Saturday, March 29, 2014

Aweekstweets March 22-28 2014: the week of an early-spring snow

Nice to be home in my basement office. Just enjoying the silence.

Delta's overhead recorded announcement has a speech impediment. By design? That's not an accent. Waiting @ gate @ Atlanta Hartsfield-Jackson

I'm Platinum Medallion. Let me through, let me through. I'm the prince of this realm. Let me through!

"#Hadoop is in the Mind of the Beholder" ( ) JK--Gartner @merv @nheudecker highlight fuzzy boundaries of this "space"

"Data Mining Reveals How Conspiracy Theories Emerge on FB" ( ) jK--Hint: all yr so-called friends conspiring against U

"Master the art of #bigdata job scheduling" ( ) JK--Contrasts it with OLTP job scheduling.

"NSA is burning down the web, but what if we....? ( ) JK--Opinion by David Byrne. Title echoes one of his song titles

"Advanced Methods in Marketing Econometrics" ( ) JK--Truth be told, I struggled with basic econometrics in college.

Nirvana. So, again, remind me which one was the mulatto, which the albino, which the mosquito. Grohl actually resembles a three-toed sloth.

Good day in Costa Mesa on an event with #IBM partner #Systech. All about #BigData & #PureData. Customers were present. Product demo.

New #IBM jk blog: "Rules of thumb for identifying and prioritizing #bigdata applications" ( )

Kind of a nice Southern California morning out there. Hooky is not an option, Jim (I tell myself). Don't Jim don't!!!

New #IBM #AnalyzingMedia jk column: "The Irreducibly Human Center of Streaming Music Algorithmics" ( ) #kexp

Cool. PBS SoCal has Steve Martin & Edie Brickell in concert. One of them is married to Paul Simon. I'm unclear on which it is.

"How open climate data can improve community resilience against climate change" ( ) JK--Or at least build consensus

"Free data science courses from Johns Hopkins, Duke, Stanford" ( ) JK--Thanks to Coursera. MOOC MOOC MOOC sis boom bah!

"4 Core Project Types...For Predictive Analytics" (  ) JK--Classification. Forecasting. Time series. Clustering.

Hey, David Bowie, if you could swim like dolphins could swim, you wouldn't be a hero for any number of days. You'd be a Seaworld attraction.

Doing a quick trip to Costa Mesa CA to speak at an #IBM sales event tomorrow. I'll provide the #bigdata & #Watson portion of the program

Bitcoin. I'll start taking it seriously when I see a non-trivial number of Silicon Valley highrollers invest all their liquid assets in it.

John McAfee. Paranoiacs tend to function within a completely self-centered worldview. Sometimes referred to as narcissism.

"From Artificial and Computational Intelligence to Machine Learning" ( ) JK--Good overview of algorithmic approaches

What say u? > #Analytics & #Hadoop: Friends or foes?  Join #bigdatamgmt convo 2day, 12ET ! #bigdata

How the Watson Challenge spurs the next wave of mobile thinking  #IBMMobile @sltrunzo

IBM wants your ideas for Watson  #IBMMobile @sltrunzo

"10 Simple Rules 4 Reproducible Computational Research" ( ) JK--Excellent guidance for Big Science leveraging #BigData

"Power o Sports Data: Visualizing Passes Btwn NBA Players" ( ) JK--Graph analysis of basketball-passing relationships

Fun fact: ever since Billy Beane showed th way, Major League Baseball has switched to balls whose cores are wadded-up money. Twenties R best

"Review: Cassandra lowers the barriers to #bigdata" ( ) JK--Review of v2.0 of this Apache project.

"Government open data proves a treasure trove for savvy businesses" ( ) JK--Public resource for biz data scientists.

"Facing the new Big Bang: IoT’s ID onslaught" ( ) JK--Good IdM PoV, complements my trust POV ( )

"An Economist’s Guide to Visualizing Data" ( ) JK--Handy downloadable. No--it's more than Econ 101 supply-demand graphs

"How We Decode Visual Information" ( ) JK--Good visualizations of "preattentive attributes used by our working memory"

"How Stephen Wolfram plans to reinvent data science..." ( ) JK--The Wolfram Language ( )

"Open govt: Data of the people, for the people" ( ) JK--Fun fact: Lincoln deleted this tweak from Gettysburg Address

"When to Act on a Correlation & When Not To" ( ) JK--When not to? "If risk of acting and being wrong is extremely high"

"#BigData Analytics Serving Larger Role in Security" ( ) JK--Enabling devel of "top-notch anomaly detection framework"

Catch me today, #BigData Exchange conf, Salamander Resort, Middleburg VA, speaking on bigdata maturity. Former site o Pamela Harriman estate

Need a new word, "metametafication," to describe the postmodern cultural tendency speak of everything in nested layers of ironic airquotes.

