Scrutinizing the Inscrutability of Deep Learning
Homebrewed Deep Learning and Do-It-Yourself Robotics
Composing Deep-Learning Microservices for the Hybrid Internet of Things
Fundamentals for sure-fire cloud data warehouse optimization: An interview with James Kobielus
5 reasons to attend InterConnect 2017
Cooperative Trust Among Neural Networks Drives Deeper Learning
Don’t let Agile methods undermine data science
Will Data Scientists Automate Themselves Out of Jobs?
6 predictions for the future of deep learning
InterConnect will connect you with unstructured content governance
James Kobielus, IBM - IBM Machine Learning Launch - #IBMML - #theCUBE
https://www.youtube.com/watch?v=L8aqC1pVjOM&feature=youtu.be&list=PLenh213llmca-QogcjfSW9RHPtNye9N_p
Machine learning beyond data scientists: the self-serve model emerges | #IBMML
Machine learning enriches the private cloud
InterConnect will connect you with NoSQL Polyglot Persistence
InterConnect: Connecting you with collaborative data science, data engineering, and data app development
Machine learning in hybrid transaction/analytics processing
http://www.ibmbigdatahub.com/podcast/machine-learning-hybrid-transactionanalytics-processing
http://www.ibmbigdatahub.com/podcast/machine-learning-hybrid-transactionanalytics-processing
How Spark Illuminates Deep Learning
Data science transformation through Spark on hybrid cloud
http://www.ibmbigdatahub.com/podcast/data-science-transformation-through-spark-hybrid-cloud
http://www.ibmbigdatahub.com/podcast/data-science-transformation-through-spark-hybrid-cloud
Machine learning in the evolution of data science
Machine learning in the private cloud
Internet of Things: Setting business vision on speed and agility
http://www.ibmbigdatahub.com/blog/internet-things-setting-business-vision-speed-and-agility
http://ibm.co/2kuhVhK
http://www.ibmbigdatahub.com/blog/internet-things-setting-business-vision-speed-and-agility
http://ibm.co/2kuhVhK
Feature hashing for scalable machine learning
http://www.ibmbigdatahub.com/podcast/feature-hashing-scalable-machine-learning
http://www.ibmbigdatahub.com/podcast/feature-hashing-scalable-machine-learning
Going beyond collaboration to achieve data-driven success
Machine Learning and Statistical Algorithms: Training With Everything We’ve Got
Neuromorphic chipsets are shifting deep learning into overdrive
'Transfer learning' jump-starts new AI projects
Resisting the Urge to Uncritically Accept Deep Learning Hype in 2017
Predictions for Deep Learning in 2017
How We Will Harvest Cognition in 2017
Maximizing the value of high-performance statistical analysis and reporting
http://ibm.co/2hwn6PU
http://ibm.co/2hwn6PU
Gauging your organization’s readiness to drive digital disruption
http://www.ibmbigdatahub.com/blog/gauging-your-organization-s-readiness-drive-digital-disruption
http://www.ibmbigdatahub.com/blog/gauging-your-organization-s-readiness-drive-digital-disruption
Big Data: Main Developments in 2016 and Key Trends in 2017
Kobielus Predictions for Data Science in 2017
Big data and analytics trends in 2017: James Kobielus’s predictions
How cognitive computing will touch your life in 2017
How the backlash against cognitive computing will play out in 2017
http://itknowledgeexchange.techtarget.com/IT-watch-blog/backlash-cognitive-computing-will-play-2017/
Data industry experts offer 2017 predictions throughout December
Tackling predictive uncertainty with Monte Carlo statistical analysis
The Experience of Being a High-Performing Data Scientist
Data science expert interview: Steve Ardire and Joe Caserta
http://www.ibmbigdatahub.com/podcast/data-science-expert-interview-steve-ardire-and-joe-caserta
http://www.ibmbigdatahub.com/podcast/data-science-expert-interview-steve-ardire-and-joe-caserta
Moving beyond spreadsheets into enterprise-ready statistical analysis
http://www.ibmbigdatahub.com/blog/moving-beyond-spreadsheets-enterprise-ready-statistical-analysis
http://www.ibmbigdatahub.com/blog/moving-beyond-spreadsheets-enterprise-ready-statistical-analysis
Data science expert interview: Dez Blanchfield, Craig Brown, David Mathison, Jennifer Shin and Mike Tamir
The Controversy over Algorithmic Newscycle Curation
Accessing the power of R through a robust statistical analysis tool
Coming to Grips with Artificial Intelligence’s Many Manifestations
Deep learning is already altering your reality
Embodying Every Last Thing With Cognition
Accelerating deep learning to superhuman proportions
Making a better world with cognitive systems: Wrapping up World of Watson
The cognition blitz at World of Watson 2016
A deeper shade of simplicity at IBM Insight at World of Watson 2016
Disrupting business with team data science at IBM Insight at World of Watson 2016
Keeping a clear mind about the potential downsides of AI
Center your business strategy on predictive analytics at IBM Insight at World of Watson 2016
http://www.ibmbigdatahub.com/blog/center-your-business-strategy-predictive-analytics-ibm-insight-world-watson-2016
http://ibm.co/2dYT3xG
http://www.ibmbigdatahub.com/blog/center-your-business-strategy-predictive-analytics-ibm-insight-world-watson-2016
http://ibm.co/2dYT3xG
Enabling chief data officer success at IBM Insight at World of Watson 2016
Building a cognitive business at IBM Insight at World of Watson 2016
Putting data to work at Strata + Hadoop World 2016
Chief takeaways from the IBM DataFirst Launch Event
http://www.ibmbigdatahub.com/blog/chief-takeaways-ibm-datafirst-launch-event
http://ibm.co/2dasPuu
http://www.ibmbigdatahub.com/blog/chief-takeaways-ibm-datafirst-launch-event
http://ibm.co/2dasPuu
Simplifying the deployment of data-driven business innovations
http://www.ibmbigdatahub.com/blog/simplifying-deployment-data-driven-business-innovations
http://ibm.co/2didiXr
http://www.ibmbigdatahub.com/blog/simplifying-deployment-data-driven-business-innovations
http://ibm.co/2didiXr
5 reasons data engineers are attending IBM Insight at World of Watson
Fresh Blood: The Democratization of Enterprise Data Science
Driving Data Science Productivity Without Compromising Quality
Instilling Industrial Discipline in Enterprise Analytics
Next-generation data science: Open analytics ecosystems
Data science expert interview: Influencer roundtable
Next-generation data science: Acceleration for team productivity
Data science predicts election winner!
Doing the Data Science That Drives Predictive Personalization
Collaborate to foster cognitive disruption
The Acceleration of Data Science Excellence
5 reasons data scientists are attending World of Watson
http://www.ibmbigdatahub.com/blog/5-reasons-data-scientists-are-attending-world-watson
http://ibm.co/2cEWruV
http://www.ibmbigdatahub.com/blog/5-reasons-data-scientists-are-attending-world-watson
http://ibm.co/2cEWruV
Getting the right mix of analytics specialists in data science teams
Know when your big data is telling big lies
Grappling with first-world problems and data-fueled disruptions
The Social Analytics of What Passes for Political Conversation These Days
Using Cognitive Computing to Prevent Human Cognitive Decline
Next-generation data scientist: Harnessing an integrated development environment
http://www.ibmbigdatahub.com/blog/next-generation-data-scientist-harnessing-integrated-development-environment
http://ibm.co/2ap3tHF
http://www.ibmbigdatahub.com/blog/next-generation-data-scientist-harnessing-integrated-development-environment
http://ibm.co/2ap3tHF
Doing the Data Science That Drives Extreme Personalization
Federating Unfettered Analytics Across IoT’s Sprawl
Surmounting huge hurdles to algorithmic accountability
Big Brother, Crowd Control, and Pokémon Go
The Emotional Arc of Data Storytelling
Cognitive Chatbots in the Patterns of Our Lives
Encroaching Commoditization in Data Science
Pushing Data-Science Automation To Its Practical Limits
Drilling and Building: The Power Apps of Machine Learning
Accentuating the positive vision of cognitive computing’s potential
Big Data Tells Many Stories, Some of Them Spurious
Advancing the art of the cognitive chatbot
Deep Learning and the Deep Warping of the Photographic Record
Making Your Data Progressively Smarter
Eliciting high-quality data science from non-traditional sources
Data science expert interview: Nick Pentreath: http://www.ibmbigdatahub.com/video/data-science-expert-interview-nick-pentreath
Data science expert interview: Imran Younus: http://www.ibmbigdatahub.com/video/data-science-expert-interview-imran-younus
Data science expert interview: Holden Karau: http://www.ibmbigdatahub.com/video/data-science-expert-interview-holden-karau
Data science expert interview: Jennifer Shin: http://www.ibmbigdatahub.com/video/data-science-expert-interview-jennifer-shin
Data science expert interview: Dave Saranchak: http://www.ibmbigdatahub.com/video/data-science-expert-interview-dave-saranchak
Data science expert interview: Chris Maddern: http://www.ibmbigdatahub.com/video/data-science-expert-interview-chris-maddern
Data science expert interview: Joe Caserta: http://www.ibmbigdatahub.com/video/data-science-expert-interview-joe-caserta
Data science expert interview: Bob Hayes: http://www.ibmbigdatahub.com/video/data-science-expert-interview-bob-hayes
Data science expert interview: Andrew Oliver: http://www.ibmbigdatahub.com/video/data-science-expert-interview-andrew-oliver
How can data scientists collaborate to build better business applications?
