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) …
Machine learning and artificial intelligence will take over mundane tasks across the enterprise, freeing people up for more strategic activities. In preparation, more organizations will "press pause" to ascertain their readiness across three dimensions: processes, systems, and talent. All need to be optimized to ensure ROI. Processes: Outdated processes or ad hoc approaches prevent a customer-first view that allows delivery of highly customized, contextual experiences regardless of channel or touchpoint. Multiple studies from organizations like Cisco, Mercer, and Deloitte indicate that this is the year companies plan to revisit how they collaborate across functions and teams.
As the calendar flips from 2017 to 2018, Chief Marketing Officers (CMOs) continue to witness a paradigm shift from traditional vendor-led customer experiences to ones where clients are firmly in the driver's seat. Building and executing strategies that empower customers, including mobile, personalization, customer self-service and omni-channel commerce, has never been more important -- and AI is helping to make it not only possible, but a competitive imperative. More than any other factor, rising customer expectations are driving change at an almost unimaginable scale. Early adopters of artificial intelligence (AI) are helping CMOs not only meet these challenges but also gain an edge over their more pragmatic, "wait and see" competitors. That could spell the beginning of the end for laggards, and the end of the beginning for leaders in the application of AI.
What does it actually mean when we say that Google uses Machine Learning algorithms? In our latest Unwrapping the Secrets of SEO, guest contributor Olaf Kopp explains what exactly this refers to and where neural networks are applied in Google Search. Webmasters and SEOs take heed: you're key to helping provide Google's algorithms with training data. This article is the last in my series on Machine Learning. Part 2: It's All Semantic For Google Search Part 3: How Does Google's Knowledge Graph Work?
In this opinion piece, Melotti Media founder Christopher Melotti (pictured below) explores how voice-activated virtual assistants will significantly change the landscape of marketing, content creation and copywriting. The next revolution in technology and marketing is voice. The age of voice-activated virtual assistants and vocal command technology is upon us – Apple's Siri, Google's Home, Amazon's Alexa, Samsung's Bixby, Microsoft's Cortana, Ozlo, X.ai, just to name a few. History shows that the businesses who embrace new opportunities like this are the ones to reap to rewards, while those who lag behind become quickly ignored by customers. My message to brands: don't get left behind.
If you were to wander through the halls at the Consumer Electronics Show 2018 (CES) this year, chances are that one of the phrases you will have heard most often is artificial intelligence (AI). AI is, it appears, this year's IoT or Cloud. The hot buzzword that every company wants to associate itself with. The term has been plastered on marketing material for hundreds of disparate gadgets: Samsung's massive 8K TVs apparently use AI to upscale lower resolution images for the big screen. Sony has created a new version of the Aibo robot dog, which this time promises more artificial intelligence.
Almost a quarter century ago, a book was written about how organizations would focus on share of customer as opposed to share of market, building a personalized collaboration driven by big data. With advanced analytics, banking may finally getting close to realizing this vision. In 1993, a then revolutionary book, "The One to One Future: Building Relationships One Customer at a Time" was published, proposing the idea that as technology makes it affordable to track individual customers, marketing shifts from finding customers for products to finding products for customers. According to the authors, Don Peppers and Martha Rogers, Ph.D., a company could use technology to gather information about, and to communicate directly with, individuals to form a commercial bond. The book became a bestseller, and was on every marketer's bookshelf … almost a quarter century ago.
Marketing and Artificial Intelligence have had a great relationship for more than five years now. Although both fields emerged around the same time, marketing caught on because of the lack of technology requirement. We didn't need to have computers to process sales and marketing strategies. Now that we've experienced the tip of the iceberg when it comes to AI, we can imagine a better future with AI and marketing together. Most brands have been using AI as a tool to create value for their customers from a purely technological standpoint.
Each of us has a comfort level with things that we know and understand. That's why artificial intelligence scares us so much. Knowing that someone out in cyberspace learned something about the items we need and the services that we buy makes our palms sweat and our hearts race with fear and trepidation. The very thought of big brother watching our every move makes us uncomfortable. The unknown is a scary place and we feel threatened by it.
November 15, 2017 Written by: Kareem Yusuf, Ph.D As a huge Star Wars fan, I have always wanted to have a set of supernatural powers, such as the ability to sense impending attacks; influence the thoughts of others, known as the "Jedi mind trick;" and even see the future. In essence, the Force – meaning the wisdom, expertise and ability to know exactly what will happen next and what I should do in the moment. Of course, there is only one problem with all this--our current reality. Wilson predicted, the world will be run by synthesizers, people able to put together the right information at the right time and think critically about it to make important choices wisely. And, that is exactly what IBM Watson is doing today.
AI / ML are the undercurrents changing digital landscape. It is not very well understood on how they will exactly impact the fintech sector. Specific actionable use cases are still being debated. Corporate are slower to respond than start-ups. The speed of adoption can be accelerated if the specific uses cases and benefits are defined and measured from customer perspective.