Alexa, play Sirius XM for me. The satellite radio subscription service today joins the offerings on Amazon's Echo speaker, with its 200 channels that include music, sports and talk show host Howard Stern. Sirius joins Amazon Music, Spotify, Pandora, iHeart Radio and TuneIn radio as music choices customers can request by voice. Ben Shepherd, head of Amazon Alexa music, said Sirius has been a major request from Echo owners. "It's something they really wanted to listen to," he says.

With the growing competition, the majority of the enterprises are focusing on developing a wider customer base by implementing enterprise solutions such as enterprise resource planning (ERP) and customer relationship management therefore, the growing need for improvements in customer relationship management (CRM) will provide an added impetus to the growth of the global Chatbot market during the upcoming years. However, lack of awareness, lack of expertise and the lack of a centralized system that ends up in abating the grade of continuous communication with customers resulting in a loss of customer base; those are some of the factors that may pose as hurdles to the market growth of Chatbot global market. The early adoption of technologies and high deployment costs involved in the chatbots market will have a negative impact on the Chatbot market.

Content marketing delivers outstanding engagement, but it's expensive to produce and distribute. Most challenging of all is scaling distribution of targeted content. Artificial intelligence (AI) can improve the return on investment by automating and scaling up content campaigns. Advertisers know that in today's information-overloaded environment, content marketing is one of the most effective ways to reach consumers. To produce a constant stream of quality content, some advertisers have created in-house content studios. Others turn to independent content creators or, sometimes, assign internal editors to manage a roster of freelancers.

You live, it's true, in a Golden Age of Television, and at least some of that gold comes in the form of lucky coins from leprechauns that reanimate unfaithful dead spouses. Which is to say, some of the most premium-est of premium TV right now is genre--science fiction and fantasy. Not long ago, Mad Men got the recaps, after-shows, and literary-minded critiques; now, those hosannas go to squabbling deities, swords-and-sorcery, zombies, killer robots, and raptures. It ought to be a fan's dream. Yet, the relentless grimdark of those shows, and the grinding search for Meaning, can be numbing.

Dance Dance Revolution (DDR) is a popular rhythm-based video game. Players perform steps on a dance platform in synchronization with music as directed by on-screen step charts. While many step charts are available in standardized packs, players may grow tired of existing charts, or wish to dance to a song for which no chart exists. We introduce the task of learning to choreograph. Given a raw audio track, the goal is to produce a new step chart. This task decomposes naturally into two subtasks: deciding when to place steps and deciding which steps to select. For the step placement task, we combine recurrent and convolutional neural networks to ingest spectrograms of low-level audio features to predict steps, conditioned on chart difficulty. For step selection, we present a conditional LSTM generative model that substantially outperforms n-gram and fixed-window approaches.

Deep learning is a subfield of machine learning and it comprises several approaches to tackling the single most important goal of AI research: allowing computers to model our world well enough to exhibit something like what we humans call intelligence. On a basic conceptual level, deep learning approaches share a very basic trait. DL algorithms interpret the raw data through multiple processing layers. Each of these layers takes the output of the previous one as its input and creates a more abstract representation of it. As a result, the more data is being fed into the right algorithm, the more general are the rules and features that it's able to infer in relation to a given scenario and, therefore, the apter it gets at handling new, similar situations.

Overall investment in automation technologies – including robotic process automation (RPA), autonomics, virtual customer service agents and personal assistants, natural language processing and machine learning – is expected to double in the next two years, the survey finds, as enterprises look to harness technologies that have the flexibility to solve more than one business problem. "Automation and artificial intelligence are top of mind for business executives and service providers alike – and with good reason," said Todd Lavieri, partner and president of ISG Americas. "Robotic process automation, autonomic systems and cognitive agents are making employees more productive by taking over routine, process-oriented tasks. At the same time, data scientists are using machine learning to find patterns and make predictions on vast troves of structured and unstructured data. These technologies, taken together, promise to usher in the next wave of enterprise growth and profitability."

The biggest stumbling block for the entrance of AI into newsrooms is transparency. Transparency, a basic journalistic value, is often at odds with artificial intelligence, which usually works behind the scenes. This raises ethical issues when journalists begin using AI to assist in reporting. How transparent can or should they be about the code behind the story? Does explaining technical concepts increase trust, or decrease it?

But understanding and interpreting language as humans use it is becoming a pivotal part of both machine learning and artificial intelligence.

Exactly 50 years ago today, the Monterey Pop Festival opened its gates and kicked off what later became known as the San Francisco "Summer of Love." To celebrate the anniversary, Northern Light (www.northernlight.com) is unveiling two radical innovations in strategic market research portals that it will begin delivering to customers this summer. This announcement marks the beginning of Northern Light's "Summer of Love (For Our Customers)." The innovations are embedded in SinglePoint version 11, a new release of Northern Light's strategic research platform for competitive intelligence and market research insights used by hundreds of thousands of professionals at global enterprises. Version 11 features a mobile-first, responsive user interface built with Material Design, Google's set of state-of-the art application interface principles, guidelines, and UI treatments that are becoming an industry standard for web application design.