Thursday, December 13, 2012

Koby IBM Quick-Hits May 16 to December 13 2012

May 16

Information glut?

May 17

Sexy statistics?

May 18

Experience optimization?

May 21

Social sentiment as valuable market intelligence?

May 22

Smartphones as Big Data analytics platforms?

May 23

All in memory?

May 24

Petabytes in the palm of your hand?

May 25

Recommendation engines?

May 29

Experience optimization? Measure the love.

May 30

Smartphones as Big Data analytics platforms? If history is any precedent, yes.

May 31

Recommendation engines? Only as useful as the "next best model" powering it.

June 1

Hadoop uber-alles?

June 4
Sexy statistics? Machine learning is even sexier!

June 5

All in memory? Trades off volume and variety for the sake of velocity

June 6

Hadoop uber-alles? No, it's actually MapReduce uber-alles.

June 7

Social sentiment as valuable market intelligence? Only if sentiment correlates with buying behavior

June 8

Proofs of concept as core appliance acquisition approach?
June 11

Information glut? Next-gen analytics tools should make mincemeat out of it.

June 12

Proofs of concept as core appliance acquisition approach? Proving business value is a bit trickier.

June 13

Petabytes in the palm of your hand? The vast majority of what you cache will be your quantified life.

June 14

Recommendation engines? Federations of these will drive the interconnected global economy.

June 15

Crowdsourcing Big Data creativity?

June 18

Experience optimization? Optimize big outcomes, don't sweat small stuff.

June 19

Hadoop uber-alles? BI starting to ride the elephant.

June 20

Crowdsourcing Big Data creativity? The social side of data science

June 21

Proofs of concept as core appliance acquisition approach? TCO tough to demonstrate, but possible

June 22

Big Data's optimal deployment model?

June 25

Sexy statistics? Influence scores are dangerously addictive.

June 26

Hadoop uber-alles? Disappointed there's no grand vision for Hadoop evolution

June 27

Smartphones as Big Data analytics platforms? Gadgets are becoming valuable data sources

June 28

Big Data's optimal deployment model? Revisiting the 3-tier topology.

June 29

Frictionless sandboxes?

July 2

All in memory? Don't make RAM a data dumping ground!

July 3

Big Data's optimal deployment model? Whatever it is, virtualize it to a fare-ye-well!

July 4
none: holiday

July 5
none: vacation

July 6
none: vacation

July 9
none: vacation

July 10
none: vacation

July 11

Frictionless sandboxes? Real-world experimentation thrives in an elastic medium.

July 12

Sexy statistics? Big Data "scores" seem oddly misguided.

July 13

Advanced visualization?

July 16

Information glut? Don't kid yourself. You'd never tolerate the other extreme.

July 17

Advanced visualization? What's advanced is every possible visualization, or just one juicy one

July 18

Social sentiment as valuable market intelligence? Less valuable when your competitor has access equivalent to yours

July 19

Hadoop uber-alles? Then there should be a standard industry performance benchmark

July 20

Complex event processing?

July 23


July 24

Advanced visualization? Visual overload kills understanding

July 25

Prediction markets?

July 26

Frictionless sandboxes? Tight governance keeps the analytic sands in the box

July 27

NoSQL = no-disk?

July 30

Meaty metadata?

July 31

Proofs of concept as core appliance acquisition approach? Don't base your decision on splashy ads

August 1

Recommendation engines? Their primary fuel is behavioral analytics

August 2

Decision scientists?

August 3

Speed of thought?

August 6

Peta-governance? Controlling the explosion of Big Data models will prove difficult

August 7

Big Media?

August 8

Prediction markets? Markets won't succeed if offer no better predictions than in-house

August 9

Decision scientists? Game theory perspectives valuable in modeling next best actions

August 10

All in memory? Depends on what you mean by "all"

August 13

Enterprise content warehouse?

August 14

Big Data's optimal deployment model? Federation and its discontents

August 15

Business process optimization?

August 16

Big BI?

August 17

NoSQL = no-disk? Quantum computing in big data's future

August 20

Information glut? You don't need lots of data to do big data

August 21

Hadoop uber-alles? Cluster management tooling must keep up

August 22

Experience optimization? Down deep, it's not a big fancy formula.