http://www.ibmbigdatahub.com/blog/how-can-data-scientists-collaborate-build-better-business-applications
http://ibm.co/1XeovbM
http://www.ibmbigdatahub.com/blog/how-can-data-scientists-collaborate-build-better-business-applications
http://ibm.co/1XeovbM
Highlights from the Apache Spark Maker Community Event
http://www.ibmbigdatahub.com/blog/highlights-apache-spark-maker-community-event
http://ibm.co/1TYQhc0
http://ibm.co/1TYQhc0
Experiencing deeper productivity in open data science
http://www.ibmbigdatahub.com/blog/experiencing-deeper-productivity-open-data-science
http://ibm.co/1Xygn6Y
http://www.ibmbigdatahub.com/blog/experiencing-deeper-productivity-open-data-science
http://ibm.co/1Xygn6Y
The Rise of Open Data Science. Join Us June 6th
Open Data Science Innovation in the Cloud
What is Business Intelligence?
Don’t Fence Me In: Tensions on the Data Science Frontier
Innovative business applications: The disruptive potential of open data science
http://www.ibmbigdatahub.com/blog/innovative-business-applications-disruptive-potential-open-data-science
http://ibm.co/1Ur1Fu4
http://www.ibmbigdatahub.com/blog/innovative-business-applications-disruptive-potential-open-data-science
http://ibm.co/1Ur1Fu4
Boosting the productivity of the next-generation data scientist
http://www.ibmbigdatahub.com/blog/boosting-productivity-next-generation-data-scientist
http://ibm.co/1TwTD0o
http://www.ibmbigdatahub.com/blog/boosting-productivity-next-generation-data-scientist
http://ibm.co/1TwTD0o
Bridging to a hybrid cloud data services architecture
http://www.ibmbigdatahub.com/presentation/bridging-hybrid-cloud-data-services-architecture
http://ibm.co/1U9vUW9
http://ibm.co/1U9vUW9
It takes a team: Collaboration and workflow in open data science
http://www.ibmbigdatahub.com/blog/it-takes-team-collaboration-and-workflow-open-data-science
http://ibm.co/1Ox1z4R
http://www.ibmbigdatahub.com/blog/it-takes-team-collaboration-and-workflow-open-data-science
http://ibm.co/1Ox1z4R
Vetting the Actual Science Behind Data Science
Bridging NoSQL databases into open data science initiatives
http://www.ibmbigdatahub.com/blog/bridging-nosql-databases-open-data-science-initiatives
http://ibm.co/1T3RclB
http://www.ibmbigdatahub.com/blog/bridging-nosql-databases-open-data-science-initiatives
http://ibm.co/1T3RclB
Spark and R: The deepening open analytics stack
http://www.ibmbigdatahub.com/blog/spark-and-r-deepening-open-analytics-stack
http://ibm.co/1qb4mVZ
http://www.ibmbigdatahub.com/blog/spark-and-r-deepening-open-analytics-stack
http://ibm.co/1qb4mVZ
How to monetize the fuzzy narratives of social listening
Giving citizen data scientists a short leash
Distributing Machine Intelligence to the Foggy Edge of the IoT
Bridging Spark analytics to cloud data services
http://www.ibmbigdatahub.com/blog/bridging-spark-analytics-cloud-data-services
http://ibm.co/1XL6q2n
http://www.ibmbigdatahub.com/blog/bridging-spark-analytics-cloud-data-services
http://ibm.co/1XL6q2n
On Big Data and Data Science. Interview with James Kobielus
3 safeguards for intelligent machines
Merrymaking vs. Mischief: Beating Machine-Learning Algorithms At Their Own Game
Precipitating money from the edges of the Internet of Things
Learning and laughter: Open analytics takeaways from Strata + Hadoop World
http://www.ibmbigdatahub.com/blog/learning-and-laughter-open-analytics-takeaways-strata-hadoop-world
http://ibm.co/1VqiYgj
http://www.ibmbigdatahub.com/blog/learning-and-laughter-open-analytics-takeaways-strata-hadoop-world
http://ibm.co/1VqiYgj
Achieving new milestones in open analytics
http://www.ibmbigdatahub.com/blog/achieving-new-milestones-open-analytics
http://ibm.co/1M3XyUI
http://www.ibmbigdatahub.com/blog/achieving-new-milestones-open-analytics
http://ibm.co/1M3XyUI
Algorithmically Detecting Cyberattack Patterns in the Absence of Open Training Data
Pattern Curators of the Cognitive Era
Using Machine Learning to Ward Off Zero-Day Attacks on the Internet of Things
Allaying Anxieties Surrounding the Potential of Artificial Intelligence
Can We Use Social Listening as a Virtual Breathalyzer?
Communications Connection: Is big data still relevant?
Real Time Isn’t As Real As You’ve Been Led to Believe
Mining and Divining The Mysteries Of The Mind
Open Source Analytics Penetrating Deeper into the Internet of Things
Surprise in the Narrative Flow of Data Science
How Cognitive Computing Can Boost Educational Performance
From Creation to Gustation: How Modern Foodchains Crave Precision Analytics
The Bubble Edens of IoT Mood Management
The Sitting-Duck Machine-Learning Model
A More Brilliant Fog: Containerizing Algorithmic Services at the IoT’s Edges
Interview with James Kobielus, Big Data Evangelist, IBM
The Anti-Bias Bias of the Data Scientist
Empathetic vs. Pathetic: Living With Affective Computing
Graph analysis: Not the dots, but the connections
Survival of Fitness: How Model Selection Happens In The Natural Order of Data Science
Morphing Targets and Fancy Math
The Merry Melodious Milling of Machine-Learning Music
Statistically Slicing Through the Knotty Tangle of Human Morality
The Evenly Matched Global AI Arms Race
The robotic throttling of information overload
Open for Data: Takeaways from IBM InterConnect 2016
http://www.ibmbigdatahub.com/blog/open-data-takeaways-ibm-interconnect-2016
http://ibm.co/1n0dE5k
http://www.ibmbigdatahub.com/blog/open-data-takeaways-ibm-interconnect-2016
http://ibm.co/1n0dE5k
Expanding the open analytics ecosystem
http://www.ibmbigdatahub.com/blog/expanding-open-analytics-ecosystem
http://ibm.co/1QdLtbF
http://www.ibmbigdatahub.com/blog/expanding-open-analytics-ecosystem
http://ibm.co/1QdLtbF
5 perspectives on the disruptive potential of open source analytics
http://www.ibmbigdatahub.com/blog/5-perspectives-disruptive-potential-open-source-analytics
http://ibm.co/1L71iDW
http://www.ibmbigdatahub.com/blog/5-perspectives-disruptive-potential-open-source-analytics
http://ibm.co/1L71iDW
Emotion Analytics and the Algorithmic Parsing of the C-Suite Poker Face
Statistically Crunching a Crowdsourced Image of the World in Flux
Paths, Patterns, and Lakes: The Shapes of Data to Come
Cognitive Coaching: The Algorithmic Acceleration of Human Learning
Quarks: Embedding Open Cognitive Analytics at the Edge of the Internet of Things
http://www.spark.tc/quarks-embedding-open-cognitive-analytics-at-the-edge-of-the-internet-of-things/
Deploying analytics microservices in the cloud
Optimizing the Physical Fitness of The Community At Large
Becoming cognitive: a new disruptor remakes the business landscape
http://www.ibmbigdatahub.com/blog/becoming-cognitive-new-disruptor-cognitive-computing-reorders-business-landscape
http://ibm.co/1RtvR8j
http://ibm.co/1RtvR8j
Dredging the Data Lake Down to Its Muddy Bottom
What’s the Threshold at Which Big Data May Be Considered Mainstream?
