Several times a day, Francesca Simon, the author of the Horrid Henry children's books, gets out her phone to check the weather – not just for where she is, but where friends and family live, where she has been on holiday, where she was brought up. I find them quite magical," she said. With about 10 locations logged, her friends make fun of her "weather porn" habit. This week, Simon discovered she shared a weather app fixation with Queen Camilla when the pair discussed a miserable summer's day at a charity event. "[Camilla] said everybody teases her … so we were laughing at our mutual obsession," Simon said. It is an obsession shared by millions. If you are going on holiday, planning a summer barbecue, worrying about your garden or suffering from hay fever, you are likely to check an app at least daily for the latest forecast. The apps give much more localised and detailed information than traditional weather forecasts, including wind speeds and the percentage chance of rain, in ...

We have global audience with over 100 languages and dialects, so all these different products have to be converted into number of different languages which can be consumed by users,

Although it may not seem like it, weather forecasts are better now than they've ever been. "Over the past 40 years, we've been adding an additional day of skill each decade," says David Novak, Director of the Weather Prediction Center at the U.S National Weather Service. In other words, forecasts made today about the weather five days from now are roughly as accurate as were weather forecasts made four days out in 2013. Government agencies, such as the U.S. National Weather Service and the U.K. Meteorological Office, run vast meteorological models on supercomputers. Improvements in forecast accuracy are mainly due to these models becoming larger, allowing them to use new sources of data and model the climate in greater detail.

Most of us don't have a favorite TV meteorologist anymore. Instead, we roll out of bed and check a weather app on our phones. When they fail--and they often do--we feel confused and almost betrayed. After all, we chose this weather app, checked it days in advance, trusted it with our plans … and the prediction it made led us astray, maybe left us soaking wet. Many professional meteorologists call weather apps "crap apps."

Technologically speaking, we live in a time of plenty. Today, I can ask a chatbot to render The Canterbury Tales as if written by Taylor Swift or to help me write a factually inaccurate autobiography. With three swipes, I can summon almost everyone listed in my phone and see their confused faces via an impromptu video chat. My life is a gluttonous smorgasbord of information, and I am on the all-you-can-eat plan. But there is one specific corner where technological advances haven't kept up: weather apps.

Many years ago, one couldn't be blamed for a car accident at night. After all, there were no headlights or streetlights to see what was coming, no traffic lights at intersections and no weather apps to warn us of bad road conditions. The impact of a traffic accident was expected to be bad because there were no seatbelts, airbags or apps to call for help. As advancements in vehicle and traffic safety have evolved, we are more accountable for anticipating what could go wrong and for using available tools to prevent it. We wear seatbelts, use airbags and rely on signals to warn us about what's ahead.

In this article, we'll learn about LUIS – Language Understanding Intelligent Service provided by Azure. We'll get into the details of how LUIS understands our natural language and then go ahead to build an app that can detect the intention of our text. We'll go through a step-by-step process to create a weather app that can identify if we are asking about the weather situation of any city and country. LUIS is a cloud-based service for understanding text which basically solves problems in the domain of Natural Language Processing and is simple to use. Moreover, it can easily be integrated with our software development processes.

The goal is to have this automation flow run everyday so you can begin to free up memory inside your brain, and become more productive. Click the "Every Day" selection, and then click continue. The next screen allows you to focus on building out the time when you want the automation flow to run. This is entirely dependent on what time you like to wake up. The next option is whether you want it to run on weekends.

Ordinarily I greet Facebook events with a big, indifferent yawn. But the Facebook F8 developer show earned my eyeballs (full video replays here). The big question is: why bother? F8's centerpiece announcements pertained to Facebook Messenger – not exactly the app enterprise IT managers are eager to incorporate. But Facebook Messenger is no longer just a place to stalk annoy your old schoolmates. With the debut of several new bot-powered Messenger services, the commercial viability of AI (artificial intelligence) services is a pressing debate.