Why we need to soften our cynicism when #surveillance promotes #sustainability initiatives  by James Kobielus

New #IBMDataMag jk article: "Saving the Planet" ( )

"Facebook’s DB eng team..." ( ) JK--Open-sourced RocksDB (embeddable, persistent key-value store 4 flash+RAM storage).

I still take as badge of honor when my bosses in analyst world told me they thought my approaches to topics were strange. Think strangely.

"Get the Right Data Scientists Asking the 'Wrong' Questions" ( ) JK--Think askance at tough problems. Think oddly.

"Alan Turing Institute to be set up to research #bigdata" ( ) JK--UK govt appropriated £42m over 5 years for project

"How #BigData Is Transforming Drug Development" ( ) JK--Monitor clinical trials in real-time.

Before long, a "selfie" will be somebody sharing a snapshot of their quantified-self metrics at the present moment. My numbers, y'all!

"How to Track Everything in Your Life Without Going Crazy" ( ) JK--Good dissection of quantified-self practices

"What Can GPFS on #Hadoop Do For You?" ( ) JK--Good in-depth discussion of GPFS vs. HDFS.

"#BigData Means Big Pipes" ( ) JK--Discusses interconnect requirements, plus RAM & storage frontiers.

"The Future Fabric of Data Analysis" ( ) JK--In-depth piece on computational "big science."

"White House launches climate data project" ( ) JK--Pair open government data w/private data, tech, & programs

A8: #cxo #HR role in 2020 will B 2 foster employee culture attuned to deliver top-notch #custexp in multichann mobile global social engagemt

A7: #CXO @IBMbigdata for improving #custexp HR must work with functional teams-not be bouncers/rule-makers but provide legal/other support
 Retweeted by jameskobielus

A7: Be an org champion to amplify the CEO's/org's mission. Play an active role in building CX culture, from hiring thru to retention #CXO
 Retweeted by jameskobielus

A7: HR must integrate with the Ops teams. Communicate the challenges, talk to the floor, know the pulse. Listen, observe, and advise. #CXO
 Retweeted by jameskobielus

A7: #CXO #HR should also ensure that each of the customer-facing LOBs adhere to common #CX employee metrics

A7: #CXO The most fundamental step that #HR can take to impact #custexp improvement is define clear #CX employee performance metrics

A6: Engaged 'ees have confidence that drives credibility and trust. #CXO
 Retweeted by jameskobielus

A6: High employee engagement = ownership and pride. Create #CX play books & best practice to guide further interactions with customers #CXO
 Retweeted by jameskobielus

RT @KirkDBorne: Check out impressive IBM Data Magazine from @IBMBigData (@JamesKobielus, editor):  #BigData #Analytics

A6: #CXO Listening to customers starts with letting them speak their minds & vent. #HR should train employees not to interrupt or pushback

A6: #CXO To improve employee listening skills where customer is concerned, make that a key criterion in hiring, promotions, etc.

A6: #CXO High employee engagement equates to better #custexp only if engagement based on good listening. #HR must assess listening skills

A5: From aggregate positive sentiment data to individual instances of praise, customer feedback is a prime motivator for employees. #cxo
 Retweeted by jameskobielus

A5: #CXO Employee engagement is improved when they get regular personalized customer feedback on their ability to satisfy (or otherwise)

A5: #CXO #HR can regularly summarize customer feedback into #custexp "do's and don'ts" that depts (cust svc, etc) distribute to employees

A5: #CXO #HR should use customer feedback to highlight examples of outstanding #custexp, so that all cust-facing employees know "what works"

A4: An enterprise social platform can integrate collaborative networking & knowledge mgmt #cxo #HR
 Retweeted by jameskobielus

A4 Use of *team* recognition, cross-functional silo-busting org dev methods for #CX success is weak #cxo

A4: Through identifying partnerships bet. key department leads & formalizing key interactions. HR has a unique vantage point across org #CXO
 Retweeted by jameskobielus

A4: #cxo propagating thought leadership media are a great way to tap into peer's expertise..and then incentivizing them
 Retweeted by jameskobielus

A4: Enabled support agents (who can effect change) are happy employees. I'veen centers go from "helping" to "complaint" centers. #CXO

A4: #CXO #HR should highlight #custexp "employees of the month" and record video podcasts where they share their guidance with peers

A4: #CXO #HR should define standard training curriculum in #custexp that all depts must take. Common cross-org frame of reference.

A4: #CXO #HR drives knowledge share/training across cust-facing depts by encourage "centers of excellence" within cust svc/call centers/etc

A3: #cxo When internal #CX promotions are being processed, #HR depts should ensure managers have access to individuals' #CX track records

@tcrawford That's a mistaken assumption.Everything you publish will be scrutinized by anybody anywhere anytime.

A3: #cxo #HR depts should build statistical profile of companies' high-performing #CX profesisonals, compare candidates against that.