Crowdsourcing Verbal Context for Deep Visual Analysis
Controlling the Weaponization of Deep Learning
Pondering The Prophesied Master Learning Algorithm
Machine learning models need love, too
The Rashomon Effect in Algorithmic IoT Memory Capture
The Deeply Embedded Future of Deep Learning
You Wouldn’t Know Humor If It Bit You in the Algorithm!
Digital Placebo: The Psychosomatic Impacts of Quantified Self
The Internet of Things will eliminate data deadzones
Building smart business on the four pillars of predictive analytics
http://www.ibmbigdatahub.com/blog/building-smart-business-four-pillars-predictive-analytics
http://ibm.co/1PY2AgN
http://www.ibmbigdatahub.com/blog/building-smart-business-four-pillars-predictive-analytics
http://ibm.co/1PY2AgN
Citizen Data Scientists in the New Global Order
The Bottomless Log of Everything
The Remorseless Recrystallization of the Open Source Analytics Ecosystem
Debating the hot topics in weather data analytics
http://www.ibmbigdatahub.com/blog/debating-hot-topics-weather-data-analytics
http://ibm.co/1Owlxcr
http://www.ibmbigdatahub.com/blog/debating-hot-topics-weather-data-analytics
http://ibm.co/1Owlxcr
Fitting Data Science Methodologies to the Complex Contours of the Internet of Things
2020 vision: The triumph of cognitive IoT
Deep Learning: The External Contextualization Engine Behind The Self-Driving Car
I’ve Got This Down to a Data Science
How Many Crowdsourced Experts Can Compute on the Head of a Problem?
Internet of Things and the Principles of Personal Data Exploitation
Inflecting and Genuflecting Toward Yet Another Analytic Industry Turning Point
The Swarming Nano-Agents of Algorithmic Cognition
https://www.linkedin.com/pulse/swarming-nano-agents-algorithmic-cognition-james-kobielus?published=t
Extracting business value from the 4 V's of big data
http://www.ibmbigdatahub.com/infographic/extracting-business-value-4-vs-big-data
http://ibm.co/1l08JAn
http://www.ibmbigdatahub.com/infographic/extracting-business-value-4-vs-big-data
http://ibm.co/1l08JAn
Cognitive Computing and the Emerging Ecosystem of Algorithmic Savants
Fluid Is as Fluid Does: Automating the Machine-Learning Pipeline
Cognitive analytics: What's coming in 2016?
http://www.ibmbigdatahub.com/presentation/cognitive-analytics-whats-coming-2016
http://ibm.co/1RdwS4E
http://www.ibmbigdatahub.com/presentation/cognitive-analytics-whats-coming-2016
http://ibm.co/1RdwS4E
Stuff You May or May Not Do With Whatever Data You May or May Not Possess
From REST to Restless: The Probabilistic Fabric of Cognitive Integration
The Sisyphean Challenge of Content Curation in a Big Data Universe
Top Trends to Watch in Cognitive Analytics in 2016
Deploying Analytic Microservices In The Internet Of Things
Prediction 2016: Cognition comes to all things
Zeitgeists, wind gusts and the analytics of environmental turbulence
http://www.ibmbigdatahub.com/blog/zeitgeists-wind-gusts-and-analytics-environmental-turbulence
http://www.ibmbigdatahub.com/blog/zeitgeists-wind-gusts-and-analytics-environmental-turbulence
Data Science to Change The World or Scratch an Itch
It's springtime at last for cognitive computing
Social learning to instill confidence in data science applications
The new soul of the insight economy: A Datapalooza dispatch
Rocking Data Science for Sustainable Innovation: A Datapalooza Dispatch
A Community Event for Innovative Spark Apps: A Datapalooza Dispatch
Creative Data Engineering Can Drive Data Science Insights: A Datapalooza Dispatch
Datapalooza: Produce Your Data Application Development Concert
Datapalooza: Compose Your Data-Science Music
Datapalooza: Harmonize your data engineering
http://www.ibmbigdatahub.com/blog/datapalooza-harmonize-your-data-engineering
http://ibm.co/1NlFR1p
http://www.ibmbigdatahub.com/blog/datapalooza-harmonize-your-data-engineering
http://ibm.co/1NlFR1p
IBM Insight 2015, day 3: Final thoughts and transformative announcements
http://www.ibmbigdatahub.com/blog/ibm-insight-2015-day-3-final-thoughts-and-transformative-announcements
http://ibm.co/1WlKT3E
Introducing Insight Cloud Services at IBM Insight 2015
http://www.ibmbigdatahub.com/blog/introducing-insight-cloud-services-ibm-insight-2015
http://ibm.co/1Rirs4Z
http://www.ibmbigdatahub.com/blog/ibm-insight-2015-day-3-final-thoughts-and-transformative-announcements
http://ibm.co/1WlKT3E
Introducing Insight Cloud Services at IBM Insight 2015
http://www.ibmbigdatahub.com/blog/introducing-insight-cloud-services-ibm-insight-2015
http://ibm.co/1Rirs4Z
What is the role of the data scientist in the insight economy?
http://www.ibmbigdatahub.com/blog/what-role-data-scientist-insight-economy
http://ibm.co/1MtsVaK
http://www.ibmbigdatahub.com/blog/what-role-data-scientist-insight-economy
http://ibm.co/1MtsVaK
IBM Insight 2015, day 2: Highlights from sessions and the Hack the Weather finals
http://www.ibmbigdatahub.com/blog/ibm-insight-2015-day-2-highlights-sessions-and-hack-weather-finals
IBM Insight 2015, day 1: Observations, announcements and insights
http://www.ibmbigdatahub.com/blog/ibm-insight-2015-day-1-observations-announcements-and-insights
http://ibm.co/1P3sumd
http://www.ibmbigdatahub.com/blog/ibm-insight-2015-day-1-observations-announcements-and-insights
http://ibm.co/1P3sumd
Demystify your data with the next generation of business analytics
James Kobielus
http://www.ibmbigdatahub.com/blog/demystify-your-data-next-generation-business-analytics
http://ibm.co/1Mnt1AL
James Kobielus
http://www.ibmbigdatahub.com/blog/demystify-your-data-next-generation-business-analytics
http://ibm.co/1Mnt1AL
The outthink imperative: The many paths to cognitive illumination
James Kobielus
http://www.ibmbigdatahub.com/blog/outthink-imperative-many-paths-cognitive-illumination
http://ibm.co/1P1rkrz
James Kobielus
http://www.ibmbigdatahub.com/blog/outthink-imperative-many-paths-cognitive-illumination
http://ibm.co/1P1rkrz
Listening, engaging and influencing: The power of Twitter-based social insights
James Kobielus
http://www.ibmbigdatahub.com/blog/listening-engaging-and-influencing-power-twitter-based-social-insights
http://ibm.co/1MnglJW
James Kobielus
http://www.ibmbigdatahub.com/blog/listening-engaging-and-influencing-power-twitter-based-social-insights
http://ibm.co/1MnglJW
Putting analytics into disaster preparedness and response
http://www.ibmbigdatahub.com/blog/putting-analytics-disaster-preparedness-and-response
http://ibm.co/1S0MZzW
http://www.ibmbigdatahub.com/blog/putting-analytics-disaster-preparedness-and-response
http://ibm.co/1S0MZzW
The Internet of Things and the evolving role of big data analytics in the insight economy
http://www.ibmbigdatahub.com/blog/internet-things-and-evolving-role-big-data-analytics-insight-economy
http://ibm.co/1PtkjBg
http://www.ibmbigdatahub.com/blog/internet-things-and-evolving-role-big-data-analytics-insight-economy
http://ibm.co/1PtkjBg
Datapalooza: What’s so funny 'bout peace, love and data science?
