For the last six years running, the most important event in cloud computing has been AWS re:Invent, where the market leader announces its latest improvements. This year, 44,000 people descended upon a very crowded set of Las Vegas venues spread across multiple hotels for breakout sessions, certification exams, a diverse expo floor, and the all-important keynotes where the newest offerings were announced.
Over the past six months I have reviewed five minimal Linux distributions that are optimized for running containers: Alpine Linux, CoreOS Container Linux, RancherOS, Red Hat Atomic Host, and VMware Photon OS. Generically known as ?container operating systems,? these stripped down, purpose built Linux distributions are not the only way to run containers in production, but they provide a base that does not waste resources on anything besides container support.
A few years ago, I was the CTO and cofounder of a startup in the medical practice management software space. One of the problems we were trying to solve was how medical office visit schedules can optimize everyone?s time. Too often, office visits are scheduled to optimize the physician?s time, and patients have to wait way too long in overcrowded waiting rooms in the company of people coughing contagious diseases out their lungs.
It is only when Data Analytics start meshing with advanced technologies like Machine Learning and Deep Learning that enterprises will reap the benefits of their analytics and Business Intelligence (BI) activities. Those technologies require well-planned Data Science principles built around business need. Such Data Science use cases are now mature enough that business owners, leaders, [?]
Google?s former HR chief, Jonathan Rosenberg recounts in his book How Google Works a story about CEO Larry Page?s response to an MBA employee?s PowerPoint product plan. Page told the MBA, ?Go sit with the engineers.?
Mention machine learning, and many common frameworks pop into mind, from ?old? stalwarts like Scikit-learn to juggernauts like Google?s TensorFlow. But the field is large and diverse, and useful innovations are bubbling up across the landscape.
The skills required by workers in the future will be very different to those of today, a new report predicts, as well as warning we need to ensure schoolkids of today learn the necessary skills for tomorrow.
The press release stated that, ?A new research report from Mercator Advisory Group titled Bringing AI into the Enterprise: A Machine Learning Primer provides an analysis of the impact machine learning will have on bank operations and payments and how it is already shifting consumer behavior. Consumers increasingly expect their smartphone will answer their questions, [?]
Machine Learning (ML) has transformed traditional computing by enabling machines to learn from data. Machine Learning algorithms have built-in smarts to use available data to answer questions. Apart from using data to learn, ML algorithms can also detect patterns to uncover anomalies and provide solutions. Insecurity environments, Machine Learning can move one step ahead of [?]
The iOS 11 launch is less than a month away. As iPhone users anxiously await Apple?s latest improvements, the pressure is on for developers to live up to the hype. What?s crucial in these final weeks is drilling down on the iOS updates that mark a fundamental shift in how consumers interact with mobile apps. As organizations aim to make a splash in the iOS market this September, the time is now to focus on the high-stakes changes that will have the most dramatic impact on consumers.
If you?re a programmer, your nervous system will scream for anything that can relieve the Programming an information system can be strenuous labor. If you?ve ever spent hours intently producing some intricately detailed textual composition, you know what I mean. And if you?re typing out mind-nu
One of the greatest threats to any business is a lack of productivity. And according to the Bureau of Labor Statistics, even with technology improvements, employees today are not necessarily more productive. IT teams in particular face technological issues that can actually hinder productivity.