A3: #cxo #HR depts should examine candidates' full range of social-media postings to assess professionalism. Flag warning signs

A2: #cxo #HR should ensure that recruitment of customer-facing employees involves drilling into candidates' #CX aptitudes/backgrounds

A2: #cxo Channel-employee training should include periodic refresher training on product, company, & #CX strategies.

A2: #cxo Recruiting, onboarding, training, & incentives are key #HR tools to ensure employee alignmt w/ prod, company, & #CX strategies

A1: When considering #HR & #CX, ensure that the right balance of tech/ empathy/ personal interaction is kept. #CXO
 Retweeted by jameskobielus

A1: #cxo On positive side, do analytics to identify trend impact of loyal/happy channel employees on #custexp.
 Retweeted by jameskobielus

Or those not competent for needed role MT @jameskobielus: A1: #cxo Customer experience negatively impacted by disgruntled employees...
 Retweeted by jameskobielus

68% of customers leave a company because of poor employee attitudes A1: #CXO #HR
 Retweeted by jameskobielus

A1: #cxo Disgruntlement analytics. Look for trends showing sour-channel-employee impacts on #custexp. Remove from channel before too late

A1: #cxo Customer experience negatively impacted by disgruntled employees. #CX & #HR must identify link, mitigate risk.

A1: #cxo Churn is a common concern of #CX & #HR. Those depts should collab on #custexp initiatives looking for neg sentiment driving churn

@IBMbigdata Pleased to be on today's #CXO chat on intersection of #HR and customer experience

How can #HR impact #CustExp? Join me et al on #CXO chat TODAY 12 ET 2 discuss!  w/ @iamlivingston & @BigDataforHR #CX

RT @kexpplaylist #kexp Your Silent Face by New Order from Power, Corruption & Lies JK--Electro-pop that achieves a certain airy majesty

Drafted new #IBM jk blog: "Rules of thumb for identifying and prioritizing #bigdata applications"

#BigData in production? Smoothing workflows necessary 4 production-grade data science ( ) Fri #IBM qh in adv. Travel wk

Social sentiment? Our tweets implicitly encode our personalities ( ) Thurs #IBM q-h in advance. Travel week

Graph analysis? Apache Spark begins to spark .... p1:  p2:  Wed #IBM qh in adv: travel week

Privacy & #bigdata? Dangers of misplaced faith ... p1:  p2:  Tues #IBM qh in adv: travel week

RT @kexpplaylist #kexp Rattlesnake by St. Vincent from St. Vincent JK--2014. Cool jumpy/nervous beat from her latest.

#BigData hardcore use cases? Prioritizing the potentials when so many present themselves ( ) Monday #IBM quick-hit

RT @kexpplaylist #kexp Over You by Roxy Music from Flesh + Blood JK--1980. Surprised I hadn't heard this one before. Gr8! Love Ferry & band

Considering donating my organs. But may take my pianos with me into the afterlife.

WashPost confuses data mining with transactional data processing. You don't need statistical analysis to process payroll, just arithmetic

You can be busy all the time without always being busy of mind. Keep details in lists & other physical ticklers so your thoughts can rest.

Saw "The Prime of Miss Jean Brodie" (1968). Maggie Smith richly deserved her Oscar. Her fascist-loving character resembled Margaret Thatcher

Shawn Colvin "Sunny Came Home" ( ). Classics IV "Sunny" ( ). Caribou "Sun"( )

Saturday, March 22, 2014

Aweekstweets March 15-22 2014: the week I typed these very words you’re reading now…wow!

RT @kexpplaylist #kexp I Can't Stand the Rain by Brian & Tony Gold JK--1997. Excellent reggae-funk hybrid.

Probably going to have dinner tonight at a place that looks like a hybrid of Thai restaurant and sports bar. See how that works out.

Reading collection o Nabokov short stories arranged chronologically starting in his early 20s. Exceptionally concise, contoured observations

"Working class." I've never understood the term. The only people it doesn't include are those who aren't working and don't care to.

Didn't realize this bit of music trivia: Andy Summers of The Police was briefly a member of The Animals in 1968.

So "Prickly City" is conservative. Big whoop. "Doonesbury" is liberal. I don't care. Just make me laugh. If comics don't do that, dump 'em.

US mints its first dome-shaped coin? Is vending-machine compatibility no longer a consideration at the Bureau of Engraving & Printing?

I tweeted my ass off while vacationing in Turkey a few months ago. Erdogan is an idiot if he thinks banning it is consistent with democracy.

Geez, can't believe I'm caught up on developing all my presos thru June. Fortunately, several common themes. I reuse slideware if possible

Watson Mobile Challenge to Usher in New Era of Development  #IBMMobile @momoboston

Everybody who follows me on social media & wants to know if IBM is hiring. Yes, we're always hiring. Please use the usual channels for that

Frenetic multitasking today. Finished the quick-hits & a presentation. Almost forgot lunch. Almost.

