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ASAPP - To measure the performance of Conversational AI, we need more strict, better quality benchmarks

To measure the performance of Conversational AI, we need more strict, better quality benchmarks

For conversational AI to advance, the broader scientific community must be able to work together and explore with easily accessible state-of-the-art baselines for fair performance comparisons. Read more

Suwon Shon
Suwon Shon, PhD

Senior Speech Scientist at ASAPP

ASAPP - To measure the performance of Conversational AI, we need more strict, better quality benchmarks
ASAPP - A contact center case study about call summarization strategies

A contact center case study about call summarization strategies

Is your call summarization strategy failing you? Learn from a large enterprise contact center’s mistakes. Read more

Gonzalo Chebi
Gonzalo Chebi, PhD

Data Scientist

ASAPP - A contact center case study about call summarization strategies
ASAPP - How to Understand Different Levels of AI Systems

How to Understand Different Levels of AI Systems

Understanding the level of an AI system can help predict how the system will change over time – whether it will continuously improve, remain the same, or even degrade. Read more

Michael Griffiths
Michael Griffiths

Data Scientist, ASAPP

ASAPP - How to Understand Different Levels of AI Systems
ASAPP - Bringing State of the Art Speech Transcription to CX

Bringing State of the Art Speech Transcription to CX

End-to-end architecture improves the scalability and performance of machine learning models for speech transcription to serve enterprise contact center needs better. Read more

Prashant Sridhar
Prashant Sridhar

Engineering Manager

ASAPP - Bringing State of the Art Speech Transcription to CX
ASAPP - Wav2vec could be more efficient. So we created our own pre-trained ASR Model for better Conversational AI

Wav2vec could be more efficient, so we created our own pre-trained ASR Model for better Conversational AI.

Wav2vec 2.0 is arguably the most popular approach for using self-supervised training in speech, but it could be more efficient. We introduce SEW for better efficiency and performance. Read more

Felix Wu
Felix Wu, PhD

Research Scientist at ASAPP

ASAPP - Wav2vec could be more efficient. So we created our own pre-trained ASR Model for better Conversational AI
ASAPP - Designed to be proficient on Day 1

Designed to be proficient on day 1

By combining an intuitive user experience with AI-driven recommendations, you can radically improve the onboarding process. Here’s our approach to making agents successful, faster. Read more

Brad Stell
Brad Stell

VP, Product Design

ASAPP - Designed to be proficient on Day 1
ASAPP - How anomaly detection helps you handle the unexpected

How anomaly detection helps you handle the unexpected

CX teams can identify and react to unexpected customer behavior faster using ASAPP anomaly detection. Learn what makes our models so effective. Read more

Sam Altschul
Sam Altschul, PhD

Machine Learning Scientist, ASAPP

ASAPP - How anomaly detection helps you handle the unexpected
ASAPP - The keys to CX success in 2022 (and beyond)

The keys to CX success in 2022 (and beyond)

The new year brings new challenges for CX organizations. Here are four real ways teams are succeeding during these uncertain times. Read more

Michael Lawder
Michael Lawder

Chief Experience Officer, ASAPP

ASAPP - The keys to CX success in 2022 (and beyond)
ASAPP - GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation

GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation

New ASAPP research introduces an orthogonal technique that augments existing data to train better out of scope detectors operating in low-data regimes. Read more

Derek Chen
Derek Chen

Research Scientist at ASAPP

ASAPP - GOLD: Improving Out-of-Scope Detection in Dialogues using Data Augmentation
ASAPP - Learning to recommend what agents should do

Learning to recommend what agents should do

Are your ML models learning the right things? Here’s what we discovered when we took a closer look at what agents do vs. what they should do in one situation. Read more

Chris Fox
Chris Fox

Staff Machine Learning Engineer

ASAPP - Learning to recommend what agents should do