Our industry is ever-changing. Get insights and perspective from our experts as we share our knowledge and experience on how to successfully navigate the marketing landscape.
In a decade’s time computing seems likely to take the form of AR interfaces mediated by AI, using gestures and speech for inputs and the whole world as its display. Information will be painted onto the world around you, making possible new forms of communication, creativity and collaboration. The scale of Facebook’s ambition, and the rivalries it faces, reflect a consensus that these technologies will transform how people interact with each other, with data and with their surroundings. Facebook, Google and Microsoft’s race to the future
The emergence of ChatBots could have profound implications for brand interactions with their customers, with some saying ChatBots could be the biggest digital to-do since mobile apps. Already, startups are using automated messaging to help consumers do everything from hailing cabs to paying bills. The bot explosion
Microsoft has bet big on AI, and hopefully the next round of chatbots aren’t as annoying at Clippy. Unfortunately, their release of Tay, a virtual friend via messaging apps, became a huge embarrassment after Internet trolls trained it to behave horribly. But Microsoft believes that there shouldn’t be an app for everything, because bots can interface with your computers and smartphones to make life a little easier More than a novelty.
Historically, clients and agencies have both loved to celebrate the big idea. But, the size of the idea no longer needs to be big. And, increasingly, ideas don’t necessarily have to come from the agency. As client-side brand and marketing teams evolve and the things consumers need and value change, agencies have to change as we grow, increasingly identifying how they turn great ideas into amazing products, services and experiences that people love. Moving away from the 'Big Idea' and into innovation
Basically analytics have become as important a factor to the success of a gaming company as just about any other more 'traditional' aspect. But we're still in relatively early days for this discipline - what does the future of the analytical approach hold for game developers, publishers and even players? At least for the foreseeable future, you really need that human element in any kind of analytical work that you do. Better games, better players, and AI interpretation
Through text analysis IBM’s Watson assessed personality traits of Harry Potter characters, comparing and contrasting them between the books and movies. Using the Big Five test, one of the most common measures of personality, Watson measured and ranked the characters based on extroversion, agreeableness, conscientiousness, neuroticism, and openness to experiences. See Watson’s analysis of your favorite character here.
Recommending related stories or videos is the most efficient way to increase reader engagement. For media who rely on advertising, sold on CPM or on a per-click basis, raising the number of page views per reader has a direct impact on ad revenue. Unfortunately, most of today’s news recommendation systems are lacking. Google’s DeepMind AI may change all that by focusing on five elements of news consumption. Environment, Observations, Models, Predictions and Action
After five decades, the end of Moore’s law is in sight - speed now double every 2.5 years. This does not mean progress in computing will suddenly stall, but the nature of that progress is changing. Future revolutions will be in three areas: 1. Software (AI and deep learning) 2. The cloud (networks of data centers that deliver services over the internet) and 3. New computing architecture (specialized chips optimized for particular jobs). After Moore's Law, what comes next?
One of our friends over at Razorfish has put together a nice thinkpiece about what's next for brands: predicting consumer needs via Big Data, AI, and pervasive "always listening" features in every brand app. Jeremy posits that our always-on, always-in-hand digital world has raised all of our expectations about how brands should interact with us as consumers - and that the "Know-where-I-am/Know-what-I-want" conveniences offered by the OS- and native-app-level from Google and Apple - are the kind of "just-in-time" consumers will want directly from brands. "The Next Imperative For Brands: Predicting Consumers' Needs"
Every day, it seems like we're interacting with another "bot." We're building AI-powered platforms into our products and services, and there's a lot of nomenclature flying around. Here's a handy round-up of terms, definitions, and background on machine learning, artificial intelligence and neural networks, to mention a few. Read "What Counts as Artifically Intelligent? on The Verge