New #IBM jk blog: "Plugging a lean, mean #bigdata -analyzing machine into manufacturing" ( )

Apache Tez ( ) JK--Evolves YARN. Generalizes MR to execute a complex DAG (directed acyclic graph) of tasks. Now in v0.3

RT @kexpplaylist #kexp Sympathy For The Devil by Rolling Stones from Beggars Banquet JK--Somebody please explain "troubadours...Bombay" ref

"Using #bigdata 2 ID triple-neg breast, oropharyngeal, & lung cancers" ( ) JK--ML & pattern recog on MR images/biopsies

"#Hadoop Alternative Hydra Re-Spawns as Open Source" ( ) JK--Batch and streaming? Sounds more like a Spark alternative.

"Data’s Treacherous Journey from Screen to Mind" ( ) JK--That app generating social net from email history is way cool

"3 Data-Driven Nuggets From Nate Silver’s New News Site" ( ) JK--Stat anlysis o pres elect, fitness actvty, health news

"9 Types o Data & How Should B Used" ( ) JK--Not sure I agree with trustworthiness ranking, but worth pondering.

"Crime fighting with #bigdata weapons" ( ) JK--Shiver to think how predictive policing can be abused 4 social profiling

"#IBM Seeks Patent on Software that Incorporates Human Emotion" ( ) JK--Digitizing physio inputs 2 determine emotion

Big #BI? #NoSQL's role in decision-support applications ( ) Friday #IBM quick-hit

This video is the best news summary of the vanishing Malaysian airline story ( …)

"Pred Analytics Marketplaces: Viable Solution to Data Scientist Shortage?" ( ) JK--Discusses that + 2 other approaches

"Use Data to Tell the Future: Understanding Machine Learning" ( ) JK--Wired does good overview for general readership.

"8 Ways #BigData & Analytics Will Change Sports" ( ) JK--"Moneyball" is the least of it.

Storage-happy PB-cap suprcomputrs due in '15 ( ) JK--Memory/flash arrays. Wrangler (TACC/UT-Austin) & Comet (SDCC-UCSD)

"Trucking benefits from IoT data but struggles w/worker resistance 2 analytics" ( ) JK--Aversion 2 intrusive monitoring

"#NoSQL and Log Data Jump to Forefront" ( ) JK--Discusses its role in IoT sensor data. Focuses on aviation industry.

"#IBM Launches New Sw & Consulting Svcs to Help Orgs Tackle $3.5 Trillion Lost Annually to Fraud & Financial Crime" ( )

RIP Patrick McGovern. IDG founder & chairman was pivotal figure in development of global IT trade press, analyst, & market research sectors

Very nerve-consuming morning o schedule-rejuggling to fit in a speaking engagement. Collaborate 2014. Apr 7-9. Las Vegas. #BigData Ecosystem

Drafted next #IBMDataMag column: The Hidden Biases that May Cloud Cognitive Computing

Open data? The standards imperative ( ) Thursday #IBM quick-hit #IBMDataMag

Fraudsters can’t hide behind #BigData and a holistic approach to combat the $3.5 trillion challenge  #counterfraud

Imagine Collaborating with #IBM Watson? You Can  #IBMMobile @RitaJKing

"Data Wonks Swap Tips" ( ) JK--"Universal truth"? Unh-uh. Erroneous POV on present. #BigData not new. Knowledge abounds

We wonks are a distinct subculture among the geeks. We communicate via wonkie-talkie. We hang out down at wonkie tonks & wonk the night away

What's the max % of foreign-derived words in a sentence before it is no longer considered "plain English"? Is "Beowulf" plain enough 4 ya?

I wonder if the "chicken from hell" tasted like chicken? How did being raised amid fire & brimstone affect its flavor?

Dialogue from WashPost politician profile: "I'm Al Franken, junior senator from the state of Minnesota, clothed in immense power."

Rewatched "The Heart Is A Lonely Hunter" (1968). Made me look up whatever became of Sondra Locke. Alan Arkin & Stacy Keach, I know.

A8: #bigdatamgmt Also, recognize that some new unstruct data (e.g., social sentiment) may not require industrial-grade governance.

