Predictions for Edge Computing in 2019
More turbulence is coming to the big-data analytics market
in 2019
Predictions for Artificial Intelligence in 2019
Key enterprise cloud trends for 2019
At KubeCon, the Kubernetes community discusses its growing pains
At KubeCon, serverless, mesh and DevOps announcements dominate
Kubernetes open-source project matures as commercialization
accelerates
The intensifying battle between AWS and Oracle for
enterprise database supremacy
The Smart Object Ecosystem Is The New AI Workbench
Robots will rule the edge: At re:Invent, AWS drives a new AI
paradigm
What’s missing from Outposts, AWS’ latest hybrid cloud
announcement
As re:Invent conference wraps, AWS keeps getting stronger in
the cloud
Deeper into cloud data: AWS launches a blitz of innovative
AI offerings at re:Invent
Reinforcement learning comes into AI’s mainstream
All around the cloud: Here's everything AWS has announced so
far at re:Invent
Using Blockchain to Support Trustworthy Transactions on the
IoT
How containerization brings AI to your DevOps pipeline
On
the cusp of AWS re:Invent, the public cloud continues to transform the public
sector
The Unsettling Persistence of Cybersecurity Vulnerabilities
in the Cloud
Oracle confronts growing challenge from AWS in the cloud
AI Drives Innovation in
Next-Generation Cloud Business Intelligence
Mitigating AI’s Many Risks to Society
As
AWS re:Invent approaches, AI becomes the killer app for public cloud
Doing a Reality Check on GPU-Accelerated Databases
Building the Hybrid Serverless Multiclouds of the Future
Kubeflow Shows Promise in Standardizing the AI DevOps
Pipeline
How AI, IoT, and Other Technologies Will Need to Coalesce
into Comprehensive Counterdrone Defenses
At Boomi World, New Accelerators for Connected Business in
the Cloud
Microsoft and IBM Come to the Center of All Things Open
Source
Looking ahead to AWS re:Invent, public clouds keep gaining momentum
Building Algorithmic Protections Against Engineered
Political Opinions
With Red Hat, IBM expands its focus on cloud-native
development for multiclouds
OpenWorld 2018 wrap: Oracle struggles to grow its
cloud business, but AI-driven apps set it apart
Oracle’s
self-driving vision is comprehensive but still disjointed and incomplete
At OpenWorld, Oracle extends AI throughout its
‘self-driving’ cloud solutions
Oracle helps users curate their way through the growing
open-source cloud stack
Curating the Production-Grade Cloud-Native Computing Stack
How the Turing GPU will revolutionize immersive AI
Trying to keep from sinking under the squirming, sprawling, overstuffed stack of cloud-native computing projects
The Coming Wave of Regulation over Facial Recognition
Kubernetes Is a Prime Catalyst in AI and Big Data’s
Evolution
Building Resilient Data Multiclouds
Expert Interview (Part 3): James Kobielus on the Future of
Blockchain, AI, Machine Learning, and GDPR
Expert Interview (Part 2): James Kobielus on Blockchain’s
Sweet Spot in Practical Business Use Cases
Expert Interview (Part 1): James Kobielus on Separating Blockchain
Hype from Reality
How to solve AI’s reproducibility crisis
Device-as-a-Service Will Power the Access Economy
Here are the top VMworld 2018 takeaways from Wikibon’s
analysts
Why gaming AI won’t help make AI work in the real world—but
could
At VMworld, VMware and Dell drive conversation on evolving
virtualization from cloud to edge
On VMworld day two, VMware and Dell turn virtualization into
tangible opportunities in edge computing
On VMworld day one, VMware goes deep on multicloud
virtualization
Building AI Optimization Into Your Cloud Computing
Infrastructure
Eliminating Performance Bottlenecks on Web-Based AI
Looking ahead to VMworld: Virtualization drives clouds to
the edge
As VMworld nears, virtualization disrupts the cloud application
ecosystem
Ahead of VMworld, virtualization confronts the cloud
How ‘AIOps’ is optimizing cloud computing up and down the
stack
Analysis: Google puts Kubernetes at the center of its cloud
application push
Powering AI: The explosion of new AI hardware accelerators
The Pain of Watching AI Become A Pawn in the Geopolitical Fray
How Clouds Will Crystallize Around Blockchain
What Does It Mean to Certify an AI Product as Safe?
Hadoop’s star dims in the era of cloud object data storage
and stream computing
Developing Next-Generation Applications for the Augmented
Browser
How AI is teaching robots to speak fluent human
MongoDB Drives NoSQL More Deeply into Enterprise
Opportunities
Doing Computer Vision Without Cameras
Machine Teaching Will Drive Crowdsourced Cognition into the
AI Pipeline
Benchmarking the Full AI Hardware/Software Stack
Sorry, but blockchain databases are just not that secure
At DataWorks 2018, Hortonworks Accelerates Its Shift Toward
Public Cloud Deployments
Principles versus profit: AI and the fate of the planet
Waiting for blockchain hype to subside and data platform
incumbents to play their hands
Stream computing transforms businesses into digital dynamos
Apple seems to be losing its capacity to innovate
Databricks goes well beyond Spark into complex, multicloud
AI pipelines
Microsoft’s GitHub takeover sends shockwaves through the
open-source developer ecosystem
Machine learning is becoming a strategic perimeter for GDPR
compliance
AI is becoming the nucleus of intelligent apps for robotic
process automation
Securing the ‘internet of things’ from edge to edge
Now that GDPR’s regulatory hammer has officially come down,
what’s your next step?
