Digitization, automation, and other technological trends could transform the workplace in unpredictable ways - here's how to get training and employment right in the era of AI.
50 percent of queries are being handled either in full or partially by automated workflows. That level of automation might seem shocking, but we strongly believe (and are betting heavily on the fact) that automation is an inevitability for the enterprise when it comes to the future of customer service. So how do you get started preparing your support organization for this future?
This report highlights the importance of getting digital self-service capabilities right and helps customer service leaders understand the technology ecosystem necessary to power great self-service.
Though social and attitudinal barriers continue to create a disabling effect, here are five areas where new tech and AI is bringing barriers down.
Diversity in AI is a culture issue—not a technology issue. We interviewed Payal Jain, Chair of Women in Data and MD at JCURV, to investigate why.
To gain a better understanding of where AI for cybersecurity is today, we sat down with Dave Palmer, Director of Technology at Darktrace.
Brands are under pressure to take multichannel strategy one step further to introduce omnichannel capabilities. AI can help - here's how.
By using AI and machine learning to gather and analyze vast amounts of behavioral, social and historical data, it is possible for organizations to develop a far deeper, more personal understanding of their customers.
It is essential that the corporate world prepares for the inevitable impact of deepfakes, educating employees about this emerging threat, and integrating media authentication tools into their data pipelines.