Digitalisation World

Intelligent technology will shape the future of retail

Published in AI AI AIOps Blockchain Internet of Things Machine Learning Orchestration + Management Tools Robotic Process Automation Virtual + Augmented Reality

Amido research shows 88% of retail tech decision makers (TDMs) see the potential of the likes of AI, AR and VR as ways to increase their competitive advantage, but many are struggling trying to meet the convenience demands of consumers.

NEWS

Machine Learning & AI power data centre sector’s first software-embedded thermal advisory capability

Published in AI AI DC Facilities + Colo Design + Optimisation Energy Management Machine Learning Power & Cooling

EkkoSense has launched Cooling Advisor – a powerful machine learning and AI-powered advisory software tool that helps data center operations teams to keep their critical facilities thermally-optimized.

NEWS

86% of organisations prioritise AI and Machine Learning

Published in AI AI Machine Learning

DataRobot, the AI Cloud leader, has released a new research report on the state of artificial intelligence and machine learning (AI/ML) in the enterprise. The report findings are based on a deep exploration of over 400 organisations across industries, revealing critical insights into the common hurdles facing these organisations and the ways AI is unlocking economic growth.

NEWS

Report highlights risk of vulnerable connected devices

Published in AI Device Security Machine Learning Security + Compliance

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.

NEWS

AWS introduces HealthLake

Published in AI Big Data/Analytics-as-a-Service Cloud + MS Data Analytics Machine Learning Platform

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.

NEWS

GitLab acquires UnReview

Published in AI DevOps Machine Learning Open Source

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

Deep learning overtakes classic machine learning methods

AI experts at CognitionX and Peltarion release new report on where the value in Deep Learning (DL) lies, and where the trend for Deep Learning is moving, based on insight across industries from AI thought-leaders in Europe.

FPGA makes the grade for satellite and space applications

First to enable machine learning inference together with unlimited on-orbit reconfiguration for real time on-board-processing in space; delivers full radiation tolerance spanning all orbits.

Machine learning via managed service

Calligo launches 'world’s first' managed service to make machine learning accessible to any business.

Intelligent technology will shape the future of retail

Ziften expands its use of proprietary machine learning

Ziften’s endpoint protection platform uses proprietary machine learning in all phases of the endpoint security continuum simplifying endpoint protection across the enterprise.

Fewer than 50% of enterprises have deployed intelligent automation technology

86% of IT executives surveyed believe human work, AI systems, and robotic automation must be well-integrated by 2020 -- but only 12% said their companies do this really well today.

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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