http://www.ibmbigdatahub.com/blog/datapalooza-what-s-so-funny-bout-peace-love-and-data-science
http://ibm.co/1NJkqsc
http://www.ibmbigdatahub.com/blog/datapalooza-what-s-so-funny-bout-peace-love-and-data-science
http://ibm.co/1NJkqsc
When the analytics storybook becomes your business playbook
http://www.ibmbigdatahub.com/blog/when-analytics-storybook-becomes-your-business-playbook
http://ibm.co/1hDZ9S0
http://www.ibmbigdatahub.com/blog/when-analytics-storybook-becomes-your-business-playbook
http://ibm.co/1hDZ9S0
Spark in the world beyond Silicon Valley
http://www.ibmbigdatahub.com/blog/spark-world-beyond-silicon-valley
http://ibm.co/1QnUIqG
http://www.ibmbigdatahub.com/blog/spark-world-beyond-silicon-valley
http://ibm.co/1QnUIqG
Weather analytics help forecast, prevent and mitigate outages
http://www.ibmbigdatahub.com/blog/weather-analytics-help-forecast-prevent-and-mitigate-outages
http://ibm.co/1LDBn70
http://www.ibmbigdatahub.com/blog/weather-analytics-help-forecast-prevent-and-mitigate-outages
http://ibm.co/1LDBn70
Analytics-driven targeting, personalization and engagement in the insight economy
http://www.ibmbigdatahub.com/blog/analytics-driven-targeting-personalization-and-engagement-insight-economy
http://ibm.co/1JOrb45
http://www.ibmbigdatahub.com/blog/analytics-driven-targeting-personalization-and-engagement-insight-economy
http://ibm.co/1JOrb45
Highlights from day three of Strata + Hadoop 2015
http://www.ibmbigdatahub.com/blog/highlights-day-three-strata-hadoop-world-2015
http://ibm.co/1iRJOOX
http://www.ibmbigdatahub.com/blog/highlights-day-three-strata-hadoop-world-2015
http://ibm.co/1iRJOOX
Weather analytics help insurers weather the fiercest storm
http://www.ibmbigdatahub.com/blog/weather-analytics-help-insurers-weather-fiercest-storm
http://ibm.co/1LnG6t7
http://www.ibmbigdatahub.com/blog/weather-analytics-help-insurers-weather-fiercest-storm
http://ibm.co/1LnG6t7
Highlights from day two of Strata + Hadoop World 2015
http://www.ibmbigdatahub.com/blog/highlights-day-two-strata-hadoop-world-2015
http://ibm.co/1PQz3am
http://www.ibmbigdatahub.com/blog/highlights-day-two-strata-hadoop-world-2015
http://ibm.co/1PQz3am
Highlights from day one of Strata + Hadoop World 2015
http://www.ibmbigdatahub.com/blog/highlights-day-one-strata-hadoop-world-2015
http://ibm.co/1KStmFp
http://www.ibmbigdatahub.com/blog/highlights-day-one-strata-hadoop-world-2015
http://ibm.co/1KStmFp
Weather data analytics: Helping retailers predict and meet customer demand
http://www.ibmbigdatahub.com/blog/weather-data-analytics-helping-retailers-predict-and-meet-customer-demand
http://ibm.co/1FygKGo
http://www.ibmbigdatahub.com/blog/weather-data-analytics-helping-retailers-predict-and-meet-customer-demand
http://ibm.co/1FygKGo
Hack the Weather: Weather data presents new challenges for data scientists
http://www.ibmbigdatahub.com/blog/hack-weather-weather-data-presents-new-challenges-data-scientists
http://ibm.co/1NJSq5R
http://www.ibmbigdatahub.com/blog/hack-weather-weather-data-presents-new-challenges-data-scientists
http://ibm.co/1NJSq5R
Open source is opening new frontiers in the insight economy
http://www.ibmbigdatahub.com/blog/open-source-opening-new-frontiers-insight-economy
http://ibm.co/1OpBHWS
http://www.ibmbigdatahub.com/blog/open-source-opening-new-frontiers-insight-economy
http://ibm.co/1OpBHWS
Cognitive Computing, Artificial Intelligence Apps Have Big Future in the Enterprise
Securing Everything in the Internet of Things
Hadoop: The open refinery of 21st century data science
http://www.ibmbigdatahub.com/blog/hadoop-open-refinery-21st-century-data-science
http://ibm.co/1FxElla
http://www.ibmbigdatahub.com/blog/hadoop-open-refinery-21st-century-data-science
http://ibm.co/1FxElla
The Bogus Bogeyman of the Brainiac Robot Overlord
Skills that every data scientist needs in today’s insight economy
http://www.ibmbigdatahub.com/blog/skills-every-data-scientist-needs-today-s-insight-economy
http://ibm.co/1ERhW7o
http://www.ibmbigdatahub.com/blog/skills-every-data-scientist-needs-today-s-insight-economy
http://ibm.co/1ERhW7o
Hack the weather with deep data science
http://www.ibmbigdatahub.com/blog/hack-weather-deep-data-science
http://ibm.co/1L6S1Wf
http://www.ibmbigdatahub.com/blog/hack-weather-deep-data-science
http://ibm.co/1L6S1Wf
Identifying Privacy Sensitivities Before It’s Too Late
Driving next-generation predictive business
http://www.ibmbigdatahub.com/blog/driving-next-generation-predictive-business
http://ibm.co/1HVYLnA
http://www.ibmbigdatahub.com/blog/driving-next-generation-predictive-business
http://ibm.co/1HVYLnA
Business agility and the transformative promise of the true analytics platform
http://www.ibmbigdatahub.com/blog/business-agility-and-transformative-promise-true-analytics-platform
http://ibm.co/1DvTDf7
http://www.ibmbigdatahub.com/blog/business-agility-and-transformative-promise-true-analytics-platform
http://ibm.co/1DvTDf7
Stitching Computing into the Fabric of Life and Consciousness
Context Is A King Easily Checkmated
Digital Business, Digital Customers, and That Last Critical Mile
The Many Models Of Maturity In Big Data Analytics
Modeling Mind and Body with Spark
Searching the Blur of Online Images
Exclusive – IBM Big Data Evangelist James Kobielus Talks Analytics and Staying Flexible
https://icrunchdatanews.com/ibm-big-data-evangelist-james-kobielus-talks-analytics-staying-flexible/
Stigmatizing, Euphemizing, and Other Patterns of Technological Life
Humanitarian Giving and the Role of the Professional Data Scientist
Defending Connected Cars & the Vehicular Grid Against Cyberthreats
Driving in-memory data warehousing into the big data cloud
http://www.ibmbigdatahub.com/blog/driving-memory-data-warehousing-big-data-cloud
http://ibm.co/1KugiaV
http://www.ibmbigdatahub.com/blog/driving-memory-data-warehousing-big-data-cloud
http://ibm.co/1KugiaV
Social Sentiment and the Barometer of Backlash
The Irrelevance of Mathematical Certainty in Deep Learning Analytics
Statistical Modeling: Head, Heart, & Soul
How Long Should We Wait For That Quantum Leap?
How Spark is tuning up the logical data warehouse
http://www.ibmbigdatahub.com/blog/how-spark-tuning-logical-data-warehouse
http://ibm.co/1LAKcvz
http://www.ibmbigdatahub.com/blog/how-spark-tuning-logical-data-warehouse
http://ibm.co/1LAKcvz
Where and how do I start my digital business journey?