A8: #bigdatamgmt I'd also point to need to keep an eye on your storage budget. Petabytes can cost you a pretty penny if you're not careful

A8: #bigdatamgmt Beyond my pat advice (i.e., "plastics!"), I'd point to need NOT to treat #Hadoop as a "ha-dump" for never-explored data

A7 #bigdatamgmt well #dataintegration as we've discussed to ensure that acquisition isn't a bottleneck, also security, quality, governance
 Retweeted by jameskobielus

 Retweeted by jameskobielus

A7: #bigdatamgmt I'm going to add queryable archiving to key #bigdata success ingredients. Fetch older data you need when you need it

A7: #bigdatamgmt In terms of #dataintegration skills, you need SMEs who can prioritize #bigdata sources by downstream value

A7: #bigdatamgmt In terms of key #dataintegration ingredients for #bigdata success, I'd put strong data discovery/profiling near top

#BigDataMgmt A6: Data flow in #bigData? In 2012, it was more in one direction. #hadoop collected and distilled like refinery.
 Retweeted by jameskobielus

A6 #bigdatamgmt all ways - #Hadoop to EDW, EDW to Hadoop, Hadoop to Hadoop - more repositories = more integration
 Retweeted by jameskobielus

#BigDataMgmt A6: Data flow in #bigData? In 2014, data flow will be interconnected between many platforms/tech #hadoop #EDW #cloud #noSQL
 Retweeted by jameskobielus

A6: #bigdatamgmt You might have many #Hadoop clusters playing diverse roles in a multi-tier data env alongside EDW. Complex data flows.

A6: #bigdatamgmt If use #Hadoop only for landing/staging/ETL, one-way. If also use Hdp as sandbox & archive vis-a-vis EDW, multi-way

@mattbrandwein Yes. I plan to write about that next week.

A5 - and modern #dataintegration tools can push workloads to #hadoop for processing - e.g,.ELT #bigdatamgmt - complimentary, not competitive
 Retweeted by jameskobielus

@IBMbigdata A5 only if you consider having java or cobol 2 also be the same - kidding of course, #hadoop isn't #dataintegration #bigdatamgmt
 Retweeted by jameskobielus

A5: yes, using HDFS, Pig, MR properly in an ELT scenario to support a use case would be a data integration solution #bigdatamgmt
 Retweeted by jameskobielus

A5 - #hadoop distro persists #bigdata, #dataintegration is how it gets there. Complimentary, but clearly not the same! #bigdatamgmt
 Retweeted by jameskobielus

A5: #bigdatamgmt Having a #Hadoop distribution doesn't mean you have a low-latency data integ platform. #StreamComputing addresses that

A5: #bigdatamgmt Having a #Hadoop distro gives you fine platform for implementing some types of data integration (e.g unstr ETL)

A5: #bigdatamgmt Heavens to Betsy, no! Having a #Hadoop distro means you have a storage/analytic plat. But still need data integ plat

A4 #bigdatamgmt they must be integrated into existing apps/processes. best way to do so is leveraging existing #dataintegration technology
 Retweeted by jameskobielus

#bigdatamgmt A4: big data "has" to be integrated into the rest of the BI ecosystem because hadoop on its own can't deliver all the reqmts
 Retweeted by jameskobielus

#BigDataMgmt A4: #Big Data & #Analytics must be an Integrated Platform where ALL #Data types Integrate together seamlessly for success.
 Retweeted by jameskobielus

A4: #bigdatamgmt If each LOB implements its own #bigdata analytic platform, the siloes will be counterproductive for biz as whole

A4: #bigdatamgmt Tiered #bigdata arch of fit-to-purpose plats (RDBMS, #Hadoop, in-mem, #NoSQL, stream cmptg, etc) mitigates silo risk,

A4: #bigdatamgmt If deploy #bigdata tactically for limited uses, you risk siloes. If you deploy with architectural POV, mitigate that risk

A3: With #bigdata we are witnessing a transformation from transactional data capture to stream computing #bigdatamgmt
 Retweeted by jameskobielus

A3: #bigdatamgmt Downstream apps often connect #bigdata at rest & in-motion. Or #Hadoop platform may be connected with #streamcomputing

A3: #bigdatamgmt Many #bigdata projects involve "unstructured ETL," outputting structured data that may be connected to data from RDBMSs

A3: #bigdatamgmt Many #bigdata projects connect into unstructured sources--social, geospatial, etc.--to sentiment, experience analytics

#BigDataMgmt A2: #Data Discovery, Conditioning, etc. dominate the #DataScientist workday. Enhancement to Integration Stacks are critical.
 Retweeted by jameskobielus

A2: #bigdatamgmt Orgs spend an inordinate amount of time trying to find what they already possess. Especially older data.

well said! RT @dsrealtime01: @IBMbigdata #bigdatamgmt A2: ... risk losing it again in a #bigdata swamp if it isn't governed along the way.
 Retweeted by jameskobielus

A2 #bigdatamgmt Depends upon their needs..if it requires integration of tools to capture unstructured sets, it might take a lot of time.
 Retweeted by jameskobielus

A2 - far too little time, and they risk turning #hadoop into Ha-dump - integration & governance helps understand #bigdata - #bigdatamgmt
 Retweeted by jameskobielus

#BigDataMgmt A2: #bigData #dataIntegration soup? Tools will automate and productize just as #ETL did. (con't)
 Retweeted by jameskobielus

