Attended vs. Unattended RPA: The Differences Explained
Attended RPA bots are activated by users who can trigger them when needed. Unattended RPA works on a set schedule. Explore the differences between the two.
Transform the Back-Office With Front-Office CX Sensibility
Discover how a user-centric approach aligns your back-office with your customers' needs and unlocks new business opportunities. Read the eBook.
How Businesses Can Use Automation To Capitalize on the Metaverse Opportunity
In the metaverse virtual reality, customer trust and safety are key to future business success. Learn how to navigate metaverse problems and capitalize on the opportunities.
Metaverse of Opportunities
The metaverse presents new worlds of opportunities for businesses but bad actors will use the same tools to commit fraud, leading to customer distrust.
Learn How AI-Driven Analytics Is Driving the Future of Customer Care
Traditional customer care metrics have taken service and support as far as they can. New AI-driven analytics are stepping up to carry the contact center forward.
Können wir dem Metaverse vertrauen?
When you put on a VR headset or AR handset to access the metaverse, you unlock a rich, immersive virtual environment where you can interact, shop, game, learn, create and work. But there’s a trade-off. These virtual worlds soak up a huge amount of information about users, including their habits, persona, voice, surroundings and even ...
Tomorrow’s Customer Care: More Than Just a Cost Center
Tomorrow's customer care will pay for itself by driving greater value. Some brands are profiting already.
Real Time Analytics Architecture
Having an optimized real-time analytics architecture is essential for an optimally functioning system. Do not lose out on key insights with our guide.
What are Different Types of Customer Analytics?
Are you interested in learning more about the different types of customer analytics? Look no further than this quick guide from Sutherland.
What’s your mental model of a mental model?
The term ‘mental model’ crops up frequently in user research. In briefs. In debriefs. In just about every research context (save the sessions themselves). I’ve even been known to utter it myself. But recently I’ve seen it used in so many different contexts to mean so many different things that I thought it might be ...
