Digitalisation World

By Joe Baguley, VP & CTO EMEA, VMware.

Machine Learning - success starts with these 10 steps

Published in AI Everything AI Machine Learning

“Machine Learning (ML) can take an organisation’s digital transformation to new heights” — It’s a statement we hear time and time again, but in practice, it doesn’t achieve that warm and fuzzy turn-key transformation feeling the statement asserts. By Santiago Giraldo, Director of Product Marketing at Cloudera.

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Human Digital Twin: The digital counterpart to the human worker

Published in AI Everything AI Machine Learning

By Axel Schmidt, Senior Communications Manager, ProGlove.

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Limiting the use of Machine Learning & Artificial Intelligence for better results

Published in AI Everything AI Machine Learning

Machine learning (ML) has been often touted as the big thing that can solve nearly every problem. ML hype has washed over all walks of life - from business to academia. However, it has caused tunnel vision as businesses try to apply machine learning to context where other solutions would work better. By Juras Juršėnas, Chief Operations Officer at Oxylabs.io

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Machine Learning success starts with these 10 steps

Published in AI Machine Learning

By Santiago Giraldo, Director of Product Marketing at Cloudera.

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Three reasons why machine learning and artificial intelligence projects fail - and how to avoid them

Published in AI AIOps Everything AI Machine Learning

By Gaurav Bajaj, Vice President at Secondmind.

LinkedIn Automates All of the Easy Things, and Makes all of the Hard Things Easy

Hear LinkedIn’s senior SRE, Todd Palino, share how the company continually improves the state of its infrastructure, so that the developers who are rolling out applications have a framework that they can do it within, and they can do it safely. LinkedIn currently generates over 50 terabytes a day of unique metrics on applications. No human is going to look at 50 terabytes a day of data and get anything useful out of it, so LinkedIn relies on systems give them some useful signal out of all that noise. By moving down the road of machine learning, LinkedIn can now do anomaly detection using machine learning models.

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Machine Learning

Scared of ML or AI? They’re probably the technologies that will improve your security

Machine Learning - success starts with these 10 steps

Human Digital Twin: The digital counterpart to the human worker

Limiting the use of Machine Learning & Artificial Intelligence for better results

Machine Learning success starts with these 10 steps

Three reasons why machine learning and artificial intelligence projects fail - and how to avoid them

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LinkedIn Automates All of the Easy Things, and Makes all of the Hard Things Easy