft is something other than a final published piece.
A2: #CXO Best "get there before" strategy is data-driven cust profile compiled from interaction history & tuned via predictive analytics
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A2: #CXO Biz influences the customer's next action(s). "Getting there before the customer" means anticipating how they'll respond to you
A2: #CXO A business can CONFIDENTLY predict customer next action, but "accurately" (ie, perfectly) is too optimistic. Even customers can't
A1: Biz need 2 be aware that 81% of cust reach out on social networking sites 4 advice b4 purchasing prod < listen there #cxo
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RT @rgmarkey: A1d: Don't be satisfied w/ mere demographics (or, for B2B, "firmographics"). How do they REALLY buy? Speak w/ individuals #CXO
A1g: Don't forget that your salesforce, store employees, call center reps and other front line employees offer tremendous insight #CXO
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A1: #CXOUnderstanding how customers buy TODAY means gathering & analyzing every new day of customer data afresh. Needs change daily
A1: #CXO Really understanding the customer requires depth what they're NOT telling you. What's pent-up in their hearts? They angry at you?
A1: #CXO Any biz hoping to REALLY understand the customer must walk in their shoes. Map their buying journey. Is it rough road? Smoothe it
A1: #CXO Customers buy things. They also DON'T buy things. They can choose to put you out of business. Don't take them for granted.
@IBMbigdata Hi, hello, howdy, hi-dey-hee, & hi-dee-ho. Glad to be among you today tweeting on #CXO about thriving in a customer-driven world
@editingwhiz People draft beer too. Verbs can have many senses.
CountDwn 2 #CXO: Thriving in a customer-driven world w/ @rgmarkey@davemitz y yo http://bit.ly/1jEa3ra CU in 90 minutes! #custserv#cxpa
Drafted latest #IBM#AnalyzingMediacolumn: "Sports Teams Haven't Even Begun to Smack That Ol' Moneyball Right Out of the Park"
Drafted latest #IBM#Dataversitycolumn: "Don't Understaff And Overstretch Your Analytics Development Team"
Drafted new #IBM#InfoWorldcolumn: "Resist the new-age push to an all-in-one database basket"
We sure got a good soaking over the weekend. Walking in my super-saturated yard to investigate any storm damage. Squish squish squish squish
We had a great discussion about #IBMBLU on #Cloud.... did you miss it? Conclusion? DW is perfect for the Cloud: http://bit.ly/1dBm4LC
Healthcare analytics? Using advanced image analytics to spot hidden cancer patterns (http://ow.ly/vd85O ) Monday #IBMquick-hit
It's nice when somebody "like"s one of my Linked posts from months ago. I then re-read to determine whether I still like it.
Ah, th romance of sleet! What I wouldn't give for a wintry mix.Yikes, that's not snow is it? Sorry about tempting U God. Can I take it back?
RT @kexpplaylist Driving Me Mad by Neil Finn from Live at KEXP JK--Totally digging this live-right-now. Finn's still the perfect songster.
RT @kexpplaylist#kexp When The Night Comes Falling From The Sky by Lucius JK--Another great one from this group. Dylan cover, apparently
Read article about London 's skyscraper-construction boom. Saw artist depiction of emerging skyline. I'm impressed. 21st Century world city.
Forced myself to watch new SNL last night. Weak writing & undistinctive cast. Prefer Armisen's Obama to Pharaoh's. I dozed off. Didn't laugh
Where's the damn lamb this month was supposed to go out like? The lamb hasn't shown his head. Not even once. Nothing even remotely lambly!
Lucius "Turn It Around" (http://ow.ly/vamZP ) JK--This gr8 song/video playd @ my fitness club th othr day. I looked around: "#KEXP song?"
I do follow some tweeters who occasionally tweet in languages other than English. But if their % of English tweets falls below 75%, I don't
"7 Things Remarkably Happy People Do Often" (http://ow.ly/vajVH ) JK--Perusing lists like this = gr8 way 2 make yrself remarkably unhappy
Doing my usual mental de-dupe of the tech headlines that these e-newsletters recycle over and over within a 1-2 week "it's still news" cycle
RIP Adm Jeremiah Denton Jr. Incredible bravery. Vid o him blinkin Morse Code 'T-O-R-T-U-R-E' as POW in North Vietnam ...
College athletes can unionize? What are they going to demand at the negotiating table? Allow keg parties to earn credits toward graduation?
ACA signups top key target. But hasn't attained true goals: strangling liberty, tanking economy, & making Obama dictator. Working on those
Speedreading is the best (and fastest) way of identifying well-written material. The structure, analysis, & thesis jump right out at you.
I like current Dilbert story arc about the constant-traveling consultant with the unhealthy lifestyle. Living out of a suitcase is hazardous
Does CNN even cover other news anymore? Crew incapacitated? Seem 2 B autopiloting newscraft into ocean of oversaturated 1-story overkill