A2 - according 2 Forbes, 80% spent finding, integrating data. Don't handcode #bigdata integration- use tools and cut that time! #bigdatamgmt
 Retweeted by jameskobielus

A2: #bigdatamgmt Orgs with powerful data search/profling engines (e.g., Watson) can spend more time analyzing, less time finding

A2: #bigdatamgmt Orgs often spend upward of 75% of their time trying to find/integrate their data. Far less time trying to understand

@jameskobielus data integration should be a powerful part of the DB technology - not left to each developer to implement inefficiently.
 Retweeted by jameskobielus

A1: #bigdatamgmt Data integration is the middleware that makes it possible to manage #bigdata as a unified business resource.

A1:#bigdatamgmt Integration is the core part of accessing/capturing information. then use them for mining insights.
 Retweeted by jameskobielus

A1: in global corborations formed by merging independent companies data is spread all over the EIS and other data sources #BigDataMgmt
 Retweeted by jameskobielus

A1: #bigdatamgmt Without data integration, #bigdata can't be governed in any unified fashion.

A1: #bigdatamgmt Data integration can ensure that #bigdata you consolidate has been transformed, cleansed, & prepped for analysis

A1: #bigdatamgmt To ramp to "3 Vs" scale, may need to acquire data from disparate sources. Hence, #bigdata #dataintegration essential

@IBMbigdata I like to think of myself as an evangelanalyst. Or not.

@IBMbigdata @johnlmyers44 @dcorrigan A pleasure to be in/with such esteem company/companions today on #bigdatamgmt.

RT @IBMAnalytics: In < 2 hrs! #bigdatamgmt chat on “Spelling '#BigData Integration' from enterprise alphabet soup.” 

Join tweetchat "Data Warehousing on the Cloud" #IBMBLU Wed March 26, 11am-12noon ET 

Join tweetchat "Data Warehousing on the Cloud" #IBMBLU Wed March 26, 11am-12noon ET w/ACangiano, LKatsnelson, ARonthal, GHutchison, RAhuja

Privacy and #bigdata? Addressing the tricky contours of in-store privacy p1:  p2:  Wed #IBM q-h

RT @kexpplaylist #kexp Waking Light by Beck from Morning Phase JK--2014. Gr8 new soulful Beck LP. My fave of his since 2005's "Guero."

"Using Analytics to Detect Retail Fraud" ( ) JK--Discusses fraud management challenges & risk mitigation analytics

"Can #bigdata crunching help feed the world?" ( ) JK--Discusses data-generating IoT sensors that cattle have in guts

""Bayes Theorem & Monty Hall Problem" ( ) JK--Problem is finding someone younger than 40 with a clue who Monty Hall was

@TSManiscalco Funding source says nothing about addressable market. Different considerations.

"How Statisticians Could Help Find That Missing Plane" ( ) JK--Article from Nate Silver's new data-journalism site.

I've often wondered if football great Y.A. Tittle got tough kicking butts of dudes who made fun of his name. Like the boy named Sue.

"Nate Silver’s new FiveThirtyEight site launches but can his data-driven journalism find market?" ( ) JK--Niche at best

"Apache Spark-3 Real-World Use Cases" ( ) JK--Discusses experience of Yahoo and other early-adopters.

"#Hadoop Market Forecasted to Reach $50.2 Billion by 2020" ( ) JK--At 58 percent CAGR, says Allied Market Research.

"Please can we have a sensible discussion about "Big Data"?" ( ) JK--Absurd pleading wits-end tone of this makes me LOL

The terms "reactive" & "proactive" are useless. Everybody responds and everybody anticipates. Some connect the two faculties well. Some not.

I'm rather enjoying giving other people a platform for putting their thought leadership out for general consideration. #IBMDataMag

Anger is not becoming. Remember that curled up inside your animus is the declaration "i'm an anus."

I still love my Microsoft Zune, both the media player & the PC software. It's like Windows XP. Robust, trusty, & easy to use. Take that!

Social media can put you in continuous conversation with people from every phase of your life. It can be confusing. What phase are you now?

The next time I fly, I'm going to request an airliner that doesn't let anybody on board, including pilots, go anywhere near the transponder.

Let's review the strategic self-interest of US military assisting Malaysia in search for airliner in eastern hemisphere. Any thoughts?

TV news needs to introduce new slogan: "If it bleeds (and we have a video feed), it leads."

@TonyBaer I think there's an "open spruce" project on the Internet of Trees.

RT @MiaFarrow: Has TV 'news' gone completely crazy  JK--Apparently, missing airliner is Great White Whale of stories

"Curating Big Data Made Simple: Perspectives from Scientific Communities" ( ) JK--"Curating," as in "managing."

"Data Mining & Official Stats: Past, Present and Future" ( ) JK--"White-collar" v. "blue-collar" statisticians?

