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