“Even before Covid-19, Gen Z was eschewing traditional social media for “digital campfires,” more intimate online destinations where they private message or connect either in micro-communities or larger shared experiences. In 2020, activity on these platforms exploded, and digital campfires became a force defining not only how Gen Z audiences
Manufacturers need to move forward with real-time integration between their CRM, ERP and PLM systems so their broader goals of Corporate Social Responsibility (CSR), sustainability and Configure, Price, Quote (CPQ) selling can be achieved.
In the past, marketers have given audio a respectable nod because of the outgrowth of smart speakers and smart assistants. They assumed that voice-activated shopping would be a huge hit, bringing value back to the spoken word. Unfortunately – that hasn’t happened. In fact, research shows voice shopping has dropped from 43% down to 24% over the past year. So, if audio isn’t going to make companies money through shopping, how will it? Truthfully – lots of ways. Most of them aren’t that different than how they used to make money – through ads on the radio. But others, when intertwined with other emerging media, also show promise. The following are my top picks for ways audio marketing will take off in the next decade.
Not long again, facial recognition software was the next hot thing. But as recently as July, Oakland, California, became the third city to ban its government agencies from using facial recognition technology, following San Francisco, and Sommerville, Massachusetts. Experts expect more cities to follow suit. So, where does that leave the future of the technology?
Especially as marketers trying to leverage facial recognition as a vehicle to improving customer experience. Is there still a way for us to use the technology? How can we tap into the benefits without crossing the line of personal privacy?
Is there more to AI than automation and data processing? Yes—a lot more. And now that some of the more basic functions of AI have matured, we’re going to see a sharp increase in the sophistication of AI, as it becomes more and more human. The following is a brief look at where the enterprise is when it comes to AI, and where we’re about to start heading.