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Tribune : Cloud, l’effet poisson rouge
ActualitésL’’effet poisson rouge‘ est un terme marketing qui décrit notre courte durée d’attention. Chez le poisson rouge, elle est de 9 secondes. Chez l’humain, elle se traduit par le court délai que nous consacrons à la prise de décision.
Une étude menée en 2015 par Microsoft a révélé que la durée d’attention moyenne des adultes est de 8 secondes. Vous noterez tout d’abord que nous consacrons moins d’attention que les poissons rouges !
The post Tribune : Cloud, l’effet poisson rouge appeared first on IT Social | Média des Enjeux IT & Business, Innovation et Leadership.
Scrum vs. Kanban: Pick One and Get on With It
Développement applicatif, Méthodes et organisation des process ITNow, as an attendee of these conferences and an enthusiastic participant in discussions on pull systems; time boxes; empirical process control; and Little’s Law, I admit that it’s satisfying to go deep into these issues. However, it’s important not to lose focus on your team, your customers, and your product. Whether you’re doing Scrum or Kanban, the day-to-day work is about a team of skilled and experienced professionals collaborating, solving problems, and trying to make a positive impact. Sometimes this goes well – people succeed in creating great things together; sometimes it doesn’t – bad products are built by a disinterested team, producing poor results.
Source de l’article sur DZone (Agile)
How to Design for (and With) Developers
Développement applicatif, Méthodes et organisation des process ITDesigners have a challenging task: Solve problems to empower users to do their best work. To understand how designers balance the demands of their roles as problem solvers with the evolving needs of an audience, I chatted with UX Manager Sarrah Vesselov about the considerations that go into designing for developers.
How Has Designing for Developers Evolved Over Time?
Generate a DOCX Report From Your Trello Board
Actualités, Méthodes et organisation des process ITI have been using the Trello board over the last few months for project management. During this period, I needed to generate reports via Word or DOCX, and among the constraints, I found that there are cards written in different languages.
In this article, I will provide a detailed Java program that can generate a DOCX report of a Trello board and translate content into a single output language, basing it on Google Translation and Cloud API Translation.
Source de l’article sur DZONE
11.5 Factor Apps
Actualités, Méthodes et organisation des process ITEach time someone talks about the 12 Factor Application a weird feeling overcomes me … Because I like the concept, but it feels awkward. It feels as if someone with 0 operational experience wrote it. And this devil is in a really small detail.
And that is Part III. Config … For me (and a lot of other folks I’ve talked to about this topic), using environment variables (as in real environment variables) are just one of the worst ideas ever. Environment variables are typically set manually, or from a script that is being executed and there’s little or trace to see fast how a specific config is set.
Source de l’article sur DZONE
Software Test Automation and AI
Actualités, Développement IoT, InnovationPushing the Bounds of What We Can Automate in Software Testing
We have this funny little tagline about how we’re pushing the boundaries of test automation. It’s a simple enough thing when you say it, but what do we really mean by it?
Recently, we were recognized by several industry analysts for the work we’ve been doing pushing those boundaries. At voke, they said, "Parasoft is a company borne of innovation with a relentless focus on software quality," and Forrester said, " Regarding AI, Parasoft has an impressive and concrete roadmap to increase test automation from design to execution, pushing autonomous testing."
Source de l’article sur DZONE (AI)
The Rise of Machine Learning
Actualités, Développement IoT, InnovationThe recent surge of data has empowered a field of computer science that uses statistical techniques to give computer systems the ability to learn: Machine Learning. Modern Machine Learning Algorithms are able to overcome strictly static program instructions and make data-driven predictions that help companies make decisions with minimal human intervention.
IDC forecasts that spending on Machine Learning will grow from $12 billion in 2017 to $57.6 billion by 2021. What’s more, Machine Learning patents grew at a 34 percent CAGR between 2013 and 2017, making it the third-fastest growing category of all patents granted.
Source de l’article sur DZONE (AI)
Assessing Quality of AI Models from QA Standpoint
Actualités, Développement IoT, InnovationIn this post, you will learn about the definition of quality of AI/Machine Learning (ML) models. Getting a good understanding of what is the high and low quality of AI models would help you design quality control checks for testing Machine Learning models and related quality assurance (QA) practices. This post would be a good read for QA professionals in general. However, it would also help set perspectives for data scientists and Machine Learning experts.
The following are some of the key quality traits that are described in detail for assessing the quality of AI models:
Source de l’article sur DZONE (AI)
ML and AI in Mobile App Development
Actualités, Développement IoT, InnovationPrimarily, Machine Learning is the part of Artificial Intelligence that brings the computer systems a greater ability to enhance and study automatically from experience. Over the past few years, it has been creating very serious waves. Very recently, the applications of smartphones and other small-screen experiences have started to take shape that drives millions of interactions with their mobile devices. More importantly, the Machine Learning platform can make your smartphone very smarter by just increasing a host of processes as well as functions instantly. In reality, many smartphones are already using some kind of Machine Learning or intelligent automation application, which helps mobile phones in becoming more effective and efficient as well.
Why Machine Learning?
Overall, the businesses are ramping up their Machine Learning investment. Traditionally, the Machine Learning needs a fabulous quantity of power in which the mobile devices simply did not have. Still now, most of the businesses can install the special chips in automobiles, drones, and also in smartphones, which enables them to consume 90% less power. In the end, these mobile devices, even without an online connection, can do a wide array of complex tasks that include:
Source de l’article sur DZONE (AI)
Start NLP with a Single Neuron
Actualités, Développement IoT, InnovationWhat Is a Classification Problem?
Classification is an important and central topic in ML, which has to do with training machines how to group together data by particular criteria. Classification is the process where computers group data together based on predetermined characteristics — this is called supervised learning. There is an unsupervised version of classification, called clustering where computers find shared characteristics by which to group data when categories are not specified.
For example:
Source de l’article sur DZONE (AI)