R&D Innovations

ASAPP—Why AHT Isn’t the Right Measure in an Asynchronous and Multi-Channel World

Why AHT isn’t the right measure in an asynchronous and multi-channel world

How should we be measuring agent efficiency when it comes to concurrent digital conversations? In a multi-channel world, is AHT really the right metric to gauge CX success? Read more

Heather Reed
Heather Reed, PhD

Data Scientist, ASAPP

ASAPP—Why AHT Isn’t the Right Measure in an Asynchronous and Multi-Channel World
ASAPP—Solving complex contact center challenges requires innovation.

The brittleness of RPA is failing you

Overcome the limitations of RPA with AI-driven automation that helps your agents more efficiently navigate a myriad of back office systems. Read more

Nicolás D'Ippolito
Nicolás D’Ippolito, PhD

Head of Engineering

ASAPP—Solving complex contact center challenges requires innovation.
ASAPP—Gustavo Sapoznik

Increasing human productivity is key to transforming CX

True CX innovation requires a focus on the agents who interact with your customers all day. Watch now

Gustavo Sapoznik
Gustavo Sapoznik

Founder and CEO, ASAPP

ASAPP—Gustavo Sapoznik
ASAPP—Using Automation to Increase Revenue During Customer Conversations

Using automation to increase revenue during customer conversations

Grow your revenue by using patented AI technology to determine the right time to upsell and the right offer to present. Read more

Shawn Henry
Shawn Henry, PhD

Director of Intellectual Property and Research Scientist at ASAPP

ASAPP—Using Automation to Increase Revenue During Customer Conversations
ASAPP—How model calibration leads to better automation

How model calibration leads to better automation

Integrating machine learning into agent workflows can radically increase productivity. But for the best accuracy (and results), you need proper calibration. Read more

Ethan Elenberg
Ethan Elenberg, PhD

Research Scientist at ASAPP

ASAPP—How model calibration leads to better automation
ASAPP—Training natural language models to understand new customer events in hours

Training natural language models to understand new customer events in hours

When we apply structured nearest neighbor learning techniques to named entity recognition (NER), we’re able to double performance, improving accuracy and customer experiences. Read more

Yi Yang
Yi Yang, PhD

Research Scientist, ASAPP

ASAPP—Training natural language models to understand new customer events in hours

The consumer is the ultimate winner in the race for accuracy in speech recognition

ASAPP Research takes the lead, moving ahead of Google, with 98.25% ASR accuracy. Consumer companies and the customers they serve are the real winners. Read more

Kyu Han
Kyu Han, PhD

Director of Speech Modeling, ASAPP

ASAPP—Research feeds product innovation

Research feeds product innovation

Real product innovation is born from machine learning research—and a passion for doing things that have never been done before. Watch now

Sam Altschul
Sam Altschul, PhD

Machine Learning Scientist, ASAPP

ASAPP—Research feeds product innovation
ASAPP—Fast, accurate transcription and analytics can transform your business

Fast, accurate transcription and analytics can transform your business

Real-time highly accurate transcription that feeds analytics for immediate action can significatly improve CX performance and customer satisfaction. Watch now

Tao Ma
Tao Ma, PhD

VP of Language Technology group at ASAPP

ASAPP—Fast, accurate transcription and analytics can transform your business
ASAPP—How machine learning delivers a custom solution for every enterprise

How machine learning delivers a custom solution for every enterprise

ASAPP AI models continuously learn from every customer interaction to optimize for your business. Learn why this advanced machine learning is radically more efficient than rules-based systems. Watch now

Michael Griffiths
Michael Griffiths

Data Scientist, ASAPP

ASAPP—How machine learning delivers a custom solution for every enterprise