The healthcare industry has been around for millennia. Although much has changed in the way it currently functions, it needs to transform into something better to serve the sick. To put it in simpler terms, the healthcare industry needs a new nervous system to function efficiently. This is where artificial intelligence comes into the picture. In healthcare, artificial intelligence has seen a consistent rise in adoption.

Home security cameras have a couple of ways of maximizing the amount of room real estate they can cover. Ultra-wide angle lenses are the most common solution, but they often cause distortion as they squeeze the image to fit. Cameras with motorized pan-and-tilt features let you sweep the room, but this leaves you turning your back on one part of a room to see what's happening in another. The Guardzilla 360, as its name suggests, pulls off the neat trick of monitoring an entire room all at once. The Guardzilla 360 uses the same pyramid design as the original Guardzilla All-In-One HD Security Camera, but this model is equipped with 1712p HD camera on the top pointing up.

Personalized experiences are a hot topic these days. Certain types of businesses have become very skilled at delivering personalized service. Think about a hotel you've stayed at before that welcomes you back and remembers that you liked a certain type of pillow, a specific newspaper and a corner room. The experience is becoming more and more common, and this type of service is crossing over into many other industries, especially retail. When a customer walks into a retail store, the salesperson has two choices: simply ring up a purchase, or truly help the customer get what he or she really needs.

The spread of Alexa, Siri, Google Assistant and Samsung's Bixby is changing the way consumers interact with technology. Behind the scenes, artificial intelligence is doing more than ever to handle and protect payments.

Just in time for the impending release of its higerh-fidelity Google Home Max smart speaker, Google has given its Home app a makeover, bringing advanced audio settings, smarter search, and better navigation. Anyone who owns an Assistant or Chromecast device knows how easy it is to set it up using the Home app, but now Google is giving us a reason to open more often. The entire app has been redesigned, with a clean aesthetic and more intuitive navigation. For example, when you want to find a movie or song, the search bar is at the bottom of the screen, just like it is on the new Pixel phones. The new Google Home app has audio controls, in-app movie trailer casting, and smarter search.

Google Home is becoming all sorts of useful. You can already use the family of smart speakers along with Chromecast to control your Spotify and Netflix accounts, watch CBS All Access and CW television shows, and manage YouTube's live TV service. Now, Google is updating the Google Home app with a new, more useful layout, recommended streaming content, a better search system, redesigned controller interfaces and even movie trailers. The updated app is available today in the Google Play store; the iOS app was apparently updated a few days back. The updates are all aimed at making the Home experience just a bit more intuitive, like putting important navigation buttons at the bottom of the app's screen.

You no longer have to be picky about which voice assistant you use to steer Ecobee's smart thermostats. Google Assistant now offers control over Ecobee3 and Ecobee4 models, letting you tweak the temperature from your phone or an Assistant-equipped speaker like those in the Home lineup. It's a relatively simple addition, but it means that Ecobee's thermostats now respond to voice commands from three of the major voice assistants (Alexa, Assistant and Siri) in some capacity -- sorry, Cortana fans. The move gives Ecobee an edge over Nest's thermostats, which already had Alexa and Google Assistant support but still lacks the native HomeKit support it would need for Siri. You don't necessarily want to pick a thermostat just for its voice input options.

This could help you in building your first project! Be it a fresher or an experienced professional in data science, doing voluntary projects always adds to one's candidature. My sole reason behind writing this article is to get your started with recommendation systems so that you can build one. If you struggle to get open data, write to me in comments. Recommendation engines are nothing but an automated form of a "shop counter guy". You ask him for a product.

From online services like Netflix and Facebook, to chatbots on our phones and in our homes like Siri and Alexa, we are beginning to interact with artificial intelligence (AI) on a near daily basis. AI is the programming or training of a computer to do tasks typically reserved for human intelligence, whether it is recommending which movie to watch next or answering technical questions. From small cities in the US to countries like Japan, government agencies are looking to AI to improve citizen services. While the potential future use cases of AI in government remain bounded by government resources and the limits of both human creativity and trust in government, the most obvious and immediately beneficial opportunities are those where AI can reduce administrative burdens, help resolve resource allocation problems, and take on significantly complex tasks. For many systemic reasons, government has much room from improvement when it comes to technological advancement, and AI will not solve those problems.

It seems businesses these days are pinning their hopes on artificial intelligence to finally make bank from big data -- and this hasn't escaped the notice of software vendors. They're stamping AI on new products with such repetitive thuds, one can easily guess the puff inside the packaging. Knowing what AI can and can't do could help companies shop wisely for technology that delivers on its promise. "Cognitive organizations are not going to happen tomorrow morning," said Tripp Braden (pictured, third from left), executive coach and growth strategist at Strategic Performance Partners. A cognitive business would be fully data and AI-driven across all departments; even companies on the cutting edge are several years out from becoming one, he added.