If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The world around us is changing fast. Already, all of us are increasingly relying on computers to help us with all aspects of our day-to-day lives. With the use of smart devices such as phones, tablets, watches, and TV's, computers are automating many of the processes is that help speed up and improve the way we live our lives. The science of artificial intelligence has been explored rigorously over the years in film. Movies such as Ridley Scott's Blade Runner, Steven Spielberg's AI, Stanley Kubrick's 2001: A Space Odyssey, and Ex Machina have all focused on artificial intelligence and how we humans will live alongside it.
In 2015, The Allen Institute for Artificial Intelligence -- the research organization founded by late Microsoft cofounder Paul Allen -- released Semantic Scholar, a public AI search engine capable extracting figures from over 173 million computer science and biomedicine journal papers. It received a warm reception, but researchers at the Institute wondered if its underlying algorithms might be adapted to solve other problems in the field of medical research. To this end, the Allen Institute this week launched Supp AI, a web portal that lets consumers of supplements like vitamins, minerals, enzymes, and hormones identify the products or pharmaceutical drugs with which they might adversely interact. Using a no-frills search bar, they're able to type in trade names for common drugs (e.g., Prozac and Sarafem) and names of active drug ingredients (fluoxetine) to bubble up sentences from research papers supporting interactions alongside links to each source. Supp AI not only surfaces all chemicals or drugs that might interact with a queried supplement, but it helpfully sorts the evidence sentences and prioritizes source papers based on associated metadata.
Artificial Intelligence in Digital Marketing Both the Artificial Intelligence and Digital Marketing fields are in Trend. People already started guessing the possibilities with combination of both field. Many of them have already created multiple blueprints of how AI will change the marketing domain. As it is seen in recent time that Artificial Intelligence is out ranking human beings. AI has recently found elements in Scientific research which were hidden from the mind of scientists.
"Brand Aware" explores the data-driven digital ad ecosystem from the marketer's point of view. Today's column is written by Sachin Puri, vice president of growth marketing at McAfee. Not a day passes in the marketing world without someone name-dropping machine learning and artificial intelligence in a meeting. The underlying myth is that machine learning is the ultimate solution to all things optimization, and eventually artificial intelligence will enable machines to take over all marketing jobs. Would we reach the level of marketing shown in "Minority Report" or the power of machines in "I Am Mother?"
I started writing a couple of years ago about the growing challenge marketers face in a polarized, politicized society: whether and how to meet consumers' expectations that they wade into the big social issues of the day. At the time, I knew it was a critical issue but I thought there was a good chance that it represented a moment in time that might pass relatively quickly. The pressure on brands to engage in the world around them has only grown over the past two years. Immigration, gay rights, race relations, gender disparities are only a few of the issues that have drawn brands--eagerly and reluctantly--into the swirl of controversy. CMOs must now wrestle with the dilemma of how to be relevant while managing the risk of blowback from those that don't agree with whatever position they've adopted--a certainty given the diverse and energized marketplace.
There are over 2.6 billion active social media users. Among them are your customers and potential customer. The question is, how to reach them! In today's fast-paced digital landscape, artificial intelligence can help your business create more effective marketing and social media strategies. AI can help you improve the consumer journey and change the way you attract, capture and nurture leads.
It turns out that something most humans take for granted--the ability to see, process and then act on visual input--is extraordinarily difficult to replicate in machines. That's precisely what computer vision (CV) aims to do. While perhaps not as advanced as human sight, computer vision has developed to the point it's very useful in business today. Here's more about what computer vision is and how it's used in business. What is Computer Vision And The Amazing Ways It's Used In Business Computer vision describes the process when a computer using artificial intelligence algorithms can identify and process images (photos, videos, etc.) and then create an appropriate output from the analysis because the computer can actually "understand" the content.
Although the future effects of machine learning for digital marketers are not yet fully foreseeable, they are already having an impact on the digital marketing landscape. Machine Learning Tools are able to analyze extremely large amounts of data and provide understandable analysis or results that marketing teams can use to their advantage. Companies that already use ML tools have more time to focus on other areas and use the knowledge gained to their advantage. The way machine learning is used in digital marketing practices helps to broaden the understanding of their target consumers and to foster and enhance the interaction with them. In 2017, IDC Future Scapes estimated that 75% of the development teams used some types of AI features in at least one service or application.
Artificial Intelligence (AI) and programmatic advertising can prove to be great tools for FMCG brands in garnering better customer engagement. With the use of programmatic data, brands can generate personalised content for consumers. Unlike before, with programmatic data one can also generate real-time data with respect to a consumer's walks into the store. AI will also instantly allow the brand to understand market trends which lead to better customer personalization. We at exchange4media got in touch with marketing leaders and brands to get their perspective on how the FMCG sector can leverage from AI and programmatic advertising.
This Brisbane AI startup claims to be able to predict ad creative success on various platforms with 82.4% certainty. Junction AI, artificial intelligence start-up coming out of Brisbane and Austin, Texas claims to have developed a proprietary machine learning platform that takes the guesswork out of selecting creative and copy for Google Ads, social media ads and web promotions. Ostensibly, marketers will be able to drag and drop their images and text onto the Junction AI dashboard and receive a percentage score of the probability that their promotion will convert a certain target audience. The startup says marketers, agencies and business owners can expect to predict the success of digital advertising with a confidence interval of 82.4%. The platform is currently in pre-release testing and proof trials with 12 agencies and brands in the US and Canada, with tests in the Australian market to begin soon.