Your submission was sent successfully! Close

Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates from Canonical and upcoming events where you can meet our team.Close

Thank you for contacting our team. We will be in touch shortly.Close

  1. Blog
  2. Article

on 16 December 2019

Digest #2019.12.16 –The Decade of Artifical Intelligence

AI Competing with Wall Street –  Artificial Intelligence is replacing traders on Wall Street; what used to be a busy bustling market with chatter and cold calls are now the slight hums of machines running algorithms and executing trades. The demand for people with coding skills who can train models for intelligent trading and fight fraud and security risks is on the rise. Investment banks that once called for traders and placed big bets on them are now pivoting to place their bets on people who have the math, technology, software, coding, data analytics and related skills to work along with electronic trading.

Artificial Intelligence Decade Review – 2010s was a big decade for AI, ML and robots. There were big breakthroughs, tech got cheaper, more convenient, at times more confusing. We made the machines smarter, more powerful, invited them in our homes, put them in control of minor everyday tasks, they also leaked some data at times and then we tried to control them (GDPR…). Read the full article for the decade in review for Artificial Intelligence and Machine Learning.

Reducing Maintainer Toil on Kubeflow – Maintaining Open-Source Software is hard! Kubeflow’s Github repo is seeing an exponentially increasing number of open issues and requests as it is gaining traction. To ease maintainability a bit, the team at Github and Kubeflow OSS introduced Project code-intelligence, the idea for which started out of demos for Kubeflow use-cases. If you’re interested in helping Kubeflow OSS “Help us create reports that pull and visualize key performance indicators (KPI), Github link. Ensemble repo specific and non-repo specific label predictions, Github link.

Everyday Applications of Machine Learning – Machine Learning and Artificial Intelligence have become a big part of most people’s everyday lives. From the searches on the internet to the targeted ads and your vacuum cleaner mapping out your room, AI/ML in technology is a prevailing part of our daily lives. Check out 12 applications of AI/ML that are part of some daily lives and business.

Related posts

Andreea Munteanu
17 March 2021

Kubeflow operations guide

Ubuntu Article

Operating MLOps stacks alike Kubeflow in an increasingly multi-cloud world will be a key topic as this market and Kubernetes adoption grow. Kubeflow operations webinar To discuss this topic, Canonical is holding a live webinar next week, on 23rd of March, 5PM UTC. Besides the key points listed below, the webinar will also have a ...

Rui Vasconcelos
8 March 2021

Latest community videos

Ubuntu Article

MLOps community jewels The MLOps community continues to grow and gift us with great content and discussions around the topic! Here are a couple of interesting discussions – a long one (1h) about Kubeflow, feature stores, and other platforms in the MLOps space, and a short one (3 min) on how to manage dependencies: Sneak ...

Andreea Munteanu
22 February 2021

Still figuring out what is Kubeflow?

Kubeflow Article

Kubeflow has become quite popular in the MLOps community as the tool that enables data science teams to automate their workflows from data preprocessing to model deployment on Kubernetes. However, with it’s made of many pieces, and while it keeps evolving, how can you effectively start using? Learn Kubeflow from online courses Started by ...