Imagine you're stuck in a hospital bed after having surgery. You can't even close the window blinds without a nurse's help. And you can forget about requesting a blanket to take off the chill or getting details on visiting hours when everyone's busy handling more-pressing matters. But what if you got what you needed just by saying it? You could instantly open the blinds, find out more about your doctor's expertise or turn up the room temperature.

Every serious technology company now has an Artificial Intelligence team in place. These companies are investing millions into intelligent systems for situation assessment, prediction analysis, learning-based recognition systems, conversational interfaces, and recommendation engines. Companies such as Google, Facebook, and Amazon aren't just employing AI, but have made it a central part of their core intellectual property. As the market has matured, AI is beginning to move into enterprises that will use it but not develop it on their own. They see intelligent systems as solutions for sales, logistics, manufacturing, and business intelligence challenges. They hope AI can improve productivity, automate existing process, provide predictive analysis, and extract meaning from massive data sets.

Who murdered Transformers: The Last Knight? The fifth movie in the series opened last weekend to numbers that weren't simply lower than expected--they amounted to the worst opening weekend haul of the entire franchise. Apparently, four visually nonsensical films about giant robots hitting each other had been plenty for moviegoers. This being a blame-loving industry, though, the search began for exactly who was responsible for this Floptimus Prime. Don't blame the actors; the fault lies not within the stars.

This post will guide you through installing Apache Prediction IO machine learning server. We'll use one of its templates called Recommendation to build a working recommendation engine. The finished product will be able to recommend customized products depending upon a given user's purchasing behavior. You've got bunch of data and you need to predict something accurately so you can help your business grow its sales, grow customers, grow profits, grow conversion, or whatever the business need is. Recommendation systems are probably the first step everyone takes toward applying data science and machine learning.

Intended for executive leadership who are looking to better understand the implications of conversational business technologies, and need to decide where to focus time and investment in conversational interfaces. Gartner predicts that by 2019, virtual personal assistants "will have changed the way users interact with devices and become universally accepted as part of everyday life." For this report, Altimeter interviewed 24 enterprise companies, technology innovators, and other experts to gauge the potential risks and opportunities of conversational interfaces. We interviewed industry leaders to identify use cases, design principles, and strategic implications for customer experience, business models, brand strategy, and innovation. Our goal, and a focus of this report, is to help business leaders better understand the implications of conversational interfaces so they can make informed decisions about how to leverage this technology.

Our favorite outdoor security camera, the Nest Cam Outdoor, also works with Alexa and the new Amazon Echo Show. And while the camera itself is good, we really love this camera due to the Nest Aware subscription service. In the words of our reviewer, "Nest Aware totally makes this camera." The service is pricey at $100 to $300 per year, but it offers a 24/7 video backup (backing up the entirety of the footage, not just clips), notifications for people and pets, and customizable activity zones to block out areas with frequent, unimportant motion. Unfortunately, you also need the service to save and download clips, something some other cameras let you do for free.

Technology has changed the way we work, shop, bank, meet others, and even order coffee. Personalized services and intelligent assistants help us navigate choices and make informed decisions in the office, in the car and at home. But despite how advancements like machine learning, big data, ubiquitous computing, and universal connectivity have forever changed these everyday interactions, our experiences with healthcare remains stuck in a disconnected, opaque and rigid past. In healthcare today, patients are forced into the same service structures, whether they are managing a chronic condition or have encountered an undiagnosed issue. Clinicians often don't have access to useful patient data, which remains siloed within disparate sources.

Amazon's Echo lineup of smart home speakers traditionally has looked the same as any traditional speaker, but its latest update significantly shakes up Amazon's popular product lineup. The Echo Show is the newest Alexa-powered speaker for the online retailer, and unlike past models, the Show includes a touchscreen and camera. Around the web, reviewers have generally been fans of the new hybrid smart speaker though some are hesitant about its major features. Apple HomePod: Which Device Do Consumers Want? Externally, the Echo is anchored around a 7-inch display that shows information like the weather, song lyrics and menus.

Looking blindly for matches on Tinder can be tedious, but a new feature for the infamous dating app aims to make things easier. Tinder is testing an even more premium version of its Tinder Plus paid service, called Tinder Gold, that will let you scroll through people who have already liked you. Gold members opening up the app will have the option to jump to a section that shows them a grid of everyone who has already swiped right on their profile. Tinder is testing several price points for its Gold feature. Trials begin in Australia, Argentina, Mexico, and Canada this week.

Artificial intelligence (AI) holds immense promise for the business community. Its advancement, alongside other critical innovations in the Internet of Things and Big Data, is transforming how we work and live. Its real potential from a business perspective lies in its ability to unlock insight from data to influence smarter decision making. This potential is so significant that Forrester predicts that investment in AI will increase by 300% this year alone. However, AI is often misunderstood and even maligned.