Via Facebook Messenger or text you can engage And Chill, where it will ask you to tell it a particular movie you enjoyed and why you liked it. The bot will analyze your reasoning and use the data it receives to recommend films in the same vein as the one you stated a preference for. The science behind it all isn't so readily shared by the startup itself, but it "uses a few different frameworks to detect patters, attributes, and other factors" to work its magic. At the time of this post And Chill is under some heavy load, promising it "won't be long" for a response, but to expect delays. I wasn't actually able to get a recommendation due to said delays (I waited 20 minutes for a response) but it looks from other user reviews it's offering some decent suggestions here and there.

June 2, 2016, 8:14 AM From Amazon Echo to Google Home, the biggest technology companies are betting big on virtual assistants powered by artificial intelligence. Google CEO Sundar Pichai predicts "we will move from mobile-first to an AI-first world."

Apple Inc. (NASDAQ: AAPL) is hosting its annual Worldwide Developer Conference (WWDC) on June 13-17 in San Francisco, and RBC expects Siri to hog the limelight this year, along with extensive OS upgrades and potential macbook pro refresh. Siri SDK & More: "Expect AAPL to showcase Siri SDK for 3rdparty developers to expand use cases for Siri and lay groundwork for a wifi-enabled personal assistant (Like Amazon Echo)." "We expect a more robust integration of various OS's across AAPL's ecosystem, with Siri taking the center stage in terms of integration," Amit Daryanani wrote in a note. For example, MacOS is expected to get Siri integration to further drive usage of Apple's voice assistant. Daryanani expects some discussion on integrating VocaIIQ (Apple's acquisition in late 2015) and laying the groundwork to launch a more comprehensive artificial intelligence-powered personal assistant device.

According to Pew Research Center's analysis of comScore data, at the start of 2015, 39 of the top 50 digital news websites have more traffic to their sites and associated applications coming from mobile devices than from desktop computers. This fact is self -explanatory why service providers are moving towards news app. More and more apps are being launched worldwide each one claiming to be exclusive and original. But the truth is they are not, especially news apps. With the abundance of data being generated every second, there has been an excess of information.

Artificial intelligence, especially machine learning, is an integral part of marketing nowadays. Estimating the price to sales ratio, or price elasticity, is hard with many products and factors that impact sales. Dynamic price optimisation using machine learning can help. It can correlate pricing trends with sales trends by using an algorithm. It can then align other factors such as category management and inventory levels.

Advances in technology are setting the stage for financial institutions to explore use cases that take advantage of a consumer's most natural communication method ... the voice. It wasn't so long ago that we were amazed that we interact with an IVR to solve basic customer service issues or that we could type on a piece of glass to communicate with our mobile device. The problem was that most IVR systems didn't learn about our needs over time and typing and gesturing is really not the most efficient way to interact with a computer or device for the vastly most common uses most people have. Even for the most basic routines require far more physical and mental effort than what should be required in today's digital age. What if each time you needed to reach out to your bank (or any other business) the organization remembered your entire history of interactions (needs, behaviors, preferences, transaction patterns and timing, etc.), allowing it to have an intelligent'conversation' without going over often repeated steps?

You may not know it, but machine learning is all around you. When you type a query into a search engine, it's how the engine figures out which results to show you–and which ads. When you read your email, you don't see most of the spam because machine learning has filtered it out. Go to Amazon to buy a book or Netflix to watch a video, and a machine-learning system helpfully recommends some others you might like. Facebook uses machine learning to decide which updates to show you, and Twitter does the same for tweets.

Siri may be the first mainstream digital assistant, but it's still the butt of many jokes now that it's been bested by just about all of Apple's biggest competitors. Siri's intelligence and responsiveness often lags behind Amazon's Alexa or Google Now. And the competition shows no sign of giving up its lead. Google made a bunch of splashy AI-related announcements at its I/O conference last month. And Amazon's CEO Jeff Bezos said at the Recode conference this week that there are more than 1,000 employees working on Alexa and the Echo speaker.

How much time do you waste looking for that one file, email or attachment? Maybe you remember when you last opened it, who you were with or where you worked on it, but not much else? Ask for what you want – by typing or speaking out loud – using natural language. REACHit for Cortana will find your photos, documents, and emails faster than you can, and with a lot less stress. We'd like to thank our Beta testers for helping make our app great!

Where else but the Code Conference can you expect to hear from the Tech industry's biggest players like Amazon founder Jeff Bezos and Google CEO Sundar Pichai? Corrections & Clarifications: An earlier version gave the wrong year Amazon won Emmys for Transparent. Speaking to the Code conference here, Bezos, whose company has a hit on its hand with the Echo connected speaker, said, "it's hard to overstate how big of an impact this will have on society over the next 20 years. It doesn't mean phones are going to go away or that voice actions will replace screens. As long as people have eyes, they have screens."