“Machine learning (ML) today is frustrating. There is so much potential and the algorithms are all there, but I just do not know how I can leverage it for my organization,” says the CTO of a major professional services firm. “My CEO wants me to ‘leverage ML to lower OPEX and differentiate our service offerings, but there is nothing out there in the market that would allow me to get this done in a manner that has a high probability of success.” Then of course he asks me what I would do and where I would start, because the guy with “Machine Learning and AI” in his job title must know for sure…
Top 3 Guidelines for Leveraging Machine Learning and Artificial Intelligence to Lower OPEX and Increase Competitiveness
Topics:
Amazon Web Services
Microsoft
Artificial intelligence
AI
E-Commerce
ML
Machine Learning
Advanced Analytics
AI for Business
AIOPS
Adaptive optimization
Alexa Internet
Amazon.com
Best Practices
Boston Consulting Group
Business Insider
IT Automation
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Full Stack Container Monitoring – A Whole New Animal
Traditional IT infrastructure monitoring focuses on hypervisor hosts, storage and VMs. Application impact is tracked through vSphere resource tagging. This simple and mostly static drilldown approach to full-stack monitoring no longer works for modern microservices based computing.
Topics:
Application programming interface
Cloud Computing
Containers
VMware
Megatrends
DevOps
Machine Learning
Addition
Scale Out Architecture
Serverless Computing
Stackstate
Alexa Internet
Allen Holub
Amazon Echo
AWS Lambda
Business Defined Data Center
Cloud Administration
Container Monitoring
Coscale
Datadog
Distributed computing
Docker
Dynatrace
Kubernetes
Mesos
Monitoring
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