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.

When it comes to the EU Commission's decision to fine Google €2.42 billion for breaking competition law, the cash is just a distraction. The EU's larger goal is to position itself as an antidote to Silicon Valley's winner-takes-all attitude, and reshape our interactions with the world's tech giants. The hefty sum – the largest ever doled out by the EU's competition regulators – will sting in the short term, but Google can handle it. Alphabet, Google's parent company, made a profit of $2.5 billion (€2.2 billion) in the first six weeks of 2017 alone. The real impact of the ruling is that Google must stop using its dominance as a search engine to give itself the edge in another market: online price comparisons.

But new UC Berkeley research suggests that Siri and other digital helpers could someday learn the algorithms that humans have used for centuries to create and understand metaphorical language. Mapping 1,100 years of metaphoric English language, researchers at UC Berkeley and Lehigh University in Pennsylvania have detected patterns in how English speakers have added figurative word meanings to their vocabulary. The results, published in the journal Cognitive Psychology, demonstrate how throughout history humans have used language that originally described palpable experiences such as "grasping an object" to describe more intangible concepts such as "grasping an idea." "The use of concrete language to talk about abstract ideas may unlock mysteries about how we are able to communicate and conceptualize things we can never see or touch," said study senior author Mahesh Srinivasan, an assistant professor of psychology at UC Berkeley. "Our results may also pave the way for future advances in artificial intelligence."