Banks have long known that if they can capture the attention of customers when they are young, they are likely to get hold of them for life. For this reason, they have always been quick to jump on new and emerging trends, and today’s hot tech potato – the metaverse
Blockchain has been one of the most talked-about tech trends of the last few years. As with many other trends that were important before the pandemic hit, it didn’t make as many headlines in 2021 as it has done previously. But development has been ongoing and the year saw continued
Self-driving cars, lifelike robots, and autonomous delivery drones are the sexy, headline-grabbing face of the digital transformation that we see all around us today. None of these would be possible, though, without data – the oil of the fourth industrial revolution – and the analytic technology we’ve built to allow
Don’t fall into the trap of thinking that blockchain and distributed ledger technology is yesterday’s news. In fact, it’s still very much in its infancy – only a relatively small number of organizations have achieved a sufficient level of maturity in their digital operations that they are in a position to successfully leverage it. The future of blockchain is very much intertwined with other emerging and nascent technologies like AI and IoT.
Companies who bring many of these customer service trends to life are the ones who are going to be successful. Nike is one of those companies. They invested in a value-added app that helps customers track their runs. At the same time, the app provides value to the customer, it’s providing information about customers to Nike. So, after a certain amount of miles run, the app might suggest to the customer it’s time for a new pair of Nikes. Through augmented reality, the customer can point the app to their foot and try on different styles. Then, it’s able to size your foot perfectly, and you can place the order and get your new trainers in record time. And for those that prefer a tangible experience, you can touch, feel, and smell their products in their flagship stores.
We are amidst the 4th Industrial Revolution, and technology is evolving faster than ever. Companies and individuals that don’t keep up with some of the major tech trends run the risk of being left behind. Understanding the key trends will allow people and businesses to prepare and grasp the opportunities. As a business and technology futurist, it is my job to look ahead and identify the most important trends. In this article, I share with you the seven most imminent trends everyone should get ready for in 2020.
As we enter new frontiers with the latest technology trends and enjoy the many positive impacts and benefits it can have on the way we work, play and live, we must always be mindful and prepare for possible negative impacts and potential misuse of the technology. Here are seven of the most dangerous technology trends:
Each year, I take a look at the major digital transformation trends hitting every industry. Next up are the big digital transformation trends in retail for 2020.
Before getting into this year’s trends, I want to go over some of the hits and misses we chose for 2019. While we did see major and necessary improvements in omni-channel retail and AI/cognitive computing, I’d say we still have some work to do with cardless checkout and smart beacons. Yes, those technologies are still percolating and will likely continue to mature in the coming year. But for 2020, I see some more significant trends moving the industry forward.
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.
“Augmented analytics” is a true emerging trend: we’re on our way, but the number of applications is still thin. I’m not too sure about Gartner’s “citizen data scientist” concept, but if it helps us understand and define the interrelationships among data preparation, the automated and quasi-automated generation of insights, and “human assistance” in areas like natural language processing (NLP) and auto-generated visualization, then I guess “citizens” are better than traitors.