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Screencast: Continuous Delivery for Machine Learning With AWS CodePipeline and Amazon SageMaker
Actualités, Développement IoT, InnovationThe Amazon SageMaker machine learning service is a full platform that greatly simplifies the process of training and deploying your models at scale. However, there are still major gaps to enabling data scientists to do research and development without having to go through the heavy lifting of provisioning the infrastructure and developing their own continuous delivery practices to obtain quick feedback. In this talk, you will learn how to leverage AWS CodePipeline, CloudFormation, CodeBuild, and SageMaker to create continuous delivery pipelines that allow the data scientist to use a repeatable process to build, train, test and deploy their models.
Below, I’ve included a screencast of the talk I gave at the AWS NYC Summit in July 2018 along with a transcript (generated by Amazon Transcribe — another Machine Learning service — along with lots of human editing). The last six minutes of the talk include two demos on using SageMaker, CodePipeline, and CloudFormation as part of the open source solution we created.
Source de l’article sur DZONE (AI)
Top Technology Trends of 2018
Développement applicatif, Méthodes et organisation des process IT2017 became the Year of Intelligence: the advance of technological achievements has triggered exciting and unexpected trends with wider impact horizons and very promising business prospects. This year we expect drastic exponential changes in every technological direction. Machine learning and artificial intelligence will transform entire industries, making way for virtual helpers and a myriad of cases for automatization. The Internet of Things (IoT) will become more intelligent, uncovering a huge potential for smart homes and smart cities. A more efficient human-machine interaction will become established with natural language replacing specific commands.
In this article, we will focus on the modern trends that took off well on the market by the end of 2017 and discuss the major breakthroughs expected in 2018.
Source de l’article sur DZone (Agile)
Using AI to Understand Complex Causation
Actualités, Développement IoT, InnovationWhenever something serious happens, we usually try and determine cause and effect. What was it that caused this thing to unfold the way it did? Whilst the theory is nice, we often employ some rather dubious explanations to try and explain the series of events. Superstitions perhaps, or correlation rather than causation.
There have been attempts in the past to generate mathematical models for general causality, but they haven’t been particularly effective, especially for more complex problems. A new study from the University of Johannesburg, South Africa and National Institute of Technology Rourkela, India, has attempted to use AI to do a better job.
Source de l’article sur DZONE (AI)
Google Cloud Next Recap
Actualités, Méthodes et organisation des process ITKnative, a new OSS project built by Google, Red Hat, IBM, and others to build, deploy, and manage modern serverless workloads on Kubernetes. Built upon Istio, with 1.0 coming soon and managed Istio on GCP. It includes a build primitive to manage source-to-Kubernetes flows, that can be used independently. Maybe it is the new standard to define sources and builds in Kubernetes. Read more from Mark Chmarny.
Source de l’article sur DZONE
10 Best Websites to Learn to Code as of 2018
Développement applicatif, Méthodes et organisation des process ITCoding is vital to computers and IT. And I don’t need to be a genius to say or know this. So, what is coding, and why does it occupy a position of such preeminence to this field? Simply put, coding is a set of commands that tells your computer to do what you want it to.
You could see it as something that is told to the computer in a language and way understands it. Since it is a machine, it needs exact prompts, commands and directions to do what you want it to. Carrying this out is what coding encompasses.
Source de l’article sur DZone (Agile)
3 Big Trends Shaping the AI Ecosystem Right Now
Actualités, Développement IoT, InnovationFrom ride shares to smart power grids and from healthcare to our online lives, AI is being propelled out of labs and into our daily lives. Microsoft is betting that conservation-focused AI can save our planet, while Facebook sees it as a silver bullet for rooting out harmful content. Tesla CEO Elon Musk and the late physicist Stephen Hawking both warned society of the potential for weaponized AI.
At CA, we wanted to gain insight into how the AI Ecosystem has developed over the past year. We partnered with Quid, a San Francisco-based startup, whose platform can read millions of news articles, blog posts, company profiles, and patents — and offer immediate insight by organizing that content visually. From its global dataset of 1.8 million companies, Quid classified companies that mentioned a specific focus in "Artificial Intelligence" or "Deep Learning."
Source de l’article sur DZONE (AI)
CERTFR-2018-ALE-008 : Campagne de messages électroniques non sollicités de type Locky Locker (03 août 2018)
Actualités, Sécurité de l'information et du SI, Sécurité de l’information, Sécurité du système d’informationDepuis la fin juillet 2018, le CERT-FR constate une nouvelle campagne de courriels distribuant le rançongiciel Locky touchant actuellement la France. Les messages sont accompagnés d’un lien hypertexte encourageant à télécharger la facture d’une commande. Le taux de blocage par les …
Source de l’article sur CERT-FR
Sensu Metrics Collection
Actualités, Méthodes et organisation des process ITConsidering Sensu
When people look for metrics collection for their environment they often look towards the same few solutions like Collectd, Telegraf, etc. This is for good reason: those options provide flexible & extensible metrics collection…and so can Sensu.
Sensu works quite well for metrics. I’d like to show you how to set it up.
Source de l’article sur DZONE
Architecture 3.0: A New Era
Développement applicatif, Méthodes et organisation des process ITAt the risk of stating the obvious, we can say that IT has evolved a lot since its beginnings. From mainframe to cloud, a number of steps have been taken, technologies have appeared, and in this context it seems interesting to study the past to try to understand the future. Especially since it seems to us that the architect must and will play an increasingly important role.
We thus see three great eras emerging that we can trace from the inception of what is now called "Enterprise IT."
Source de l’article sur DZone (Agile)
Machine Learning in Social Media App Development
Actualités, Développement IoT, InnovationThe imaginary fiction in the scientific movies is now real stuff to talk on. Artificial Intelligence and Machine Learning are taking technology to the next level of advancement. Many giant companies are endeavoring to leverage this technology to understand the customer’s demands and engage for better success. Even the social marketing giant Twitter has joined the league.
Further, in a recent announcement, the company declares that they are going to use insightful Machine Learning technology to recommend tweets to its users.
Source de l’article sur DZONE (AI)