The Relativism of Privacy Sensitivities
Developing on-demand streaming analytics in the cloud http://www.ibmbigdatahub.com/blog/developing-demand-streaming-analytics-cloud
http://ibm.co/1LlOQh3
http://ibm.co/1LlOQh3
Streaming analytics enter the fast lane
Orchestrating Predictive Policing in Real Time
IBM Insight 2015 Chat: Applying Insight Everywhere with Data Science
Panning the Streams for Things of Gold
Artistic Deception, Machine-Learning Style
Measuring the artificial intelligence quotient
http://www.ibmbigdatahub.com/blog/measuring-artificial-intelligence-quotient
http://www.ibmbigdatahub.com/blog/measuring-artificial-intelligence-quotient
Algorithms For Wrestling Narrative Transparency Out Of Other Algorithms
Customer Segmentation: The Fine Line Between Profiling and Personalization
https://www.linkedin.com/pulse/customer-segmentation-fine-line-between-profiling-james-kobielus?published=thttps://www.linkedin.com/pulse/customer-segmentation-fine-line-between-profiling-james-kobielus?published=t
Real-World Experiments: When Algorithmic Inventions Engage In Biomimicry
Spark: Everything In Its Right Zone
Spark: Toward A More-Complete, Albeit Imperfect, Open-Source Big-Data Analytics Stack
Spark: On the Recent Radar
CAPTCHA as CAPTCHA Can
Drones and Their Impact on Data in the Internet of Things
Spark as a fit-for-purpose big data component
Spark and the crux of differentiation
http://www.ibmbigdatahub.com/blog/spark-and-crux-differentiation
http://www.ibmbigdatahub.com/blog/spark-and-crux-differentiation
Deep Learning & The Searchable Streaming Corpus
Algorithms for eyes: How deep learning can help the blind
9 reasons why developers & data scientists are primed to spark insight with Spark
Spark Summit 2015, Day 2: A gathering of today’s most dynamic data scientists
Spark Summit 2015, Day 1: Energizing a new wave of data scientists
Advertising Fatigue and The Analytics of Stealth Targeting
The Spark that ignites the insight economy
The emergence of a diversified industry ecosystem around Spark
Spark delivering value in the real world here and now
Hadoop Summit 2015, Day 3: Passing the torch to Apache Spark
Hadoop Summit 2015, Day 2: Managing Hadoop's indistinct market boundaries
http://www.ibmbigdatahub.com/blog/hadoop-summit-2015-day-2-managing-hadoops-indistinct-market-boundaries
http://ibm.co/1L3Q6GE
http://www.ibmbigdatahub.com/blog/hadoop-summit-2015-day-2-managing-hadoops-indistinct-market-boundaries
http://ibm.co/1L3Q6GE
Machine learning and the Spark of accelerated insighthttp://www.ibmbigdatahub.com/blog/machine-learning-and-spark-accelerated-insight
http://ibm.co/1L39q6Y
http://ibm.co/1L39q6Y
Things Within Things Within Things Within And In And In And In And….
Hadoop Summit 2015, Day 1: Innovation thrives as Hadoop nears maturity
http://www.ibmbigdatahub.com/blog/hadoop-summit-2015-day-1-innovation-thrives-hadoop-nears-maturity
http://ibm.co/1JL4bqA
Building a strong foundation for Hadoop with the Open Data Platform initiative
http://www.ibmbigdatahub.com/blog/building-strong-foundation-hadoop-open-data-platform-initiative
http://ibm.co/1FJxgOv
http://www.ibmbigdatahub.com/blog/hadoop-summit-2015-day-1-innovation-thrives-hadoop-nears-maturity
http://ibm.co/1JL4bqA
Building a strong foundation for Hadoop with the Open Data Platform initiative
http://www.ibmbigdatahub.com/blog/building-strong-foundation-hadoop-open-data-platform-initiative
http://ibm.co/1FJxgOv
Humans vs. algorithms: Who -- or what -- should decide?
Avoiding code bloat as data scientists embrace Spark
http://www.ibmbigdatahub.com/blog/avoiding-code-bloat-data-scientists-embrace-spark
http://ibm.co/1Kqmq5f
http://www.ibmbigdatahub.com/blog/avoiding-code-bloat-data-scientists-embrace-spark
http://ibm.co/1Kqmq5f
Practical applications for which Spark sparkles brightly
Quo Quantum?
10 things you need to know about Spark
http://www.ibmbigdatahub.com/presentation/10-things-you-need-know-about-spark
http://ibm.co/1Bpo5Rk
http://www.ibmbigdatahub.com/presentation/10-things-you-need-know-about-spark
http://ibm.co/1Bpo5Rk
Deep Learning Lives and Dies By Dimensionality Reduction
How to get started with Apache Spark today
http://www.ibmbigdatahub.com/blog/how-get-started-apache-spark-today
http://www.ibmbigdatahub.com/blog/how-get-started-apache-spark-today
Big Data Analytics, GMOs, and the Future Cuisine of Space-Dwelling Humanity
Machine learning as a fluid intelligence harvesting service
Trusting the ecosystem that sustains and maintains the Internet of Things
If Machine Learning Only Had A Heart
Apache Spark and the power of openness
Connected Cars & The Coming Era of The Distributed Data-Transmission Drivetrain
Tracking and monetizing the genome of human mobility
The power behind Apache Spark
Machine Learning, 3-D Gestural Interfaces, and the Demise (or Triumph) of Personal Computing
High-quality data science training on the cheap
The Brains In Our Clouds And The Chips In Our Heads
Debunking the Myths around Cognitive Computing
IBM’s Continued Leadership in the Data Warehousing Market
Machine-milled insights and the limits of algorithmic automation in cognitive computing
The resurgent relevance of the data warehouse
The Fantastic Visualization Voyage Through the Deep Data of Human Physiology
https://www.linkedin.com/pulse/fantastic-visualization-voyage-through-deep-data-human-james-kobielus
Accelerate your operational analytics
Questioning The Authority Of Intuition And The Intuition Of Authorities
No, the data warehouse is not dead
The Analytics Of Quantified Candor
Predictive business: Tools for bending the future in your direction
Fluidity: The key to continuous confidence in cloud analytics
http://www.ibmbigdatahub.com/blog/fluidity-key-continuous-confidence-cloud-analytics
http://ibm.co/1It3NKs
http://www.ibmbigdatahub.com/blog/fluidity-key-continuous-confidence-cloud-analytics
http://ibm.co/1It3NKs
Something Singular May Or May Not This Way Come
One Query Drives It All: IBM Fluid Query Is The Foundation Of The Logical Data Warehouse
Apache Spark: 3 Promising Use-Cases
Delving deeply into the narrative hierarchies of computer vision analytics
Placemaking, Urban Design, & The Analytics Of Public Space Utilization
The all-consuming future of cloud analytics
Framing the Data-Science Narrative through Spatial Composition
Frameworks Taking Precedence Over Stacks in Big Data
The evolving shape of distributed databases in the Internet of Things
http://www.ibmbigdatahub.com/blog/evolving-shape-distributed-databases-internet-things
http://www.ibmbigdatahub.com/blog/evolving-shape-distributed-databases-internet-things
The Coming Constellation Of Remote-Sensing Things
Visualizing big science like never before
Embodied Cognition in the Customer-Engagement Loop
Defining the Unified Data Model for the Internet of Things
Hadoop is probably as mature as it's going to get
How to Game the Turing Test
Using Analytics To Pinpoint Medicine With Precision
Fogs, logs and cogs: The newer, bigger shape of big data in the Internet of Things
Networks Are Becoming Self-Aware and Self-Defending
When New Hardware Starts To Spontaneously Self-Fabricate
Distinguishing Data’s Latency From Its Actionability
Big Data Drives the 21st Century Automotive Experience
The dev@ was in the details, and in my delivery
Meet the Expert: James Kobielus
Flat Org. Flat Earth. Whatever.
