CIO playbook for 2018: Leading analysts break down the
trends
http://searchcio.techtarget.com/feature/CIO-playbook-for-2018-Leading-analysts-break-down-the-trends
Wikibon’s 2018 Artificial Intelligence Chipset Predictions
Wikibon’s 2018 Artificial Intelligence Predictions
Generative AI: The new power tool for creative pros
Wikibon’s 2018 Data Predictions
Wikibon 2018 Community Predictions
AI development toolkits will shift toward solution
orientation in 2018
Robot-driven programming is the leading edge of
development’s new era
Wikibon’s 2018 Developer Tooling, Services, and Practices
Predictions
Big Data: Main Developments in 2017 and Key Trends in 2018
Deeper deep learning shifts AI from sci-fi to software
Amazon sets the public cloud pace at AWS re:Invent 2017: a
Wikibon deep dive
Wikibon Trip Report: At re:Invent 2017, AWS Sets the Pace in
the Public Cloud
Clarifying Enterprise Deep Learning Development Priorities
Assessing Deep-Learning Development Frameworks
Bringing Model Training Fully into Machine Learning DevOps
Evaluating Serverless Frameworks for the True Private Cloud
Building Applications for Hybrid Clouds
Trip report: At Pentaho World 2017, Hitachi Vantara
refocuses data portfolio on edge analytics
Even data scientists are facing AI takeover
As deep learning frameworks converge, automation
possibilities unfold
The tension between data science professionalism and
automation
Modern infrastructure management: accelerating productivity
through machine learning
Bringing Analytics to the Edge: A Cube Discussion with Hitachi
Vantara’s Chuck Yarbrough
Adopting Serverless Computing for Cloud-Native Applications
Using Functional Programming to Build Serverless Cloud
Applications
Atlassian Delivers More Deeply
Collaborative DevOps Portfolio
Webinar Preview: Top Trends for Moving Your Data to the Data
Warehouse in the Cloud
Giving Machine Learning Freer Rein to Design Next-Generation
Communications Protocols
Wikibon Weekly Research Meeting
Notes: Serverless Computing
Defining an Architecture for Automating Data-Driven Business
Processes
Deepening Data Capital Through Cloud-Based Machine Learning
and Artificial Intelligence
Modern Infrastructure Management: Accelerating Productivity
Through Machine Learning
Tuning Chatbots for Maximum
Impact
Getting Started with Chatbot
Development
Wrapping Our Primate Brains
Around AI’s Next Grand Challenge
Putting “AI-First” Into Its
Proper Context
Training Your AI With As Little
Manually Labeled Data As Possible
How to prevent the hacked AI
apocalypse
Maintaining the Business Logic
That Drives Recommendation Engines
Data is eating the software that
is eating the world
Developing the Business Logic
That Drives Recommendation Engines
Digital twins will revolutionize
the Internet of Things
Infor Launches AI-First Cloud
ERP Strategy
Industry Initiatives Pushing
AI-Infused Software to the Federated Edge
How to write event-driven IoT microservices that don’t break
AI-Infused Software Is Eating
the IoT Edge
Pushing Storage to the Intelligent Edge—Recap of #ClearSkyEdge
Crowdchat
Wrapping DevOps Around the Data
Science Pipeline
Machine Learning Will Do
Auto-Programming’s Heavy Lifting
Further Evidence of IBM’s Strategic Retrenchment in
Enterprise Analytics
http://itknowledgeexchange.techtarget.com/IT-watch-blog/training-next-generation-ai-driven-chatbots/
7 Ways to Get High-Quality
Labeled Training Data at Low Cost
Automating Development and
Optimization of Machine Learning Models
At Spark Summit, Databricks Pushes Apache Spark Where It
Needs to Go
Automated Machine Learning Is the Key
to AI Developer Productivity
Building AI Microservices for
Cloud-Native Deployments
Agile Development in Team Data
Science
Keeping cloud-native DevOps from
spinning out of control
Istio: An Open Microservice Mesh
for the Cloud-Native Era
Grasping How Graph Fits
Microsoft’s Intelligent Edge Strategy
At Build, Microsoft delivers AI
to mainstream software developers
https://siliconangle.com/blog/2017/05/11/build-microsoft-delivers-ai-mainstream-software-developers/
The Container Ecosystem
Accelerates Up Its Maturity Curve
Adding Data Science To
Application Development
Self-programming machines will
usher in the third age of computing
Get ready for application
modernization, Docker style
Docker’s Application Services Ecosystem Is Still Underdeveloped
Looking
Ahead to DockerCon17
Optimizing
Your Application Architecture At The Federated Edge
Wikibon Angles April 6 2017:
Application Decay and the Burden
of Data-Driven Algorithm Training
Putting
Together A Full-Blooded AI Maturity Model
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
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