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Blog posts tagged
"machine learning"

Rui Vasconcelos
23 April 2021

What is KFServing?

AI Article

TL;DR: KFServing is a novel cloud-native multi-framework model serving tool for serverless inference. A bit of history KFServing was born as part of the Kubeflow project, a joint effort between AI/ML industry leaders to standardize machine learning operations on top of Kubernetes. It aims at solving the difficulties of model deployment to ...

anastasiavalti
13 April 2021

Telecom AI: a guide for data teams

Telecommunications Article

Data is the new oil, and Artificial Intelligence is the way to monetize it. According to an IDC report, Artificial Intelligence (AI), alongside 5G, IoT, and cloud computing, is one of the technologies reshaping the telecom industry. From data-driven decisions to fully automated and self-healing networks, AI developments are accelerating i ...

anastasiavalti
13 April 2021

Security at the Edge: hardware accelerated AI-based cybersecurity with Canonical Ubuntu and the BlueField-2 DPU

AI Article

During GTC last fall, NVIDIA announced an increased focus on the enterprise datacenter, including their vision of the datacenter-on-a-chip. The three pillars of this new software-defined datacenter include the data processing unit (DPU) along with the CPU and GPU. The NVIDIA BlueField DPU advances SmartNIC technology, which NVIDIA acquire ...

Maciej Mazur
5 April 2021

Ubuntu for machine learning with NVIDIA RAPIDS in 10 min

AI Article

10 minutes tutorial on how to set up Ubuntu for machine learning, data science and data analytics using NVIDIA RAPIDS, NGC Containers and Anaconda. ...

Rui Vasconcelos
2 July 2020

Building Kubeflow pipelines: Data science workflows on Kubernetes – Part 2

AI Article

This blog series is part of the joint collaboration between Canonical and Manceps. Visit our AI consulting and delivery services page to know more. Introduction Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is a part of the Kubeflow project that aims to reduce the complexity and time involv ...

Adi Singh
25 June 2020

Open source holds the key to autonomous vehicles

Internet of Things Article

A growing number of car companies have made their autonomous vehicle (AV) datasets public in recent years.  Daimler fueled the trend by making its Cityscapes dataset freely available in 2016. Baidu and Aptiv respectively shared the ApolloScapes and nuScenes datasets in 2018. Lyft, Waymo and Argo followed suit in 2019. And more recently, a ...

Rui Vasconcelos
24 June 2020

Demystifying Kubeflow pipelines: Data science workflows on Kubernetes – Part 1

AI Article

Kubeflow Pipelines are a great way to build portable, scalable machine learning workflows. It is one part of a larger Kubeflow ecosystem that aims to reduce the complexity and time involved with training and deploying machine learning models at scale. In this blog series, we demystify Kubeflow pipelines and showcase this method to produce ...

Alex Cattle
1 April 2020

Accelerate AI/ML workloads with Kubeflow and System Architecture

AI Webinar

AI/ML model training is becoming more time consuming due to the increase in data needed to achieve higher accuracy levels. This is compounded by growing business expectations to frequently re-train and tune models as new data is available. The two combined is resulting in heavier compute demands for AI/ML applications. This trend is set t ...

anaqvi
16 September 2019

Digest #2019.09.16 – The State of AI and ML

Ubuntu Article

Machine Learning and AI in 2019: A recent survey conducted by Dresner Advisory Services shows Machine Learning and AI to rank as highest priority for enterprises. R&D, Marketing, Sales, Insurance, Fintech, Telco, Retail and Healthcare enterprise rank machine learning as their biggest bet and believe it is critical to their success. “2019 ...

Alex Cattle
10 September 2019

Machine Learning Operations (MLOps): Deploy at Scale

Cloud and server Webinar

Artificial Intelligence and Machine Learning adoption in the enterprise is exploding from Silicon Valley to Wall Street with diverse use cases ranging from the analysis of customer behaviour and purchase cycles to diagnosing medical conditions. Following on from our webinar ‘Getting started with AI’, this webinar will dive into what succe ...

Alex Cattle
25 July 2019

Getting started with AI

Cloud and server White paper

From the smallest startups to the largest enterprises alike, organisations are using Artificial Intelligence and Machine Learning to make the best, fastest, most informed decisions to overcome their biggest business challenges. But with AI/ML complexity spanning infrastructure, operations, resources, modelling and compliance and security, ...

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