Spooky action at a personal distance
Probabilistic programming languages in data science
Black Swans, Sitting Ducks, and Geospatial Analytics
Ignite dev@Insight James Kobielus: Data science not magic wand for diagnosing global warming
Chief Data Science Officers Won't Supplant CIOs
The Matter is Settled: Big Data = [ ]
Data scientists need to nip model overfit in the bud
The Challenge of Data-Driven Security in the Petabyte Era
Simulating customer cognition with or without neuroscience
Detangling Herd Bias From Crowd Wisdom
Gamifying the Real Game of Business
Why you may never need to become a data scientist
Real-World Experiments: The Value Of Failure In A/B Testing
Fathoming photos at algorithmic speed
The Declining Value of Social-Media Water-Cooler Sentiment
Analytics and measurements: A recipe for sustainable food chains
Data Warehouse Modernization: Vetting Forrester’s Return-on-Investment Calculations
Shining analytical light deeply into dark data
http://itknowledgeexchange.techtarget.com/IT-watch-blog/shining-analytical-light-deeply-into-dark-data/
Pushing the MapReduce Efficiency Envelope
The Evolving Big Data Fabric Of The Travel Experience
Healthcare Analytics And The Mysterious Statistical Signatures Of Mental Health
Ambient Analytics and The Coming Of Big-Data Unaware-Ables
Cognitive Computing and the Indelible Role of Human Judgment
Does Big Data Facilitate Big-Time Manipulation?
Patting down the pachyderm: Big data prognostications for 2015
Decision Automation: Retraining And Restraining The Long-Data Arm Of The Law
Busted! The campaign against counterfeit reviews
Internet of Things: Revisiting Metcalfe's Law In The Era Of Everything Networking
Cognitive Computing: Undecidable Problems And The Limits Of Algorithmic Cognition
December 18, 2014
December 11, 2014
Peeling back the layers of the smarter city
The Challenges of Master Data Management in the Internet of Things
Optimized object storage is key to streaming media
Big Data Ethics for Targeted Segmentation
Cognitive computing: Programming the artificial mind
November 20, 2014
Chief data officer: My mixed and nuanced musings on the need for one
November 13, 2014
Behavorial analytics in the era of wearables
Cognitive computing as a wearable prosthetic
Five Ways To Move Your Big Data into the Cloud
Bringing cloud-based modernization to data warehousing and analytics
October 28, 2014
Big Data Is Not the Death Knell of ETL
What's keeping data science from playing a more central role in public policy?
October 23, 2014
Self-Service Analytics, Data Warehousing, and Information Management in the Cloud
Collaborations and correlations in the common cause
Ensembles to Boost Machine Learning Effectiveness
Distributing data science brainpower more equitably among the haves and have-nots
Governance, Stewardship, and Quality of Temporal Data in a Data Warehousing Context
Converging in-motion and in-memory analytics
Using analytics to help hospitals avoid inadvertently sickening patients and their caregivers
October 2, 2014
The Challenges of Deploying Big Data Analytics to the Cloud
Data science's limitations in addressing global warming
September 25, 2014
September 19, 2014
IBM Watson: Core of the cognitive revolution
September 18, 2014
Immunizing your business against toxic customer relationships
September 11, 2014
Who's afraid of the big (data) bad wolf?
When big data is truly better
The analytic potency of the ontology
Raising real-time transaction and analytic processing to the next power
September 2, 2014
Consolidating and migrating to an in-memory analytics cloud
August 27, 2014
Doing something about the weather
August 21, 2014
The Larger Stakes Behind Big Data Ethics
Explore New Frontiers in Business Analytics
Using real-time analytics to identify who's scooping whom in online journalism
August 14, 2014
August 7, 2014
Algorithms are not magic
Empowering athletes with real-time, data-driven decision support
July 31, 2014
The Power of Behavioral Fingerprinting
Can a machine detect sarcasm? Yeah, right
Real-time healthcare compliance analytics can keep patients alive and well
July 24, 2014
Big algorithm libraries breathe life into big data
Real-world experiments and the Facebook controversy over mood manipulation
July 17, 2014
Big data as a factor in life-or-death decisions
July 10, 2014
Transforming the agile data warehouse in the age of the in-memory cloud
July 9, 2014
James Kobielus: Cualquiera se beneficia del big data
Streaming media and narrative power of video content analytics
IBM Watson and the power of conversation in the cognitive fabric
June 26, 2014
Data De-Duplication Should Be the Heart of all Big Data Strategies
What's machine learning? It depends on who you ask
The delicate art of data science project prioritization and triage
June 19, 2014
Big data log analysis thrives on machine learning
The Ground Truth in Agile Machine Learning
The democracy of open data
Scientists beginning to tap the research potential of the quantified self
June 12, 2014
Hadoop, whither goest thou?
Too big, too small, or just right? Balancing your social connections
Grounding cognitive computing in probabilistic data analytics
Practical Data Science and the Tricky Business of A/B Testing
Evolving the binocular vision and opposable thumbs of cognitive computing
May 29, 2014
Whipping Web Analytics into Shape to Glimpse True Customer Experience
In Data Science, Take Nothing on Faith
Big data's bogus correlations
May 22, 2014
IBM Data Magazine: Its Value and Its Vision
Don’t Understaff and Overstretch Your Analytics Development Team
Never put everything in one database basket, even if it’s Hadoop
Open climate data will focus humanity on solutions to global warming
May 15, 2014
Sports Teams: Smack That Ol’ Moneyball Right Out of the Park
Hidden Biases That May Cloud Cognitive Computing
Using advanced image analytics to spot hidden cancer patterns
May 9, 2014
Data confidence: The proof's in the process
May 1, 2014
Hadoop is Beginning to Stare Newer Big Data Approaches in the Face
April 28, 2014
Nurturing open marketplaces for predictive models and modeling expertise
April 24, 2014
Moneyball is the true game-changing application of data analytics
April 17, 2014
The embryonic days of the data journalism industry are upon us
April 10, 2014
IBM big data roundtable: The transformative power of big data
April 4, 2014
Big data powers the practical know-it-all in us all
April 3, 2014
Extract maximum insights before you purge your data
Rules of thumb for identifying and prioritizing big data applications
The Irreducibly Human Center of Streaming Music Algorithmics
Saving the Planet
Plugging a lean, mean big-data-analyzing machine into manufacturing
March 21, 2014
Using big data to tune the fusion of human physiology and machine physics
March 13, 2014
Detecting the Signs of Drama and Drift in Customer Loyalty
Caveat on use of the Internet of Things in behavioral analytics
March 6, 2014
The exabyte era is rapidly streaming our way
The cloud now has a BLU lining and BLU has a cool hub
February 28, 2014
Machine learning floats all boats on big data's ocean
Mobile data traces the contours of urban experience
Mitigating the Disruption of Real-World Experiments
Data scientists need psychological insights to tune customer analytics
February 20, 2014
Big data drives the daisy chain of value in today's economy
February 13, 2014
Pay Your Customers What They’re Worth to You
Customer experience data is too important to foul with shoddy governance
February 6, 2014
IBM Patterns and Platforms for Business Intelligence (BI): Choosing What’s Best for You
When and When Not to Have Faith in Statistical Models – Part 2
Cognitive computing can take the semantic Web to the next level
Autonomic planet: Distributed intelligence for a self-healing ecosystem
When and When Not to Have Faith in Statistical Models – Part 1
Big data overkill can stunt scientific rigor
January 23, 2014
The Beauty Metric: Choosing the Best-Fit Advanced Analytic Algorithms
Next best expert: Collaboration of people and machines on big data and analytics
January 16, 2014
Log data is pivotal to analytics on Internet of Things
Koby's predictions for the Internet of Things in 2014 and beyond
