BLOG

Human Digital Twin: The digital counterpart to the human worker

By Axel Schmidt, Senior Communications Manager, ProGlove.

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BLOG

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

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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NEWS

Report highlights risk of vulnerable connected devices

Ordr has released its annual report on the state of connected devices, titled “Rise of the Machines 2021: State of Connected devices -- IT, IoT, IoMT and OT.” The 2021 report addresses pandemic-related cybersecurity challenges, including the growth of connected devices and related increase of security risks from these devices as threat actors took advantage of chaos to launch attacks.

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BLOG

Machine Learning success starts with these 10 steps

By Santiago Giraldo, Director of Product Marketing at Cloudera.

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NEWS

AWS introduces HealthLake

Amazon HealthLake enables healthcare organisations to store, transform, and query health data in the cloud using machine learning for a complete picture of patient and population health.

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NEWS

GitLab acquires UnReview

Acquisition takes first step in building GitLab’s Applied Machine Learning for DevOps .

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83% of AI decision-makers believe deep learning skills shortage is impacting their business’s...
Respondents around the world highlight the immediate need for data to drive decision-making for...
Rackspace Technology has published the results of a global survey that reveals that the majority of...
Defining open standards is essential for deploying and governing machine learning models at scale...
New Capgemini report reveals that upskilling programs help fulfil automation’s productivity...
AI analytics leader enhances scale, develops new capabilities with new deployment.
Latest Video

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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