Enter intelligent document processing (IDP), which uses machine learning to capture, classify and extract the most difficult to automate data: unstructured.
As we look to establish ethical frameworks for AI, it is important to consider these four essential questions, argues Sanjay Srivastava of Genpact.
by Thomas Fauvel PARIS - What if I told you that Louis XIV inadvertently...
Whilst it is accepted that AI will transform certain areas of commerce more than others, AI is undoubtedly set to transform the economy. Here's four trends that will significantly impacts the future of business - and the economy as a whole.
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.