January 10, 2014
Foretelling 2014 Trends In Big Data, Hadoop, Data Science & More
What Koby's tea leaves foretell for big data in 2014
January 2, 2014
Open Data Graphs Can Boost the Global Economy
The Aromatic Ambience of Customer Experience
December 19, 2013
#GreaterIBM Big Data chat Recap: Data Science Career
Big Identity’s Double-Edged Sword: Wielding It Responsibly
SAP users now have access to the acceleration benefits of IBM BLU
James Kobielus: Big Data, Cognitive Computing and Future of Product
Big data demands nonstop experimentation
The NoSQL Conundrum: Lagged Veracity and the Double-Edged Promise of Eventual Consistency
December 5, 2013
The tricky chemistry of a high-performance data-science team
YARN unwinds MapReduce's grip on Hadoop
Small, Spotty and Zero Data: The Insights Present in Information’s Absence
November 21, 2013
The Big Media Revolution
Analytics Illuminate Stab-in-the-dark Recommendations
Big Data and the Power of Mathematical Breakthroughs
Recommendations Galore – Part 2
November 15, 2013
Data Scientists: The Challenge of Managing Stubbornly Autonomous Experts
November 14, 2013
Recommendations Galore – Part 1
November 8, 2013
Interview outside the press working room at IBM IOD 2013 by Mark Brunelli of SearchDataManagement.com
Big science thrives on open reference data
My personal take-aways: Surfing the deeply informative IOD Hub
http://www.ibmbigdatahub.com/IOD/2013/blog/my-personal-take-aways-surfing-deeply-informative-iod-hub
November 6, 2013
IBM PureData business overview and Roadmap discussion from Enzee Universe at Information On Demand 2013
November 6, 2013http://www.ibmbigdatahub.com/IOD/2013/blog/my-personal-passion-ibm-iod-2013-and-big-buzz-data-science
My personal passion: IBM IOD 2013 and the big buzz for data science
November 5, 2013
My personal cheatsheet: IBM IOD 2013 day one announcements
November 5, 2013
Cognitive Computing: Relevant at all Speeds, Scales and Scopes of Thought
Smithsonian Institution. National Museum of American History. Lemelson Center. Video playback. October 25, 2013. "Inventing the Surveillance Society." Kobielus: 31:30-53:00 & 1:19:00-2:10:00
Converting Big Data And Analytics Insights Into Results: IBV Study Findings
Machine Learning Boosts Data-Scientist Learning, and Vice Versa
The Challenges of Transparent Accountability in Big Data Analytics
The Emergence of Big Media: Evolving and Dwarfing Today's Big Data Platforms
Don’t Aggravate the Aggregate with Continuous Campaigning
Combining PureData and System z for Mission Critical Analytic an IBM Virtual Enzee Recap
Geospatial Analytics: Evolving to Address Mindblowing Big-Data Challenges
Sometimes it's OK to treat people like numbers
Data Scientists and Their Curriculum
Geospatial Analytics Transforming Brick-and-Mortar Retailing into a Digital Experience
Twisting the Kaleidoscope – Part 1
Twisting the Kaleidoscope – Part 2
Big data rapidly evolving away from rotating storage
Cognitive Computing: Driving Intelligent Cross-Channel Conversations
Living the Big Data Dream: Confidence, Confidentiality and Continuous Automation in the 21st Century
Data Scientists Need a Professional Code of Conduct
Sentiment or Sediment?
Optimal Deployment for Big Data
DevOps can take data science to the next level
http://www.infoworld.com/d/big-data/devops-can-take-data-science-the-next-level-227137
http://www.infoworld.com/d/big-data/devops-can-take-data-science-the-next-level-227137
Whitepaper: Big Data Analytics For A Holistic Customer Journey
Openness: Bringing Greater Transparency and Agility to the Smarter Planet
September 19, 2013
Data Scientists: Key Programmers in the Convergence of Big Data, Cloud, Streaming and Internet of Things
September 12, 2013
Big data and analytics for a holistic customer journey
Hadoop Appliances: Key Building Blocks of the Big Data Cloud
Hadoop appliances: the key to simplicity, speed, scalability, and stability in big data
Tweets Are The Fruit Flies Of Consumer-Facing Data Science—For Better and Worse
September 5, 2013
VIDEO: Acquire, Grow, Retain: Enhancing the 360 View of the Customer
http://www.ibmbigdatahub.com/blog/acquire-grow-retain-enhancing-360-view-customer
Perception Science Should Drive Advanced Visualization Designs
Indescribable! Indestructible! Humungous! Nothing Can Stop the Big Media BLOB!
Big Data’s Coming End-State Architecture
Big Data’s Growing Impact on Hollywood’s Creative Process
Decision Confidence: Where the Predictive Chickens Come Home to Roost
August 22, 2013
Big data means big challenges in lifecycle management
Right Skills, Right Place, Right Time: Educating the Next-Generation Big-Data Professional
August 14, 2013
The Best Data Scientists Cluster Around the Biggest Big-Data Challenges
Evolving Supercomputing in the Era of Big Data
August 2, 2013
Counterintuitive Data Science Methods May Yield Keener Analytical Insights
Big Data Can Deepen or Dilute Caregiver-Patient Engagement
August 1, 2013
Big Data Analytics Will Permeate the Internet of Things
July 25, 2013
Graph analysis will make big data even bigger
Please Don’t Alchemize Social Sentiment into Fool’s Gold
Big Data’s Potential in Helping to Secure the Internet of Things
Social Data Quality Will Take Back Seat to Data Relevance
Big Data: How Can We Measure the Risks?
July 19, 2013
Hadoop’s Linux Analogy is Wearing Thin as the Market Evolves
July 11, 2013
Shooting Down Myths about Data Scientists
Stream computing is core of the Internet of Things — and much more
High-Quality Data Science Demands Independent Verification
Internet of Things May Disrupt Predictive Analytics in Big Data Clouds
July 2, 2013
The Enterprise Data Warehouse is Virtualizing into the Big-Data Cloud
June 27, 2013
Generational Segmentation has Become a Marketing Industry Joke
Single Version of the Truth: Ground it in Data Science, Not Data Faith
June 20, 2013
Big data needs data virtualization
Convergence of Social, Mobile and Cloud: 7 Steps to Ensure Success: Step 5: Leverage Analytics to Gain Insight
June 13, 2013
Social Business: The Power of Big Data in Agile Engagement
The Power of Big Data to Drive Agile Social Business
Data Scientist: Strike a Balance Between Quantitative & Qualitative Exploration
June 6, 2013
Data science should be free of intrusive regulation
Big Data Driving Converged Digital Telecommunications & Media
Big Data Philosophies: More Practical than You Might Think
Influence Attribution in Marketing is an Inexact Science…At Best
Big Data: Practical Solutions [Video]
Big Data In Danger of Definitional Overkill
May 23, 2013
Data Scientist: Bias, Backlash and Brutal Self-Criticism
May 16, 2013
There's no shortage of data science smarts
The Rise of the Data Scientist: Recap of IBM Twitterchat
May 14, 2013
Measuring the Business Value of Big Data
May 9, 2013
The Rise of the Data Scientist in the Smarter Planet
Data scientists need a cloud sandbox
Big-data trustworthiness needs independent vetting
Ambient Analytics: Will Wearable Gadgets Open the Floodgates to Glut?
The Next Big “H” in Big Data: Hybrid Architectures
Shopping Happiness is Bursts of Spontaneity Within The Routine
Crowdsourced Surveillance: Next Big App of Big Media
May 3, 2013
Recap of IBM Twitterchat: Storing Big Data
April 26, 2013
Is Privacy Possible in the Era of Big Data?
How Big Data is Changing Patient Care
April 22, 2013
Big Data As a Strategic Asset: Got Guru?
April 18, 2013
Big identity is big data’s double-edge sword
Data Journalism: Big Data, Data Science, & the Art of Non-Fictional Storytelling
April 12, 2013
Recap of IBM Twitterchat: Enterprise Challenges of Incorporating Hadoop
April 11, 2013
Finding gems in big data archives
Going Cloud with Your Big Data: A Structured Approach
https://www-304.ibm.com/profiles/html/simpleSearch.do?searchFor=06000021Q7&searchBy=useridGamified Analytics: Unlocking Disruptive Genius or Disrupting Data Quality?
The Age of Agile: Beyond Big Data
April 4, 2013
Don’t Force-March All of Your Customers to a New Improved Experience
Recap of IBM Twitterchat: How In-Memory Technology is Transforming Big Data
March 29, 2013
Big Data, Quality of Service, and Telecom 2.0
March 28, 2013
Big Data Debate: Will Hadoop Become Dominant Platform?
