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.

It's a 360 degree speaker with voice recognition powered by Amazon Alexa voice service. Amazon Echo Dot has the avabilityes to play music, give news, weather, sport results, traffic and much more. It can even order pizza from Domino's Pizza.

Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans. Today, Artificial Intelligence is a very popular subject that is widely discussed in the technology and business circles. Many experts and industry analysts argue that AI or machine learning is the future – but if we look around, we are convinced that it's not the future – it is the present. With the advancement in technology, we are already connected to AI in one way or the other – whether it is Siri, Watson or Alexa. Yes, the technology is in its initial phase and more and more companies are investing resources in machine learning, indicating a robust growth in AI products and apps in the near future. The following statistics will give you an idea of growth!

With the end of the year drawing nearer, the pace of innovation in tech sees no rest as things in the IT world are moving faster than ever before. Recently Vice President and Gartner Fellow in Gartner Research, David Cearley has identified a top ten strategic technology trends for the year ahead. Artificial intelligence (AI) and advanced machine learning (ML) are composed of processes and technologies such as deep learning, natural-language processing, and neural networks. Initially started as a means to automate tasks, it's now transcended past traditional rule-based algorithms and developed into creating systems that have the ability to learn autonomously and use data to predict the future. Cearly said ""Applied AI and advanced machine learning give rise to a spectrum of intelligent implementations, including physical devices (robots, autonomous vehicles, consumer electronics) as well as apps and services (virtual personal assistants, smart advisers).

New KDnuggets Cartoon shows that a perfect Valentine's Date can be found with Data Analysis. Data Scientist: "My data analysis has identified 3 perfect Valentine Dates for me: Siri, Cortana, and Alexa." This cartoon was ably drawn by Jon Carter. See also Cartoon: Data Scientist gets 3 wishes for Valentine's Day, 2015 Cartoon: Data Scientist Valentine Day Prediction, 2014. Here are other KDnuggets Big Data, Data Mining, and Data Science Cartoons.

ONE Saturday night last year, 11 people went looking for love. Like countless speed daters before them, they met in a room draped with curtains, the lights on low. In one hand they held traditional glasses of bubbly, but in the other were sheets of paper they had filled with their personal data. This twist on speed-dating was part of an experiment run by a team at Newcastle University in the UK. They wanted to know what would happen in a world where instead of vetting potential dates by their artfully posed selfies or carefully crafted dating-site profiles, we looked at data gathered by their computers and phones.

When I completed my degree in neuroinformatics in 2005, the next career step on the same topic was to go into research or to do a PhD. The areas of machine learning, cognitive science, natural language processing, robotics and all the other parts that make artificial intelligence where academic disciplines that had not hit the broad markets yet. Most companies at that time were still struggling to find out how to use the Internet. Remember, we are talking about web 1.0 with its static web pages, wonderful blinking captions, gif-buttons and online guestbooks. Happy about achieving my master's degree, I did not feel like becoming a scientist or continuing my studies, so (by coincidence) I started doing SAP consultancy. I do not want to say bad things about R/3, but at the time, going from neural nets coding that we did at the University of Edinburgh to ABAP felt like taking a step (or three) backwards in time and technology.

In 1958, the Monotones asked, "Who Wrote the Book of Love?". If we fast forward 58 years to the present day, would the'Algorithm of Love' be a more accurate title? It is certainly a valid question; such is the popularity of the modern online dating website. Users can forego the inevitable awkwardness of blind or speed dating altogether, having found out every last detail about their date before they ever have to meet them in person. Most dating websites utilize some form of collaborative filtering or a'Netflix-style' recommendation algorithm that matches people with their potential partners based on shared interests and hobbies or mutual likes and dislikes.

Imagine you are a designer in a brainstorm meeting in Airbnb's headquarter in San Francisco. You are surrounded by posh art, brewed coffee, and hardcore liberal designers. The question on the white board is "How to make people of color feel more welcomed on Airbnb?" Imagine you are a designer working on OKCupid (or any other dating app). You open the emails from your marketing researcher and data scientist at the same time. The marketing data tell you that user likes to see bigger pictures and make a snap judgment.

Valentine's Day is widely celebrated as the day of love and friendship. It is the time of the year when people rekindle their romance, and if you don't have an ongoing one, you can use the opportunity to try and make someone your Valentine. Here are some apps that will help you find your ideal match on Valentine's Day: Hater: Compatibility is not a one-way road. Sometimes, you match up based on what you like and other times, you might even find your special someone based on something you both dislike. Hater is an app which asks users about their feelings on a variety of different topics and then does something different from what most dating apps do -- it matches people on what they dislike. According to the app's website, the most hated topics in the U.S. include slow drivers, mosquitoes, bullies, and not surprisingly, President Donald J. Trump.