Recreating human intelligence in an artificial way has long been the dream of scientists and film directors alike. Cinematic creations like Bladerunner's replicants and Star Wars' C3-PO are the human reproductions that spring to mind when we think about Artificial Intelligence (AI). But the reality is closer to computer-based AI like The Terminator's Skynet. In this blog, we take a look at how these advances in technology are impacting marketing and which companies are using AI to their advantage. As a marketer, you want to be as relevant to your customers as possible in order to market to them as effectively as possible.

Marketers have become more receptive to the adoption of artificial intelligence technologies, such as machine learning, and their capabilities to deliver better customer experience and marketing performance, according to new research from SEO and content performance marketing firm BrightEdge. The future of marketing is here. David Meerman Scott, who pioneered the practice, wants to give you the lowdown on how to inject your ideas into a breaking news story to get the coverage you want. The firm's second annual 2017 Future of Marketing survey reveals marketers believe in a future ruled by the likes of AI and voice search--yet, most in-house marketers and agency practitioners had done little to introduce these powerful components into their digital marketing strategy to deliver compelling customer experiences that perform. In 2018, marketer responses on the survey reveal quite different patterns of technology adoption and benefits. Most notably, this year's findings revealed 60 percent of marketers intend to use AI to develop content marketing strategy in 2018.

Modern artificial intelligence is way beyond playing chess; it has mastered Go and kicks butt in Dota 2, among other games. What started as a test-lab monkey has evolved into something akin to a prodigy child. Artificial intelligence, or AI, may still have to be fed information, but once it has gathered enough, it can come up with results that mimic the original data. First came the static images -- AI managed to create perfectly convincing images of people who have never existed. Then it showed it was perfectly capable of mimicking different seasons.

Machine learning is headed for a major growth spurt. After ticking past the $1 billion mark in 2016, the machine learning market is expected to hit $39.98 billion by 2025, according to a new report by Research and Markets. Where will all that growth come from? Machine learning was born in 1959, coined by computer scientist Arthur Samuel -- but only recently has the larger business community come to understand its value. In the next few years, it will be adopted by everyone from Fortune 500 firms to mom-and-pop shops.

While the folks at Facebook are probably ready for a break, we're highlighting all of the gaming news from GDC 2018 and preparing for next week's Apple event. 'Once you commit to a television format, you're a TV movie.'Spielberg In an interview, Steven Spielberg stated that content on Netflix should be considered television...and ineligible for Oscars. Count the apologies.Bad Password: Let's stop pretending Facebook cares Columnist Violet Blue reminds us of a critical factor in this Cambridge Analytica mess: That Facebook only pretends to care -- in the ways least affecting its business model -- isn't new. Most companies put two test drivers in each vehicle.Uber's self-driving policies, tech face questions after fatal crash While we still haven't seen a final determination of fault in the incident where a self-driving Uber SUV struck and killed a pedestrian, the New York Times points out statistics that suggest its technology isn't yet up to par with the competition.

A team of Microsoft researchers said Wednesday that they believe they have created the first machine translation system that can translate sentences of news articles from Chinese to English with the same quality and accuracy as a person. Researchers in the company's Asia and U.S. labs said that their system achieved human parity on a commonly used test set of news stories, called newstest2017, which was developed by a group of industry and academic partners and released at a research conference called WMT17 last fall. To ensure the results were both accurate and on par with what people would have done, the team hired external bilingual human evaluators, who compared Microsoft's results to two independently produced human reference translations. Xuedong Huang, a technical fellow in charge of Microsoft's speech, natural language and machine translation efforts, called it a major milestone in one of the most challenging natural language processing tasks. "Hitting human parity in a machine translation task is a dream that all of us have had," Huang said.

In honor of AI week at Taoti Creative, I thought jot down a few thoughts about where AI is taking marketing because if you're not using some form of it yet, you're going to be left in the dust. They all use deep learning, machine learning and AI technologies to personalize customer experience and make shopping easier and more immersive. Here's why: AI helps people find content they want when they want it. At the same time, it boosts PPC results so organizations can optimize where they're spending media dollars. Best of all, by personalizing what comes up on the mobile phone or computer screen, engagement goes up.

I don't use TF for its speed, I use it because it's practical. I can use the excellent Keras API to painlessly build my applications, and I know I can run them on my CPU, my GPU or the cloud with very minor changes. For a competitor to be better, being faster isn't enough, it has to be equally good in all the other important ways as well.

Social networking sites such as Twitter have provided a great opportunity for organizations such as public libraries to disseminate information for public relations purposes. However, there is a need to analyze vast amounts of social media data. This study presents a computational approach to explore the content of tweets posted by nine public libraries in the northeastern United States of America. In December 2017, this study extracted more than 19,000 tweets from the Twitter accounts of seven state libraries and two urban public libraries. Computational methods were applied to collect the tweets and discover meaningful themes. This paper shows how the libraries have used Twitter to represent their services and provides a starting point for different organizations to evaluate the themes of their public tweets.

CDs and vinyls are outselling digital downloads for the first time since 2011 thanks to streaming services, industry figures reveal. Apps like Spotify and Apple Music have seen an astronomical rise in popularity in recent years and this has all but destroyed the digital download market. As more people choose to stream music rather than own it, sales of physical media are now falling at a slower rate than their digital counterparts. This has been driven, in part, by a resurgence in vinyl sales among audiophiles, who prize the format's unique sound. CD's and vinyl copies of music are outselling their digital counterparts for the first time since 2011.