One of the coolest features of Allo is the ability to bring Google Assistant into any conversation. Just type @google and you can ask Assistant questions like "What's my schedule like today" or "Show me the latest Cars 3 trailer," and it will happily oblige, saving you the trouble of opening Chrome or Calendar and searching yourself. Now Google is making it easier to share that personal information with other people. First spotted by Android Police, the new feature gives you an option to send otherwise private data to your friends in an instant, but only if you allow it. For example, when you're in a chat and you ask Assistant something like, "What are my upcoming flights," or "Show me my upcoming appointments," it will now ask you if you'd like to share that information with the other people in your group.

For now, Allo is the one place where regular Android users can get a taste of Google Assistant, the AI helper that's otherwise reserved for Google's own Pixel phones. You can call on it during a chat with one or more folks, and it can do a search, set reminders and even tell a joke. Google has just given it a new trick that should make it more useful -- letting you share contacts, calendar appointments and other personal info. To use it, you just type "@google," and then tap the assistant when it pops up. You can then ask for a meeting date or airline reservation, for instance, and it will privately show you any of the information that it can find.

With Skyword's Marketing Automation integration, you can enrich lead data stored in your marketing automation system with recommended content or embed recommended content directly into email campaigns. The module tracks leads' website visits by linking Skyword visitor IDs. With this data, the module can personalize Skyword-created content suggestions and add them daily to the lead information in your database.

Amazon Echo and the intelligent assistant, Alexa, are the most interesting development in digital communications today. Unlike previously-hyped hardware such as Google Glass, Echo made a surprisingly quick entry to the market and has seen strong sales. The chart below from Business Insider shows estimated worldwide unit sales of 2.4m in 2015 and more than double that in 2016. What makes Alexa so interesting to me is not just the confluence of science fiction and reality, but the uncertainty about just how far this technology will be admitted into our lives. Most coverage of Alexa and most anecdotal user feedback (from my friends who have splashed out) suggests that the Echo is used for relatively limited functionality - chiefly, productivity and entertainment.

Not only was LEGO Batman insanely popular, it was insanely fun (and, frankly, just insane). If you haven't enjoyed it yet...you should really sneak away on your lunch break and amend that. It was the most enjoyable Bat-flick I've watched in years. And if you don't think it's for serious nerds...I challenge you to name every D-List villain in the opening scene. I've been reading comics for over thirty years and I still had to Google some of them to make sure they weren't simply made up (no, seriously, there really is a Condiment King)!

Amazon Echo, the acclaimed voice-controlled AI device, is built on the technology of a little-known British company, Evi, which Amazon acquired in 2012. Formerly known as True Knowledge, Evi was founded in 2005 by AI aficionado and entrepreneur William Tunstall-Pedoe, who wanted to develop software that accurately interpreted questions and framed more natural, conversational answers. When it reached the market in 2012, the technology, Evi 11, was positioned as a contender to Apple's Siri - although not by Tunstall-Pedoe, 47, who says he set out to build something new, not to compete. Now, 11 years after its inception, he can celebrate Evi's real-world impact. "These technologies are now good enough that they are able to create useful products that change lives and are used daily," he says.

Context awareness is one of the main advantages to RAI's technology. RAI knows that a nurse doesn't need to know javascript but may need ICU experience. The ability to be context aware makes candidates search more humanlike.

Summary: In our recent article on "5 Types of Recommenders" we failed to mention Indicator-Based Recommenders. These have some unique features and ease of implementation that may be important in your selection of a recommender strategy. A few weeks ago in the midst of our series on recommenders we published an article "5 Types of Recommenders" in which we offered our view on the primary types of recommendation engines. We got a very nice comment from Ted Dunning suggesting that we'd missed an important one, Indicator-Based Recommenders. If you ever get a note from Ted Dunning you should pay attention.

For years, marketing was considered more art than science. But more recently, as marketing automation software has proliferated, marketers have had to blend the art of storytelling with the science of data. Then along comes artificial intelligence (AI) and machine learning, which promise to help marketers make sense of all that data. Some experts believe AI's impact on marketing will be hugely significant, that it could even change the nature of marketing entirely -- enabling brands to break through the noise and deliver a more personalized experience to customers. Not surprisingly, though, there are challenges ahead for organizations seeking to add AI to their marketing technology stack.

Man-versus-machine is a false dichotomy, pitting one against the other as two discrete, antagonistic entities. Machines will free up our time so we have fewer basic tasks to complete. We have already begun to see the start of this, with the creation of digital assistants like Siri and Alexa. Furthermore, machines will enable us to reimagine what our careers and working lives look like. It s worth remembering that the 40-hour workweek is a construct with a short history it was only in 1940 that it became codified through an amendment to the Fair Labor Standards Act.