Small data and big data are joined at the hip
When you should put big data in the cloud
In-Memory: The Lightning in the Big Data Bottle
March 21, 2013
Recap of IBM Twitterchat: Mobile Data - Taking Your Big Data on the Road
March 20, 2013
Hardcore Big-Data Use Cases: Better Results at Extreme Scale
March 14, 2013
How Much Big Data Do You Actually Need?
http://blog.cloud-council.org/2013/03/big-data-in-the-cloud-roadmap-for-user-adoption.html
5 Ways to Make Big Data Production-Ready
Big Data On the Move: Everywhere You Need It To Be
March 7, 2013
Gauging the Maturity of Your Big Data Initiatives
Data Scientist: Exploration in the Age of the Unstructured
February 28, 2013
Koby Asks: Must You Sacrifice Privacy for Social Business?
Productionizing Your Big Data: A Checklist of Key Considerations
February 21, 2013
Building big data skills: Closing the talent gap
Graph Analysis Powers the Social and Semantic Spheres of Big Data
Controlled Explosion: Keeping Big Data Contained with Security, Governance and Information Lifecycle Management
February 14, 2013
Graph-o-mania: The Flowering of a New Visual Paradigm in Business Analytics
Integrated Systems Unlock True Potential of Big Data
The Maturing of Big Data: From Herding Cats to Taming Tigers
February 7, 2013
Recap of Tweetchat on Big Data in the Cloud
February 4, 2013
Koby Asks: What Keeps the Chief Marketing Officer Up At Night?
Healthcare Personalization in the Age of Ubiquitous “Omics”
January 31, 2013
Next Best Action in the Internet of Things
January 24, 2013
Securing Big Data: Issues to consider in your strategic planning
Jan 22 2013
Data Scientist: Closing the Talent Gap
January 17, 2013
Actionable Analytics: It's Coming Out of Dilbert's Boss' Mouth...Is it Useless Industry Jargon?
The Role of Stream Computing in Big Data Architectures
Koby’s Big Data Predictions for 2013
January 3, 2013
https://www-304.ibm.com/profiles/html/simpleSearch.do?searchFor=270003F3FN&searchBy=useridPatient Similarity Analytics for Personalized Healthcare
Materializing the Data of Desire in Digital Marketing
Data Scientist: Sexy Is as Sexy Does
December 10, 2012
Big Data, Fractal Geometry, and Pervasively Parallel Processing
Next Best Action in Social Business
November 27, 2012
"The Cube - #IBM Information on Demand - James Kobielus"
Data Scientists: Myths & Mathemagical Powers
Data Scientist: Potential Superstars in Prediction Markets
November 9, 2012
Next Best Action Rides the Best-Fit Model
November 6, 2012
True Hadoop Standards are Essential for Sustaining Industry Momentum: Part 2
Published November 2, 2012
Data Scientist: Bringing True Science into the Business Process
November 2, 2012
Next Best Action Driving the Fluid Modern Experience
October 31, 2012
Targeted Marketing: When Does Cool Cross Over to Creepy?
IBM IOD 2012: The Big Data Buzz Continues to Amaze
October 29, 2012
Deepen the Business Value of Big Data: IOD Announcements
Takeaways from Recent ZDNet TechLines Broadcast Panel on Big Data
October 17, 2012
Data Scientist: Chart The Customer Journey
October 15, 2012
True Hadoop Standards are Essential for Sustaining Industry Momentum: Part 1
IBM PureData System Incorporates Common Platform for Analytics and Transactions
October 9, 2012
Workload-optimized Systems? Integrated Management for Maximum Administrator Productivity
October 5, 2012
Workload-optimized Systems? Clean-slate Design for Optimal Appliance Performance
October 3, 2012
Workload-optimized Systems? Built for and Building the Big Data Cloud
October 3, 2012
Workload-optimized Systems? Scale In, Out and Up for Balanced Big Data Configurations
October 2, 2012
Workload-optimized Systems? Patterns of Expertise for Built-in Solution Best Practices
October 1, 2012
The V Monologues
Next Best Action in the Influence Economy
September 25, 2012
Data Scientist: Consider the Curriculum
September 18, 2012
Next Best Action Functionality Baked into Your Business Platform
September 11, 2012
Twitter Chat Preview: How Big Data is Changing Patient Care
September 10, 2012
Hadoop Cluster Management
Podcast: “Debunking Big Data myths
Data Scientist: Mastering the Methodology, Learning the Lingo
August 30, 2012
Next Best Action Back Inside Your Business
August 29, 2012
WEEK'S WORTH OF KOBY QUICK-HITS August 20-24 2012
August 24, 2012
Data Scientists: Credentialed or Otherwise
August 22, 2012
Next Best Action: Its Leading Synonyms and Trailing Cynicisms
August 22, 2012
Hadoop Myths Debunked
August 20, 2012
What Worries the CMO? Fathoming the Human Heart.
A Week of Koby's Quick Hits - Aug. 13-17
August 17, 2012
Next Best Action on the Streets of Your Town
August 16, 2012
Data Scientists: Explore Game Theory to Boost Customer Engagement
August 13, 2012
A Week of Koby's Quick Hits - Aug. 6-10
August 10, 2012
Big Data: Data Quality’s Best Friend? Part 2
Hadoop: Nucleus of the Next-Generation Big Data Warehouse
Big Data: Data Quality’s Best Friend? Part 1
Week's Worth of Koby Quick Hits: July 30 - August 3, 2012
August 06, 2012
Week's Worth of Koby Quick Hits: July 23-27, 2012
July 30, 2012
Another shot from the Koby side: Customer as Pantheon
Recap: Big Data: What Drives You and Where Do You Start?
July 25, 2012
Data Scientists: Bridge the Cultural Divide with BI Practitioners
July 24, 2012
Asking the Experts: James Kobielus on Big Data, BigInsights, and Hadoop
Week's Worth of Koby Quick Hits: July 16-20, 2012
July 23, 2012
Tweetchat Preview: Big Data – Where to Start
July 19, 2012
Next Best Action in the Ever-Virtualizing Physical Point of Sale
July 17, 2012
Week's Worth of Koby Quick Hits: July 2-13, 2012
July 16, 2012
Big Media: It’ll Make Big Data Look Like A Puny Pachyderm
Business Intelligence in the Hadoop Era
July 5, 2012
Data Scientists: Myths and Mathemagical Superpowers
June 29, 2012
Week's Worth of Koby Quick Hits: June 25-29, 2012
June 29, 2012
Make Turing Proud: Next Best Action in Multichannel Conversations
June 26, 2012
Week's Worth of Koby Quick Hits: June 18 - 22, 2012
June 22, 2012
More Big Data Mythbusting
June 21, 2012
Response: Top 5 Myths about Big Data
June 21, 2012
Week's Worth of Koby Quick-Hits June 11th - 15th, 2012
June 18, 2012
Data Scientists: Run Your Mad Experiments
June 18, 2012
What Skills are Essential for Big Data?
June 13, 2012
Week's Worth of Koby Quick-Hits June 4th - 8th, 2012
June 11, 2012
Next Best Action in Real Time: The True Test of Big Data
June 11, 2012
Reuse, Recycle, Compost: A New Level of Insight into Garbage
June 05, 2012
Week's Worth of Koby Quick-hits: May 28 to June 1 2012
June 04, 2012
Data Scientists: Illuminate Your Patterns with Pictures
June 04, 2012
Week's Worth of Koby Quick-Hits May 21-25, 2012
May 29, 2012
Next Best Action in Unprecedented Circumstances: When No One Truly Knows the Next Best Action
May 29, 2012
Week's Worth of Koby Quick-Hits May 16th to 18th 2012
May 23, 2012
Smarter consolidation into Hadoop platforms
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http://ibmdatamag.com/2012/05/rocketship-to-planet-petabyte/http://ibmdatamag.com/2012/05/rocketship-to-planet-petabyte/
May 23, 2012
Data Scientists: Grow and Sustain a Center of Excellence
May 21, 2012
Big Data Analytics Helps Researchers Drill Deeper into Multiple Sclerosis
May 14, 2012
Next Best Action in Healthcare: Save & Improve Lives Through Applied Analytics
May 14, 2012
Data Scientists: How Big is Your Big Data Sandbox?
May 07, 2012
Next Best Action in a Smarter Planet: Think Global, Optimize Local
April 30, 2012
High Powered Profiling: Emerging Best Practice for Big Data
April 25, 2012
Big Data Analyst Crosses Over to the "Dark Side"? Hardly.
April 23, 2012