August 23

Sexy statistics? Data warehousing simplicity is a surprisingly complex metric

August 24

Complex event processing? Conversation-driven human decisions are the most complex events of all

August 27

Petabytes in the palm of your hand? Advanced analytics apps for the masses

August 28

Big Media? Pattern recognition will drive the show

August 29

Social sentiment as valuable market intelligence? Help us choose the socials where our kindred chatter

August 30

Crowdsourcing Big Data creativity? Data science autodidacts will dominate

August 31

Business process optimization? Close the loop dynamically and continuously
September 3

No quick-hit: holiday

September 4

Workload-optimized systems? Consider workloads across the life cycle

September 5

Proofs of concept as core appliance acquisition approach? Integrated expertise patterns can facilitate POCs

September 6

Workload-optimized systems? Leverage the workload management tools integrated into systems

September 7

Big Data's optimal deployment model? Workload-optimized nodes everywhere

September 10

Peta-governance? Big data archive and sandbox in co-dependent governance relationship

September 11

Big data vision? Agile information management foundation

September 12

Healthcare analytics?

September 13

Big data vision? Every C-level exec has killer apps

September 14

Solution accelerators?

September 17

Simplified big data experience?  User sees business value quicker

September 18

Simplified big data experience?  Developer has integrated tooling

September 19

Simplified big data experience?  Database administrator has automated storage optimization

September 20

Simplified big data experience?  Support personnel have only one throat to choke

September 21

Simplified big data experience?  Procurement has less complex decision

September 24

Meaty metadata? Data scientist productivity depends on it

September 25

Smartphones as Big Data analytics platforms? Leaving digital breadcrumbs everywhere

September 26

Recommendation engines? Monetize your presence as social recommendation generator

September 27

Big BI? Data scientists most valuable on questions unaddressed by packaged models

September 28

Speed of thought? Real time is really relative to your decision/action cycle

October 1

Workload-optimized systems? Patterns of expertise for built-in solution best practices

October 2

Workload-optimized systems? Scale in, out, and up for balanced big-data configurations

October 3

Workload-optimized systems? Built for and building the big-data cloud

October 4

Workload-optimized systems? Clean-slate design for optimal appliance performance

October 5

Workload-optimized systems? Integrated management for maximum administrator productivity

October 8

Simplified big-data experience? Wrapping your mind around it

October 9

Big data's optimal deployment model? Transactions and analytics share common architectural approach

October 10

Big data's optimal deployment model? Development and operations share common infrastructure

October 11

Big data's optimal deployment model? Virtualization spans common infrastructure

October 12

Analytic acceleration in the cloud?

October 15

Enterprise content warehouse? It's your searchable sphere of commercial content

October 16

Advanced visualization? It's immersive

October 17

Prediction markets? They're where data scientists will attain superstar status

October 18

Decision scientists? They're the ones mining the minds of the consumer

October 19

Analytic acceleration in the cloud? It depends on collaboration

October 22

Big-data vision? Whole-population analytics

October 23

Big-data vision? Comprehensive cloud analytics

October 24

Big-data vision? 720-degree customer view

October 25

Big-data vision? Synoptic time view

October 26

Big-data vision? Next best action everywhere

October 29

Service-oriented analytics?

October 30

Modeling automation?

October 31

Engaging customer as individual?

November 1

Context accumulation?

November 2

Machine data analytics?

November 5

Peta-governance? Cloud introduces a wild card into big-data governance

November 6

Speech analytics?

November 7


November 8

Decision scientists? Experience analytics drives empathetic situational engagement

November 9

Healthcare analytics? Saving lives in real time

November 12

Smart big-data consolidation? Continually rebalancing architecture

November 13

Smart big-data consolidation? Pervasively parallel processing

November 14

Smart big-data consolidation? Specialized fit-for-purpose nodes

November 15

Smart big-data consolidation? Intelligently optimized storage

November 16

Smart big-data consolidation? In-database analytic & transactional application execution

November 19

Smart big-data consolidation? Agile data virtualization

November 20

Smart big-data consolidation? Performance optimization

November 21

Smart big-data consolidation? Comprehensive governance

November 22
none: holiday

November 23
none: holiday

November 26

Small data? Keep it cheap

November 27

Small data? Keep it compact

November 28

Small data? Keep it consolidated

November 29

Small data? Keep it consumable

November 30

Small data? Keep it controlled

December 3

Information glut? Collaborative analytics distills it

December 4

Hadoop uber-alles? Storage alternatives proliferate

December 5

Recommendation engines? Accountability for recommendations can grow blurry

December 6

Big BI? Self-service data science

December 7

Prescriptive analytics?

December 10

Predictive enterprise?

December 11

Transactional analytics?

December 12

Big identity?

December 13

Smarter planet?