"Visualizing the Evolution of Rock Music" ( ) JK--Network graph & timeline of inter-artist influence patterns

Ah, root beer! Taste puts me back in summertime at an A&W stand somewhere in the north woods. Can't beat the Proustian sense remembrance!

"A Deep Dive into #IBM’s #BigData Strategy" ( ) JK--SVP speaks with eWeek ( ) #IBMDataMag

"Crossing the Data Chasm" ( ) JK--Video on challenges confronting chief data officers. #IBMDataMag

"Pushing the Limit" ( ) JK--#IBM Redpaper on DB2 very large database capabilities. #IBMDataMag

"Exploring the #NoSQL Family Tree" ( ) JK--Sam Bisbee provides useful infographic. #IBMDataMag

"What Makes In-Memory Computing So Next Generation?" ( ) JK--Nancy Hensley on #IBM DB2 w/ BLU Acceleration #IBMDataMag

"Going Beyond Data Science Toward an Analytics Ecosystem: Part 2" ( ) JK--Ahmed Fattah probing analysis in #IBMDataMag

"The Internet of Trees" ( ) JK--Steve Adler on "an arboreal Internet of Things" for global sustainability. #IBMDataMag

Drafted latest #IBM #AnalyzingMedia column: "The Irreducibly Human Center of Streaming Music Algorithmics."

I love how the words "analytics" & "algorithmics" sound together. Both have a liquid roll and a ticking click.

Internet of Things? Storage and protection of thing data over time ( ) Tuesday #IBM quick-hit

RT @kexpplaylist #kexp Cruel City by Augustines JK--2014. You'll be forgiven for thinking he's singing "come on a cruise ship."

#Datamation video roundtable, "How to Choose a #BigData Solution," that I did last week: 

Drafted new #Dataversity blog: "Gamification's Role in the Sourcing of Brand-Love Data"

Drafted new #IBM blog: "Plugging a lean, mean #bigdata analyzing machine into manufacturing"

A8: #cxo Businesses need to bring the real-time search experience into all their operational apps (OLTP, BI, etc.). Users need answers fast

A8: #cxo Businesses need to leverage the real-time data ingest, processing, and access features of existing #EDW.

A8: #cxo Biz succeed at real-time analytics by acquiring high-performance, low-latency, low-TCO data platforms.

A7: #cxo Real-time #analytics can play into either domain of decision management: decision support (human), decision automation (autom8d)

A7: #cxo Real-time #analytics leverages data in motion. Decision mgt derives insight from correlation of data in-motion & data at-rest

A7 Decision Management is muscle memory. Real Time Analytics is open eyes. #cxo
 Retweeted by jameskobielus

A7: #cxo Decision management requires alignment between decision cycles and data cycles. What needs real-time? What'll be fine with batch?

A7: #cxo Real-time #analytics ensures that every decision benefits from the freshest data/insights possible. Enhances decision mgt.

A6: The reality is all organizations have streaming data sources they can mine for insight. #cxo #analytics
 Retweeted by jameskobielus

A6: #cxo Any org that uses a search engine (their own or third party eg Google) knows full well that next-day response doesn't cut it

A6: #cxo Most orgs know they need near-real-time updates of key data, since many mundane operational matters demand immediate attention

A6: #cxo Real-time decisions are the stuff of every organization's daily life. Who do we talk to, work with, respond to AT THIS MOMENT?

a5. Real time decisions can be trusted when the right questions are being asked...asking the right questions is the hard part #CXO
 Retweeted by jameskobielus

A5: Some decisions req 100% confidence while others need 50% confidence to proceed #cxo
 Retweeted by jameskobielus

A5: #cxo R-T decis (by humans) are where BI & intuition proves value. R-T (by automated sys) thrives on pred analytics & biz rules

A5: #cxo Decisions "in the moment" are no more or less trustworthy than decisions "after long & careful consideration." Judge by outcomes

A4: #cxo In a real-time B2C #CXO environment, orgs must go deeper on data/analytic-driven decision automation & next best action

A4: #cxo In a real-time B2C engagement environment, orgs must tune their mobile apps to truly enable 24x7 access/updates/responses

A4: #cxo With real-time engagement, orgs must monitor whether B2C "alert overload" causing some customers to tune out & not-respond

A4: #cxo In a real-time env, orgs must tweak their customer-alerting intervals to support policy-driven levels of reminder & escalation

A4: #cxo In a customer-defined real-time environment, orgs need to provide self-service customer portal. Empower customers directly.

A3a: Engage w/ customers. Listen to their needs, wants and what works (doesn’t work) for them. #CXO
 Retweeted by jameskobielus

A3: #cxo Orgs can get customer time right by giving ability to self-svc/adjust infor/decision/response intervals.within engagement

A3: #cxo Orgs can get customer time right by IDing customers' decision/action cycles. Monthly, weekly, daily, continuous, adhoc?