The fiction of ‘digital wellness’—and the truth of digital
dependence
Chef extends DevOps deeper into Kubernetes multiclouds
Informatica keeps the momentum rolling in hybrid cloud
management
https://siliconangle.com/blog/2018/05/23/informatica-keeps-momentum-rolling-hybrid-cloud-management/
Debiasing Our Statistical Algorithms Down to Their Roots
Pushing AI performance benchmarks to the edge
Hybrid clouds: building out orchestration, middleware,
DevOps and management tooling
Blockchain startups are trying to grab a piece of the video
streaming market
How client-side training is moving from the fringes to the
center of AI development
Crossing the uncanny valley without losing our grip on AI’s
value
Blockchain isn’t ready for enterprise primetime. Here’s what
will get it there
Anything but artificial, AI is evolving into anticipatory
intelligence
The big takeaway at I/O: Google updates its mobile AI
roadmap
Everything from Build: Microsoft drives AI further into the
edge, security to the forefront
The challenge of finding reliable AI performance benchmarks
Ensuring Iron-Clad Algorithmic Accountability in the GDPR
Era
Giving the IoT the Power to Pay Attention on Our Behalf
How now, smart browser? AI takes up residence on the web
client
Serverless computing takes a big step into the multicloud world
AI is driving the evolution of hyperconverged cloud
infrastructure
Human jobs will remain in AI’s loop
Graphing the sensitive boundary between personally
identifiable information and publicly inferable insights
AI’s automation flywheel spins greater human productivity
GDPR may well kill enterprise blockchain databases
Bringing probabilistic programming into AI development
The militarization of AI is coming. Can tech companies (and
the rest of us) live with it?
Networked digital twins are coming to industrial blockchains
Wikibon’s 2018 Big Data and Analytics Vendor Profiles
What will it take to bring blockchain to the masses?
AI Infuses the Next Generation of Web Application
Development
Attackers can fool AI programs. Here’s how developers can
fight back
Big-data stewardship takes the main stage at DataWorks
Summit in Berlin
Why more tech companies should put AI visionaries in the
executive suite
New solutions help enterprise data managers cope with GDPR’s
heavy hand
AI powers the catalogs of next-generation big data
New AI systems on a chip will spark an explosion of even
smarter devices
From Amazon to Umbo, big computer vision advances are coming
to the edge
Via Sovrin, IBM supports user-centric global identity on
blockchain
Can graph databases fulfill the hype? No one will know until
AWS’ Neptune arrives
Blockchain Starting To Feel Its Way into the Artificial
Intelligence Ecosystem
How Hortonworks is weathering the big-data market’s shift
away from Hadoop
With recent announcements, Nvidia and Adobe put AI in the
hands of creative professionals
Autonomous digital twins at the network’s edge: thoughts
about SWIM.AI’s announcement
The AI compilation wars: Intel, Google, Microsoft, Nvidia,
IBM and others arm for deep learning acceleration
Cloudera has trouble shifting toward a total focus on the
cloud era
With new Google investments, TensorFlow is now AI’s leading
development framework
Neuroevolution Will Push AI Development to the Next Level
Pure Storage, NVIDIA, and the AI Market’s Shift Toward
Workload-Optimized Hardware Platforms
Oracle Brings Artificial Intelligence Into Their Data
Management Toolchain
How AI can help solve the ‘fake news’ problem
AI’s Absorption into the Mainstream Web App-Dev Ecosystem:
How AT&T, Tech Mahindra, IBM, and Others are Pushing the Bar
Where to Next for Kinetica, MapD, SQream, and other GPU
Database Vendors?
Cryptocurrencies and Nvidia’s Hopes for a Robust GPU Market
AI Democratization: IBM, Deep Cognition, and Cloudera
HPE Doubles Down on AI
AI is shaking the application market to its core
IBM Rolls Out Sophisticated Cloud AI Offerings at Think 2018
Google and the Maturation of AI Best Practices
The Importance of Microsoft’s Deep
Learning “Rosetta Stone”
The Evolution Away from Conversational User Interfaces
On Cloud-based AI. Q&A with James Kobielus
Big data analytics: The cloud-fueled shift now underway
The cloud could finally lift the fortunes of big data
analytics
Wikibon’s 2018 Big Data Analytics Trends and Forecast
‘Augmented programming’ will make developers more productive
Wikibon Trip Report: The Unisys Brand Gains New Life in a
Cloud-Everything World
Augmented Programming Brings Machine Learning Into The
Development Toolchain
Making AI Safe for Civilized Society
Data Portfolio Management Puts Catalogs at the Forefront of
Enterprise Curation
How AI and IoT will influence data management in 2018
What is deep reinforcement learning? The next step in AI and
deep learning
Automated Machine Learning: Assessing Available Solutions
Automated Machine Learning: Accelerating Development and
Deployment of Statistical Models
Expert Interview (Part 2): James Kobielus on Reasons for
Data Scientist Insomnia including Neural Network Development Challenges
Expert Interview (Part 1): Wikibon’s James Kobielus
Discusses the Explosive Impact of Machine Learning
Low-Cost AI Chipsets Will Take the Mobility Market by Storm
in 2018
Machine learning models require DevOps-style workflows
Serverless, containers shape future of cloud computing
Local AI Inferencing Will Become Standard In Edge
Applications In 2018
Developers Will Adopt Sophisticated AI Model Training Tools
in 2018
