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What Enterprise Software Delivery Can Learn From a Woman, Hackathon, and ML
Actualités, Développement IoT, InnovationWhat a special experience. An old friend and colleague, Lynn Pausic, one of the co-founders of Expero — a company with extensive experience in Machine Learning applied to complex business and technical problems — asked if I would help judge a “Machine Learning hackathon for women.” How could I say no to that?
Eight teams of women presented highly innovative and varied ideas for Machine Learning that could be applied to do good in the world, help improve and save lives, and even make home-cooking easier!
Source de l’article sur DZONE (AI)
DevOps at Nike: There Is No Finish Line
Actualités, Méthodes et organisation des process ITThe following is an excerpt from a presentation by Ron Forrester and Scott Boecker from Nike, titled “DevOps at Nike: There is No Finish Line.”
Source de l’article sur DZONE
Using AI And ML For Translation Solutions
Actualités, Développement IoT, InnovationNatural Language Processing; it’s Artificial Intelligence that learns words and patterns of words so that it can respond to human searches and questions. Siri and Alexa are examples of this technology.
And this technology is continually improving. As more and more conversations are held with these machines, they continue to learn and respond more accurately.
Source de l’article sur DZONE (AI)
Technical Debt and Supporting Prior Decisions
Développement applicatif, Méthodes et organisation des process ITRecently, I was asked to attend a session at a large corporation. The room was filled with technology-based executives, development managers, and enterprise architects. Also in attendance were a few of my peers from
Upon leaving this discussion, I found myself wondering just how many other corporations are facing this same dilemma.
Source de l’article sur DZone (Agile)
Understanding the Working of Embedded IoT Medical Devices
Actualités, Méthodes et organisation des process ITWhen it comes to the healthcare industry, providing treatment and diagnosis to remote locations where doctors are not easily available or accessible is difficult. However, with the help of IoT-enabled embedded medical devices, healthcare specialists can easily identify diseases and provide treatments in a timely manner from distant locations. This article discusses how embedded IoT medical devices can change treatment methods.
With the proliferation of IoT devices, there has been a huge transformation in terms of smart cities, connected manufacturing, wireless communication, and connected healthcare. If we talk specifically about the healthcare industry, there has been a significant revolution in terms of delivering health care services in remote locations, where doctors are not easily available. Many healthcare facilities have started adopting embedded solutions for medical devices enabled with IoT to address the lack of availability of doctors in remote areas. These IoT-enabled medical devices help identify diseases in patients and conduct different tests to provide an accurate and reliable treatment to patients in remote locations.
Source de l’article sur DZONE
5 Easy Hacks To Quickly Learn Any Programming Language
Développement applicatif, Méthodes et organisation des process ITIn today’s society, everything we do has some form of software programming involved. Whether it’s navigating through the various applications we have on our phone, browsing our favorite websites during downtime, or inputting critical data into a software at work – programming surrounds our daily interactions. As companies increasingly look for ways to cut cost and increase revenue, programmers are needed to drive this innovation and propel society into the future.
The demand for programmers is not only making the job one of the most lucrative but also one of the fastest growing over the decade – 24% projected growth over the next decade according to the Bureau of Labor Statistics.
Source de l’article sur DZone (Agile)
Python vs. R: Which Should You Choose For Your Next ML Project?
Actualités, Développement IoT, InnovationData science is all about capturing data in an insightful way, whereas Machine Learning is a key area of it. Data science is a fantastic blend of advanced statistics, problem-solving, mathematics expertise, data inference, business acumen, algorithm development, and real-world programming ability. And Machine Learning is a set of algorithms that enable software applications to become more precise in predicting outcomes or take actions to separate it without being explicitly programmed.
The distinction between data science and Machine Learning is a bit fluid, but the main idea is that data science emphasizes statistical inference and interpretability, while Machine Learning prioritizes predictive accuracy over model interpretability. And for both data science and Machine Learning, open source has become almost the de facto license for innovative new tools.
Source de l’article sur DZONE (AI)
Be an Amazing Programmer With These 5 Easy Tips
Développement applicatif, Méthodes et organisation des process ITComputer programming is the process of writing and designing instructions to build an executable computer program for accomplishing a specific computing task. It involves tasks such as analysis, flow-charting, generating algorithms, and resource consumption. It is then implemented by choosing a programming language which the computer understands, which in technical terms is called “source code”. The process of programming requires expertise on various fronts that include; knowledge of the application domain, specialized algorithms, and formal logic. The tasks related to programming include:
Testing
Source de l’article sur DZone (Agile)
Introduction to Azure Functions
Actualités, Méthodes et organisation des process ITAzure Functions
As part of Microsoft’s offer in the Platform-as-a-Service model, Azure Functions is one of Azure’s Serverless alternatives. Launched in late 2016, currently, it has two versions of runtimes available, although the version 2.x is still in preview mode. This new version is adding Java as a programming language to those supported by version 1.x — C#, JavaScript, and F#.
Azure Functions is the on-demand execution of functions or small fragments of code based on events. As the cost is associated with the execution, if the function is not executed, there are no charges to pay. And if the event that triggers the execution occurs faster than the function, the platform executes the code in multiple threads without obstacles.
Source de l’article sur DZONE
Executive Insights on the Current and Future State of Artificial Intelligence
Actualités, Développement IoT, InnovationThis article is featured in the new DZone Guide to Artificial Intelligence: Automating Decision-Making. Get your free copy for more insightful articles, industry statistics, and more!
To gather insights on the state of artificial intelligence (AI), and all of its subsegments — machine learning (ML), natural language processing (NLP), deep learning (DL), robotic process automation (RPA), regression, etc., we talked to 21 executives who are implementing AI in their own organization and helping others understand how AI can help their business. Specifically, we spoke to:
Source de l’article sur DZONE (AI)