A3: #cxo Orgs can get customer time right by developing customer engagemt "journeys" that phase/time each milestone from customer POV

A2: #cxo Right-time may resist real-time: customers may scream "uncle!" if you flood them with all info/updates at the moment they occur

A2: #cxo In engagement, right time is prescription driven by customer preference: when is best (to them) for biz to deliver/notify/etc

A2: #cxo Real-time is descriptive: awareness of event near-simul w/ occurrence. Right-time is prescriptive: may B OK to lag awareness

A1: "customer time" to me is amnt of time customer expects an answer. Could be immediate or days, depending on person & issue. #cxo
 Retweeted by jameskobielus

A1: #cxo If a customer's decision cycle is, say, weekly, and they only check updates on Fridays, real-time updates are unnecessary

A1: #cxo Real-time may be too-fast for customer-time, events flicking by too fast for customer attention/decision.

A1: #cxo "Real-time" means taking place live, now, in present time. "Customer-time" means taking place at customer-convenient time

Happy to giving you all this real-time experience, tweeting on #CXO real-time experience.

Between tweets, I shoveled the driveway. Now I'm back to shoveling the work tasks that are drifting inexorably up to my mind's awnings.

50 mins to #CXO chat: What’s real in real-time #custexp? w/ @s_v_g me et al  #nps #cxm #custserv #analytics

A shotgun secession vote doesn't constitute the legitimate voice of an electorate. Result invalid.

Recomm engines? Analytics grooving with whatever grooves groove you p1:  p2:  Mon #IBM qh #kexp

"#Bigdata: Personal analytics going beyond sports into realms of wealth & life satis" ( ) JK--Davenport on personal IoT

When I worked in downtown Detroit, oftn lunchd at Old Shillelagh. Crusty Irish barkeep annoyed cuz I always ordered Labatt's, never Guinness

"ML applied 2 affective computing (or how 2 teach machine 2 feel)" ( ) JK--With data from immersive multisensory envs

"How Many Data Scientists are out there?" ( ) JK--Gregory Piatetsky sifts thru th slippery stats on titles, hiring, etc

"#Hadoop Alternative Hydra Re-Spawns as Open Source" ( ) JK--Distrib task proc sys supporting streaming & batch ops

"Bayesian Inference – Made Simple" ( ) JK--Nice graphical illustration of difference from frequentist inference.

"Texas Sharpshooter Fallacy" ( ) JK--Well-meaning ways that data scientists falsely attribute patterns to random data

"Great example of root cause analysis" ( ) JK--Application of Monte Carlo statistical analysis 2 find missing airplanes

"The Ideal Data Science Team" ( ) JK--Good discussion enlivened by invocation of Christopher Columbus & Mark Zuckerberg

"Best kept secret re lin & log regress" ( ) JK--Granville: approach produces good-enuff approx sol'ns w/out stat libs

RT @kexpplaylist #kexp Cry to Me by Solomon Burke from Home in Your Heart JK--1962. Nice slice of gospel-inflected soul.

"#IBM Study: CMOs Fusing Int+Ext Data to Drive Financial Success" ( ) JK--Full study findings: 

Oh, Republican leaders are actually proposing ideas on healthcare insurance reform, not just ideological stonewalling.

Waiting 4 LinkedIn hack that asks "Does [friend X] know his/her a** from a hole in the ground?" All of mine definitely do. I'll vouch 4 that

RIP David Brenner. My favorite fill-in "Tonight Show" guest host during the Johnny Carson days. Big nose, nasal voice, snide quips.

I've been listening to Dick Vitale holler for 40+ years, ever since he was Univ of Detroit basketball coach. Amazing he still has a voice

Even rarer than the "man bites dog" story is the "dog eat dog." Canine cannibalism sells papers!!!!

Friend. If the person in question has any motive other than the pure desire to engage with you, they're not a friend. Just a sponge.

Annoyed that Malaysia Airlines getting a bad rap for this. We've flown it before & wouldn't hesitate to do so again. I recall good service.

We've suspended attending Sunday morning yoga class, due to teacher inadequacy. This morning, we did yoga ourselves in another room at club

That "it's gonna snow" smell again. I suspect it's 99 percent my own perspiration anticipating the shoveling I'll have to do.

Picked up bio of Apple designer Jony Ive. Put it down after umpteenth fawning reference to his "brilliance." Silicon Valley puffery.

WashPost used "decry" in 2 headlines today. This must stop! Need to employ a more representative cross-sampling of obscure English verbs

Something fishy about CBS Sunday Morning "Travolta's aging brain" interpretation of "Adele Dazeem." Perhaps he's dyslexic reading cue cards

I can't think of a better way to lose your sense of perspective on the day's events than to watch cable TV news.