Since the days of Alan Turing, there’s been decades and decades of debate on if his test really is an accurate method for identifying artificial intelligence. However, the sentiment behind the idea remains: As AI gains traction, will we be able to tell the difference between human and machine? And if AI is already transforming the way we want customer service, how else could it change our jobs as marketers?
Don Schuerman, CTO and VP Product Marketing, Pegasystems talks about AI’s impact on marketers and key considerations for integrating AI into their current technology stack
Paradoxically for a machine, AI’s greatest strength may be in creating a more personal experience for your customer. From product personalization to virtual personal shoppers.
In 2017, marketers will be using artificial intelligence and machine learning as the norm, not the exception. While not every marketer will be making direct connections to AIs such as Google Deep Mind or IBM Watson, more and more of our toolsets will have connections into at least one machine learning or artificial intelligence system.
AI offers an array of benefits that can help turn gigabytes of unmanageable data into workable insights and real-time decisions. Here are five.
The technology can enhance creativity by taking over marketing’s more mundane tasks. But will AI ultimately replace human beings?
Artificial intelligence specifically machine learning, is an increasingly integral part of many industries, including marketing.
Here are a whole bunch of case studies and use cases, as a complete primer for AI in our industry.
At Inbound 2016, HubSpot’s co-founders Brian Halligan and Dharmesh Shah entertained 19,000 attendees with their take on the past and future of marketing. Here’s what Gil Press learned from their keynote presentation and a brief interview.
In this article, Hootsuite shares the five use cases that are gaining traction across industries. These are based on Skype interviews with leading AI companies, content marketing experts, and analyst reports.
Artificial intelligence has dominated popular culture for years; it may soon dominate marketing. Scientists, researchers and marketers are looking for the next step to make data self-aware
With businesses losing $1.6trn annually due to poor customer service (according to Accenture research), it’s a pressing issue for many brands.
Can artificial intelligence militate against some of this loss? There are a number of different technologies in the market. Here’s an overview…
Customer-service reps are getting real-time coaching from software that has learned to detect problems in a conversation.
The next frontier for AI will be on the frontline of the brand communicating directly with the buyers rather than some back-office process. But to do so, it must be able to understand and communicate in the language of buyers and gauge deep insights about them.