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) …
Improved lead generation has been a key focus of the buzz around AI, but it's only the tip of the iceberg for B2B companies. AI-driven solutions can be a boon throughout the marketing and sales lifecycle, distilling huge swaths of data into actionable insights. AI's power to predict consumer behavior and automate aspects of the buyer's journey is helping B2B marketers make smarter decisions and improve efficiencies like never before. While that can seem frightening for marketers, there's no need to worry about robots taking their jobs. AI is actually helping sales and marketing teams do what they do best: undertake creative work and relationship-building.
The global retail analytics market is expected to grow by $5.1 billion by 2022 to an estimated $8.64 billion. This extraordinary growth will largely be driven by the use of data science in disrupting the retail sector -- changing the way retailers do business online and offline, from the way stores organise their layout to hyper-targeted and optimised pricing and offers. In the UK alone, the retail sector is worth more than £368bn, employs 2.3 million people and accounts for 1/3 of all consumer spending. Retail generates huge amounts of highly valuable data that businesses are only recently starting to utilise. However, recent reports suggest that the sector is struggling, due to changing spending habits and shifting shopping trends.
Though not as glamorous and fame-filled as your favorite singer, marketing professionals can transform themselves into marketing rock stars, finding and playing the latest and greatest harmonies to push your brand to the top of the billboard charts. How can you find the next guitar riff or sound that will enhance your rockstar capabilities? First, ask yourself: Are you currently planning your marketing campaigns for the next period? Even if you are not, you should step back and reflect if you are able measure the impact on your brand and on your customer experience. Often, external agencies have had to track the brand visibility of television content, which has been a time-consuming manual business.
These and many other insights are from the Salesforce Fourth Annual State of Marketing - Marketing Embraces the AI Revolution published last week. The report is available for download here (50 pp., PDF, no opt-in). The survey is based on interviews with 3,500 marketers worldwide conducted by Salesforce Research through a third-party survey firm in April 2017. The 3,500 respondents are full-time marketing leaders in Australia, New Zealand, Brazil, Canada, France, Germany, Japan, Netherlands, U.K., Ireland and U.S. Respondents were segmented into high-performing, moderate-performing or under-performing groups. High-performing organizations are defined as those who are "extremely satisfied" with the current outcomes realized as a direct result of their company's marketing investment.
We keep hammering away at this point here in eWEEK, and we'll do it again today: We are at an important convergence of technology here in this, the first quadrant of the 21st century. It's all here now: High connectivity bandwidths, super high-quality code and code libraries, unprecedentedly powerful processors that use less power than previous models, unlimited storage capacities, ingeniously designed mobile and stationary connected devices, a zillion types of cloud services--we could go on. We're already seeing it: the introduction of more functionality through artificial intelligence. We're seeing more AI in more apps in more places than we've ever seen before: wearables, cars, productivity apps, military, health care, home entertainment--the list is lengthy. At 2018 knocks on our doors, we present some ideas from various industry executives about what impact they believe AI and machine learning will be making on the IT business and our lives in general.
For most people, the term Artificial Intelligence (AI) conjures up science fiction scenarios as current as HBO's popular Westworld series. In the real world, to say the least, it's not quite like that. In fact, a simpler way to look at modern AI is this: AI applications use learning algorithms to understand a user's likes or dislikes through volume of usage. AI is already present in our lives, even if it doesn't look like a Westworld-style robot. For example, Siri is designed to get used to your preferences, your day-to-day schedule and other everyday tasks based on identifying patterns and processing feedback.
Artificial Intelligence (AI) has certainly been one of the hero buzz terms in digital advertising in 2017, with plenty jumping on the bandwagon, but also plenty more investing significant money and resource into what is tipped to shape the future of the industry. In a series of features reflecting on the past year and looking ahead to what we can expect in 2018, ExchangeWire invite over 100 thought leaders from across the industry to share their views. In the latest installment of the series, experts predict what we should expect from AI in 2018. "Marketers will have to start thinking seriously about deep learning. AI was the buzzword of 2017, but next year everyone will be focusing on what AI really can do.
As a digital analyst or marketer, you know the importance of analytical decision making. Go to any industry conference, blog, meet up, or even just read the popular press, and you will hear and see topics like machine learning, artificial intelligence, and predictive analytics everywhere. Because many of us don't come from a technical/statistical background, this can be both a little confusing and intimidating. But don't sweat it, in this post, I will try to clear up a some of this confusion by introducing a simple, yet powerful framework – the intelligent agent – which will help link these new ideas with familiar tools and concepts like A/B Testing and Optimization. Note: the intelligent agent framework is used as the guiding principle in Russell and Norvig's excellent text Artificial Intelligence: A Modern Approach – it's an awesome book, and I recommend anyone who wants to learn more to go get a copy or check out their online AI course.
Marketing automation and advertising technologies are often presented as the silver bullet to all your marketing needs. However, the reality is often disappointing, as messaging is targeted at predefined segments and sets of rules, falling short of actual individual user needs and wants. This isn't true personalization, as it doesn't scale to the individual, and it isn't capable of predicting the context, needs, behavior (or aberrations in behavior) of a single human being. Fortunately, with the rise of sophisticated artificial intelligence capabilities, particularly machine learning, this can all change. We're already seeing some of the more advanced players move away from formulaic segment-based messaging towards a more truly personalized way of marketing.
Artificial Intelligence From The Terminator to Blade Runner, pop culture has always leaned towards a chilling depiction of artificial intelligence (AI) and our future with AI at the helm. Recent headlines about Facebook panicking because their AI bots developed a language of their own have us hitting the alarm button once again. Should we really feel unsettled with an AI future? News flash: that future is here. If you ask Siri, the helpful assistant who magically lives inside your phone, to read text messages and emails to you, find the nearest pizza place or call your mother for you, then you've made AI a part of your everyday life.