“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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InterConnect 2017 – Showing off a whole New IBM
"Today, a dev team leveraging Kubernetes containers can get a cloud app up in minutes." This statement by Arvind Krishna, IBM’s GM for Hybrid Cloud, at the beginning of his InterConnect 2017 keynote should have received a lot more recognition than it did. This one sentence shows the fundamental shift in IBM’s strategy, away from the old Tivoli-centric IT ops company and toward a modern DevOps-focused organization that is looking for differentiation up the stack. Today’s IBM encourages developers to deploy entire application environments without IT administrators even being aware.
Topics:
Application programming interface
Google
IBM
Internet of Things
Amazon Web Services
Cloud Computing
Containers
VMware
IoT
Microsoft
Open source software
Systems Management
Artificial intelligence
Megatrends
Storage Automation
Machine Learning
Scale Out Architecture
Serverless Computing
Amazon.com
AWS Lambda
Blockchain
Business Defined Data Center
Cloud Administration
InterConnect
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