Latest AI Opinions
No other technology has captured the world’s imagination quite like AI, and there is perhaps no other that has been as disruptive. AI has already transformed the lives of people and businesses and will continue to do so in endless ways as more startups uncover its potential. According to a recent study, venture capital funding for AI startups in the UK increased by more than 200 percent last year, while a Stanford University study observed a 14-times increase in the number of AI startups worldwide in the last two years.
Being able to understand another’s emotions is undeniably a vital and defining characteristic for anyone looking to be successful in a customer-facing role.
But as we enter a new digital era, artificial intelligence (AI)-supported technology like chatbots are increasingly automating more of the customer experience. And more is on its way, from AI that can decipher good from bad calls, to machine learning that can translate phone conversations in real time.
Ahead of Eleni Sarla’s presentation at ad:tech London in September, Techerati sat down with the self-described culture vulture to discover how she is finding her new leadership role, why she decided to move from a media agency to an arts and entertainment specialist, and how technology is being used to heighten one-to-one cultural experiences.
The convergence of AI and edge computing is still in its infancy, but together they hold the potential to revolutionise the lives of consumers and businesses alike. But it is not a marriage without its challenges.
As of this summer, the fashion retailer is using machine learning to ensure it has the right stock, in the right place, at the right time. Techerati talked to eCommerce Expo speaker Simon Calvert about his role in helping the retailer intelligently pre-empt markdown.
Today, consumers expect more from the brands they choose to follow and engage with and are demanding smarter and savvier experiences. Big businesses are using customer insight in elevating the customer experience but, marketing technology (MarTech) presents a unique challenge. How can companies create personal, one-on-one long-lasting relationships with customers while deploying digital, automated technology that all but eliminates the human factor?
Machine learning researchers are not solely concerned with improving the accuracy of models. They want to know how they can be corrupted and undermined – a research agenda that warrants more attention. Techerati spoke to an IBM researcher at the heart of it.