Why Voice AI Is Customer Service’s Secret Weapon
Voice AI has significant potential to address some of the most critical pain points for customers in every industry.
Topic: Customer Experience Management
How real-time data is used for applications in customer-experience management, including marketing, customer service, content strategy, and loyalty programs.
Overcoming the Challenges of Building a Real-time Architecture for Audience Engagement
To provide the real-time experiences that users crave today, companies need to implement an event-driven architecture (EDA) system.
IT Predictions Center on Observability, OpenTelemetry
The year 2022 will bring growing acceptance of OpenTelemetry for observability and a new focus on developers and customer
The Challenge of Full-Stack Observability
Research highlights how the observability tools market is fragmented and how user implementations may still be in the early
Observability and AIOps Help IT Stop Chasing Tickets
Observability for SREs, DevOps and IT operations allows teams to focus on developing better services with superior customer
React Native vs. Ionic: Which Is the Best Cross-Platform Framework?
The React Native and Ionic frameworks offer different features. Selecting the best for an application's development will depend on the application's properties …
Fascinating Thesis Brings AI to the Clothing Industry
Companies that adopt AI in the next few years will have a competitive advantage. AI could improve supply chain efficiency and provide greener
Call Center Conundrum: The Future is Flexibility
With the rise of virtual agents, split shifts provide an opportunity to improve both the agent and end-customer
Your Customers Interact with Your Brand in Real-Time, It’s Time You Follow Suit
Today's digitally-savvy, continuously connected consumers have no patience for data latency and data silos that are the main obstacles to a relevant, …
Advanced NLU: Why You Need to Understand People to Help Them
Where conversational AI shines is in adding proprietary language understanding algorithms on top of commonly used ones.
